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Transistor count

Number of transistors in a device

Transistor count

Summary

Number of transistors in a device

The transistor count is the number of transistors in an electronic device (typically on a single substrate or silicon die). It is the most common measure of integrated circuit complexity (although the majority of transistors in modern microprocessors are contained in cache memories, which consist mostly of the same memory cell circuits replicated many times). The rate at which MOS transistor counts have increased generally follows Moore's law, which observes that transistor count doubles approximately every two years. However, being directly proportional to the area of a die, transistor count does not represent how advanced the corresponding manufacturing technology is. A better indication of this is transistor density which is the ratio of a semiconductor's transistor count to its die area.

Records

, the highest transistor count in flash memory is Micron's 2terabyte (3D-stacked) 16-die, 232-layer V-NAND flash memory chip, with 5.3trillion floating-gate MOSFETs (3bits per transistor).

The highest transistor count in a single chip processor is that of the deep learning processor Wafer Scale Engine 2 by Cerebras. It has 2.6trillion MOSFETs in 84 exposed fields (dies) on a wafer, manufactured using TSMC's 7 nm FinFET process.

, the GPU with the highest transistor count is Nvidia's Blackwell-based B100 accelerator, built on TSMC's custom 4NP process node and totaling 208 billion MOSFETs.

The highest transistor count in a consumer microprocessor is 184billion transistors, in Apple's ARM-based dual-die M3 Ultra SoC, which is fabricated using TSMC's 3 nm semiconductor manufacturing process.

YearComponentNameNumber of MOSFETs
(in trillions)Remarks
2022Flash memoryMicron's V-NAND module5.3stacked package of sixteen 232-layer 3D NAND dies
2020any processorWafer Scale Engine 22.6wafer-scale design of 84 exposed fields (dies)
2024GPUNvidia B1000.208Uses two reticle limit dies, with 104 billion transistors each, joined and acting as a single large monolithic piece of silicon
2025Microprocessor
(consumer)Apple M3 Ultra0.184SoC using two dies joined with a high-speed bridge
2020DLPColossus Mk2 GC2000.059An IPU (Intelligence Processing Unit) in contrast to CPU and GPU

In terms of computer systems that consist of numerous integrated circuits, the supercomputer with the highest transistor count was the Chinese-designed Sunway TaihuLight, which has for all CPUs/nodes combined "about 400 trillion transistors in the processing part of the hardware" and "the DRAM includes about 12 quadrillion transistors, and that's about 97 percent of all the transistors." To compare, the smallest computer, dwarfed by a grain of rice, had on the order of 100,000 transistors. Early experimental solid-state computers had as few as 130 transistors but used large amounts of diode logic. The first carbon nanotube computer had 178 transistors and was a 1-bit one-instruction set computer, while a later one is 16-bit (its instruction set is 32-bit RISC-V though).

Ionic transistor chips ("water-based" analog limited processor), have up to hundreds of such transistors.

Estimates of the total numbers of transistors manufactured:

  • Up to 2014:
  • Up to 2018: {{cite web

Transistor count

Plot of [[MOS transistor]] counts for [[microprocessor]]s against dates of in­tro­duction. The curve shows counts doubling every two years, per [[Moore's law]].

Microprocessors

A microprocessor incorporates the functions of a computer's central processing unit on a single integrated circuit. It is a multi-purpose, programmable device that accepts digital data as input, processes it according to instructions stored in its memory, and provides results as output.

The development of MOS integrated circuit technology in the 1960s led to the development of the first microprocessors. The 20-bit MP944, developed by Garrett AiResearch for the U.S. Navy's F-14 Tomcat fighter in 1970, is considered by its designer Ray Holt to be the first microprocessor. It was a multi-chip microprocessor, fabricated on six MOS chips. However, it was classified by the Navy until 1998. The 4-bit Intel 4004, released in 1971, was the first single-chip microprocessor.

Modern microprocessors typically include on-chip cache memories. The number of transistors used for these cache memories typically far exceeds the number of transistors used to implement the logic of the microprocessor (that is, excluding the cache). For example, the last DEC Alpha chip uses 90% of its transistors for cache.

ProcessorTransistor countYearDesignerProcess
(nm)Area (mm2)Transistor
density
(tr./mm2)ProcessorTransistor countYearDesignerProcess
(nm)Area (mm2)Transistor
density
(tr./mm2)
MP944 (20-bit, 6-chip, 28 chips total)74,442 (5,360 excl. ROM & RAM)last1=Holtfirst1=Raytitle=World's First Microprocessorurl=https://www.firstmicroprocessor.com/quote=1st fully integrated chip set microprocessoraccess-date=5 March 2016}}Garrett AiResearch
Intel 4004 (4-bit, 16-pin)2,2501971Intel10,000 nm12 mm2188
PPS-25 (4-bit, 2-chip)1971FairchildLikely 10,000 nm
TMX 1795 (8-bit, 24-pin)3,0781971Texas Instruments30.64 mm2100.5
Intel 8008 (8-bit, 18-pin)3,5001972Intel10,000 nm14 mm2250
NEC μCOM-4 (4-bit, 42-pin)2,5001973NECtitle=1970s: Development and evolution of microprocessorsurl=http://www.shmj.or.jp/english/pdf/ic/exhibi748E.pdfwebsite=Semiconductor History Museum of Japanaccess-date=27 June 2019url-status=deadarchive-url=https://web.archive.org/web/20190627161417/http://www.shmj.or.jp/english/pdf/ic/exhibi748E.pdfarchive-date=27 June 2019}}
Toshiba TLCS-12 (12-bit)title=1973: 12-bit engine-control microprocessor (Toshiba)url=http://www.shmj.or.jp/english/pdf/ic/exhibi739E.pdfwebsite=Semiconductor History Museum of Japanaccess-date=27 June 2019url-status=deadarchive-url=https://web.archive.org/web/20190627203018/http://www.shmj.or.jp/english/pdf/ic/exhibi739E.pdfarchive-date=27 June 2019}}1973Toshiba6,000 nm32.45 mm2340+
Intel 4040 (4-bit, 16-pin)3,0001974Intel10,000 nm12 mm2250
Motorola 6800 (8-bit, 40-pin)4,1001974Motorola6,000 nm16 mm2256
Intel 8080 (8-bit, 40-pin)6,0001974Intel6,000 nm20 mm2300
TMS 1000 (4-bit, 28-pin)8,0001974Texas Instruments8,000 nm11 mm2730
HP Nanoprocessor (8-bit, 40-pin)46391974Hewlett-Packard19 mm2
MOS Technology 6502 (8-bit, 40-pin)4,5281975MOS Technology8,000 nm21 mm2216
Intersil IM6100 (12-bit, 40-pin; clone of PDP-8)4,0001975Intersil2 for outer dimension of chip, not die, need to find it; assuming square die size is ([much] smaller than) 174.4 mm2 --
CDP 1801 (8-bit, 2-chip, 40-pin)5,0001975RCA
RCA 1802 (8-bit, 40-pin)5,0001976RCA5,000 nm27 mm2185
Zilog Z80 (8-bit, 4-bit ALU, 40-pin)8,5001976Zilog4,000 nm18 mm2470
Intel 8085 (8-bit, 40-pin)6,5001976Intel3,000 nm20 mm2325
TMS9900 (16-bit)8,0001976Texas Instruments
Bellmac-8 (8-bit)7,0001977Bell Labs5,000 nm
Motorola 6809 (8-bit with some 16-bit features, 40-pin)9,0001978Motorola5,000 nm21 mm2430
Intel 8086 (16-bit, 40-pin)29,0001978Intel3,000 nm33 mm2880
Zilog Z8000 (16-bit)17,5001979Zilog5,000-6,000 nm (design rules)39.31 mm2 (238x256 mil2)445
Intel 8088 (16-bit, 8-bit data bus)29,0001979Intel3,000 nm33 mm2880
Motorola 68000 (16/32-bit, 32-bit registers, 16-bit ALU)68,0001979Motorola3,500 nm44 mm21,550
Intel 8051 (8-bit, 40-pin)50,0001980Intel
WDC 65C02url=https://web.archive.org/web/20131203015458/http://icarus.cs.weber.edu/home/dferro/ada/Christiansen_Report_Finished/Finishedmicroprocessors.docdate=December 3, 2013 }} Christiansen1981WDC3,000 nm6 mm21,920
ROMP (32-bit)45,0001981IBM2,000 nm58.52 mm2770
Intel 80186 (16-bit, 68-pin)55,0001982Intel3,000 nm60 mm2920
Intel 80286 (16-bit, 68-pin)134,0001982Intel1,500 nm49 mm22,730
WDC 65C816 (8/16-bit)22,0001983WDC3,000 nm9 mm22,400
NEC V2063,0001984NEC
Motorola 68020 (32-bit; 114 pins used)first=Paullast=Demoneurl=http://www.realworldtech.com/arms-race/title=ARM's Race to World Dominationpublisher=real world technologiesdate = 2000-11-09access-date=2015-07-20}}1984Motorola2,000 nm85 mm22,200
Intel 80386 (32-bit, 132-pin; no cache)275,0001985Intel1,500 nm104 mm22,640
ARM 1 (32-bit; no cache)25,0001985Acorn3,000 nm50 mm2500
Novix NC4016 (16-bit)16,0001985Harris Corporation3,000 nm
SPARC MB86900 (32-bit; no cache)110,0001986Fujitsu1,200 nm
vauthors=Kimura S, Komoto Y, Yano Ytitle=Implementation of the V60/V70 and its FRM functionjournal=IEEE Microvolume=8issue=2pages=22–36year=1988doi=10.1109/40.527s2cid=9507994 }} (32-bit; no cache)375,0001986NEC1,500 nm
ARM 2 (32-bit, 84-pin; no cache)27,0001986Acorn2,000 nm30.25 mm2890
Z80000 (32-bit; very small cache)91,0001986Zilog
NEC V70 (32-bit; no cache)385,0001987NEC1,500 nm
Hitachi Gmicro/200730,0001987Hitachi1,000 nm
Motorola 68030 (32-bit, very small caches)273,0001987Motorola800 nm102 mm22,680
TI Explorer's 32-bit Lisp machine chipauthor1=Bosshart, P.author2=Hewes, C.author3=Mi-Chang Changauthor4=Kwok-Kit Chauauthor5=Hoac, C.author6=Houston, T.author7=Kalyan, V.author8=Lusky, S.author9=Mahant-Shetti, S.author10=Matzke, D.author11=Ruparel, K.author12=Ching-Hao Shawauthor13=Sridhar, T.author14=Stark, D.title=A 553K-Transistor LISP Processor Chipjournal=IEEE Journal of Solid-State Circuitsvolume=22issue=5pages=202–3date=October 1987doi=10.1109/ISSCC.1987.1157084s2cid=195841103 }}1987Texas Instruments2,000 nm
DEC WRL MultiTitan180,0001988DEC WRL1,500 nm61 mm22,950
Intel i960 (32-bit, 33-bit memory subsystem, no cache)250,0001988Inteltitle=Intel i960 Embedded Microprocessorurl=http://micro.magnet.fsu.edu/optics/olympusmicd/galleries/chips/intel960b.htmlarchive-url=https://web.archive.org/web/20030303223737/http://micro.magnet.fsu.edu/optics/olympusmicd/galleries/chips/intel960b.htmlurl-status=deadarchive-date=3 March 2003website=National High Magnetic Field Laboratorypublisher=Florida State Universityaccess-date=29 June 2019date=3 March 2003}}
Intel i960CA (32-bit, cache)600,0001989Intel800 nm143 mm24,200
Intel i860 (32/64-bit, 128-bit SIMD, cache, VLIW)1,000,0001989Intel
Intel 80486 (32-bit, 8 KB cache)1,180,2351989Intel1,000 nm173 mm26,822
ARM 3 (32-bit, 4 KB cache)310,0001989Acorn1,500 nm87 mm23,600
POWER1 (9-chip module, 72 kB of cache)6,900,0001990IBM1,000 nm1,283.61 mm25,375
Motorola 68040 (32-bit, 8 KB caches)1,200,0001990Motorola650 nm152 mm27,900
R4000 (64-bit, 16 KB of caches)1,350,0001991MIPS1,000 nm213 mm26,340
ARM 6 (32-bit, no cache for this 60 variant)35,0001991ARM800 nm
Hitachi SH-1 (32-bit, no cache)600,0001992Hitachi800 nm100 mm26,000
Intel i960CF (32-bit, cache)900,0001992Intel125 mm27,200
Alpha 21064 (64-bit, 290-pin; 16 KB of caches)1,680,0001992DEC750 nm233.52 mm27,190
Hitachi HARP-1 (32-bit, cache)2,800,0001993Hitachi500 nm267 mm210,500
Pentium (32-bit, 16 KB of caches)3,100,0001993Intel800 nm294 mm210,500
POWER2 (8-chip module, 288 kB of cache)23,037,0001993IBM720 nm1,217.39 mm218,923
ARM700 (32-bit; 8 KB cache)578,9771994ARM700 nm68.51 mm28,451
MuP21 (21-bit, 40-pin; includes video)7,0001994Offete Enterprises1,200 nm
Motorola 68060 (32-bit, 16 KB of caches)2,500,0001994Motorola600 nm218 mm211,500
PowerPC 601 (32-bit, 32 KB of caches)2,800,0001994Apple, IBM, Motorola600 nm121 mm223,000
PowerPC 603 (32-bit, 16 KB of caches)1,600,0001994Apple, IBM, Motorola500 nm84.76 mm218,900
PowerPC 603e (32-bit, 32 KB of caches)2,600,0001995Apple, IBM, Motorola500 nm98 mm226,500
Alpha 21164 EV5 (64-bit, 112 kB cache)9,300,0001995DEC500 nm298.65 mm231,140
SA-110 (32-bit, 32 KB of caches)2,500,0001995Acorn, DEC, Apple350 nm50 mm250,000
Pentium Pro (32-bit, 16 KB of caches; L2 cache on-package, but on separate die)5,500,0001995Intel500 nm307 mm218,000
PA-8000 64-bit, no cache3,800,0001995HP500 nm337.69 mm211,300
Alpha 21164A EV56 (64-bit, 112 kB cache)9,660,0001996DEC350 nm208.8 mm246,260
AMD K5 (32-bit, caches)4,300,0001996AMD500 nm251 mm217,000
Pentium II Klamath (32-bit, 64-bit SIMD, caches)7,500,0001997Intel350 nm195 mm239,000
AMD K6 (32-bit, caches)8,800,0001997AMD350 nm162 mm254,000
F21 (21-bit; includes e.g. video)15,000url=http://www.ultratechnology.com/f21cpu.htmltitle=F21 CPUquote=F21 offers video I/O, analog I/O, serial network I/O, and a parallel I/O port on chip. F21 has a transistor count of about 15,000 vs about 7,000 for MuP21.website=www.ultratechnology.comaccess-date=2019-09-06}}Offete Enterprises2 --
AVR (8-bit, 40-pin; w/memory)140,000 (48,000
excl. memory{{Cite weburl=https://www.embeddedrelated.com/showthread/comp.arch.embedded/14362-1.phptitle=Transistor count of common uCs?author=Ulf Samuelssonwebsite=www.embeddedrelated.comquote=IIRC, The AVR core is 12,000 gates, and the megaAVR core is 20,000 gates. Each gate is 4 transistors. The chip is considerably larger since the memory uses quite a lot.1997Nordic VLSI/Atmel
Pentium II Deschutes (32-bit, large cache)7,500,0001998Intel250 nm113 mm266,000
Alpha 21264 EV6 (64-bit)15,200,0001998DEC350 nm313.96 mm248,400
Alpha 21164PC PCA57 (64-bit, 48 kB cache)5,700,0001998Samsung280 nm100.5 mm256,700
Hitachi SH-4 (32-bit, caches)last1=Nakagawafirst1=Noriolast2=Arakawafirst2=Fumiodate=April 1999title=Entertainment Systems and High-Performance Processor SH-4url=https://www.hitachi.com/rev/1999/revapr99/r2_103.pdfjournal=Hitachi Reviewvolume=48issue=2pages=58–63access-date=2023-03-183,200,000
ARM 9TDMI (32-bit, no cache)111,0001999Acorn350 nm4.8 mm223,100
Pentium III Katmai (32-bit, 128-bit SIMD, caches)9,500,0001999Intel250 nm128 mm274,000
Emotion Engine (64-bit, 128-bit SIMD, cache)last1=Hennessyfirst1=John L.author-link1=John L. Hennessylast2=Pattersonfirst2=David A.author-link2=David Patterson (scientist)title=Computer Architecture: A Quantitative Approachpage=491url=https://books.google.com/books?id=XX69oNsazH4C&pg=PA491access-date=9 April 2013edition=3date=29 May 2002publisher=Morgan Kaufmannisbn=978-0-08-050252-6}}1999Sony, Toshiba250 nmlast1=Diefendorfffirst1=Keithtitle=Sony's Emotionally Charged Chip: Killer Floating-Point "Emotion Engine" To Power PlayStation 2000journal=Microprocessor Reportdate=April 19, 1999volume=13issue=5s2cid=29649747url=http://pdfs.semanticscholar.org/9248/eea6c98e5a7fc45606d9d562a0e74707ce43.pdfarchive-url=https://web.archive.org/web/20190228125309/http://pdfs.semanticscholar.org/9248/eea6c98e5a7fc45606d9d562a0e74707ce43.pdfurl-status=deadarchive-date=February 28, 2019access-date=19 June 2019}}43,800 – 56,300
Pentium II Mobile Dixon (32-bit, caches)27,400,0001999Intel180 nm180 mm2152,000
AMD K6-III (32-bit, caches)21,300,0001999AMD250 nm118 mm2181,000
AMD K7 (32-bit, caches)22,000,0001999AMD250 nm184 mm2120,000
Gekko (32-bit, large cache)title=NVIDIA GeForce 7800 GTX GPU Reviewurl=https://pcper.com/2005/06/nvidia-geforce-7800-gtx-gpu-review/website=PC Perspectiveaccess-date=18 June 2019date=22 June 2005}}2000IBM, Nintendo180 nm43 mm2490,000 (check)
Pentium III Coppermine (32-bit, large cache)21,000,0002000Intel180 nm80 mm2263,000
Pentium 4 Willamette (32-bit, large cache)42,000,0002000Intel180 nm217 mm2194,000
SPARC64 V (64-bit, large cache)191,000,0002001Fujitsu130 nm290 mm2659,000
Pentium III Tualatin (32-bit, large cache)45,000,0002001Intel130 nm81 mm2556,000
Pentium 4 Northwood (32-bit, large cache)55,000,0002002Intel130 nm145 mm2379,000
Itanium 2 McKinley (64-bit, large cache)220,000,0002002Intel180 nm421 mm2523,000
Alpha 21364 (64-bit, 946-pin, SIMD, very large caches)url=https://en.wikichip.org/wiki/compaq/microarchitectures/alpha_21364title=Alpha 21364 - Microarchitectures - Compaq - WikiChipwebsite=en.wikichip.orgaccess-date=2019-09-08}}2003DEC180 nm397 mm2383,000
AMD K7 Barton (32-bit, large cache)54,300,0002003AMD130 nm101 mm2538,000
AMD K8 (64-bit, large cache)105,900,0002003AMD130 nm193 mm2548,700
Pentium M Banias (32-bit)77,000,0002003Intel130 nm83 mm2928,000
Itanium 2 Madison 6M (64-bit)410,000,0002003Intel130 nm374 mm21,096,000
PlayStation 2 single chip (CPU + GPU)53,500,000url=https://playstationdev.wiki/ps2devwiki/EE%2BGStitle=EE+GSwebsite=PS2 Dev Wiki2003date=2003-11-27title=Sony MARKETING (JAPAN) ANNOUNCES LAUNCH OF "PSX" DESR-5000 and DESR-7000 TOWARDS THE END OF 2003url=https://www.sony.com/en/SonyInfo/News/Press_Archive/200310/03-1007E/publisher=SonySony, Toshiba90 nmtitle=EMOTION ENGINE AND GRAPHICS SYNTHESIZER USED IN THE CORE OF PLAYSTATION BECOME ONE CHIPurl=https://www.sie.com/content/dam/corporate/en/corporate/release/pdf/030421be.pdf
Pentium 4 Prescott (32-bit, large cache)112,000,0002004Intel90 nm110 mm21,018,000
Pentium M Dothan (32-bit)144,000,0002004Intel90 nm87 mm21,655,000
SPARC64 V+ (64-bit, large cache)400,000,0002004Fujitsu90 nm294 mm21,360,000
Itanium 2 (64-bit;9 MB cache)592,000,0002004Intel130 nm432 mm21,370,000
Pentium 4 Prescott-2M (32-bit, large cache)169,000,0002005Intel90 nm143 mm21,182,000
Pentium D Smithfield (64-bit, large cache)228,000,0002005Intel90 nm206 mm21,107,000
Xenon (64-bit, 128-bit SIMD, large cache)165,000,0002005IBM90 nm
Cell (32-bit, cache)250,000,0002005Sony, IBM, Toshiba90 nm221 mm21,131,000
Pentium 4 Cedar Mill (32-bit, large cache)184,000,0002006Intel65 nm90 mm22,044,000
Core 2 Quad Kenfield (64-bit)582,000,0002006Intel65 nm --
Pentium D Presler (64-bit, large cache)362,000,0002006Intel65 nm162 mm22,235,000
Core 2 Duo Conroe (dual-core 64-bit, large caches)291,000,0002006Intel65 nm143 mm22,035,000
Dual-core Itanium 2 (64-bit, SIMD, large caches)1,700,000,0002006Intel90 nm596 mm22,852,000
AMD K10 quad-core 2M L3 (64-bit, large caches)first=Bertlast=Toepelturl=http://www.tomshardware.com/reviews/phenom-ii-940,2114.htmltitle=AMD Phenom II X4: 45nm Benchmarked — The Phenom II And AMD's Dragon Platformpublisher=TomsHardware.comdate=2009-01-08access-date=2014-08-09}}2007AMD65 nm283 mm21,636,000
ARM Cortex-A9 (32-bit, (optional) SIMD, caches)26,000,0002007ARM45 nm31 mm2839,000
Core 2 Duo Wolfdale (dual-core 64-bit, SIMD, caches)411,000,0002007Intel45 nm107 mm23,841,000
POWER6 (64-bit, large caches)789,000,0002007IBM65 nm341 mm22,314,000
Core 2 Duo Allendale (dual-core 64-bit, SIMD, large caches)169,000,0002007Intel65 nm111 mm21,523,000
Uniphiertitle=Panasonic starts to sell a New-generation UniPhier System LSIurl=http://panasonic.co.jp/corp/news/official.data/data.dir/en071010-3/en071010-3.htmlaccess-date=2 July 2019publisher=Panasonicdate=October 10, 2007}}2007Matsushita45 nm
SPARC64 VI (64-bit, SIMD, large caches)540,000,0002007Fujitsu90 nm421 mm21,283,000
Core 2 Duo Wolfdale 3M (dual-core 64-bit, SIMD, large caches)230,000,0002008Intel45 nm83 mm22,771,000
Core i7 (quad-core 64-bit, SIMD, large caches)731,000,0002008Intel45 nm263 mm22,779,000
AMD K10 quad-core 6M L3 (64-bit, SIMD, large caches)758,000,0002008AMD45 nm258 mm22,938,000
Atom (32-bit, large cache)47,000,0002008Intel45 nm24 mm21,958,000
SPARC64 VII (64-bit, SIMD, large caches)600,000,0002008Fujitsu65 nm445 mm21,348,000
Six-core Xeon 7400 (64-bit, SIMD, large caches)1,900,000,0002008Intel45 nm503 mm23,777,000
Six-core Opteron 2400 (64-bit, SIMD, large caches)904,000,0002009AMD45 nm346 mm22,613,000
SPARC64 VIIIfx (64-bit, SIMD, large caches)760,000,0002009Fujitsu45 nm513 mm21,481,000
Atom (Pineview) 64-bit, 1-core, 512 kB L2 cache123,000,000{{cite weburl=https://ark.intel.com/content/www/us/en/ark/products/42503/intel-atom-processor-n450-512k-cache-1-66-ghz.htmltitle=Intel Atom N450 specificationswebsite=Intelaccess-date=2023-06-082010Intel45 nm66 mm21,864,000
Atom (Pineview) 64-bit, 2-core, 1 MB L2 cache176,000,000{{cite weburl=https://ark.intel.com/content/www/us/en/ark/products/43098/intel-atom-processor-d510-1m-cache-1-66-ghz.htmltitle=Intel Atom D510 specificationswebsite=Intelaccess-date=2023-06-082010Intel45 nm87 mm22,023,000
SPARC T3 (16-core 64-bit, SIMD, large caches)1,000,000,0002010Sun/Oracle40 nm377 mm22,653,000
Six-core Core i7 (Gulftown)1,170,000,0002010Intel32 nm240 mm24,875,000
POWER7 32M L3 (8-core 64-bit, SIMD, large caches)1,200,000,0002010IBM45 nm567 mm22,116,000
Quad-core z196 (64-bit, very large caches)1,400,000,0002010IBM45 nm512 mm22,734,000
Quad-core Itanium Tukwila (64-bit, SIMD, large caches)2,000,000,0002010Intel65 nm699 mm22,861,00012-core Opteron 61001,810,000,0002010AMD45 nm692 mm2 --
Xeon Nehalem-EX (8-core 64-bit, SIMD, large caches)2,300,000,0002010Intel45 nm684 mm23,363,000
SPARC64 IXfx (64-bit, SIMD, large caches)url = https://www.theregister.co.uk/2011/11/21/fujitsu_sparc64_ixfx_fx10_detailstitle = Fujitsu parades 16-core Sparc64 super stunnerfirst = Timothy Prickettlast = Morgandate = November 21, 2011work = The Registeraccess-date = December 8, 2011}}2011Fujitsu40 nm484 mm23,864,000
Quad-core + GPU Core i7 (64-bit, SIMD, large caches)1,160,000,0002011Intel32 nm216 mm25,370,000
Six-core Core i7/8-core Xeon E5
(Sandy Bridge-E/EP) (64-bit, SIMD, large caches)2,270,000,0002011Intel32 nm434 mm25,230,000
Xeon Westmere-EX (10-core 64-bit, SIMD, large caches)2,600,000,0002011Intel32 nm512 mm25,078,000
Atom "Medfield" (64-bit)432,000,0002012Intel32 nm64 mm26,750,000
SPARC64 X (64-bit, SIMD, caches)2,990,000,0002012Fujitsu28 nm600 mm24,983,000
AMD Bulldozer (8-core 64-bit, SIMD, caches)1,200,000,000{{cite weburl=http://www.anandtech.com/showdoc.aspx?i=3276&p=9archive-url=https://web.archive.org/web/20090122105244/http://www.anandtech.com/showdoc.aspx?i=3276&p=9url-status=deadarchive-date=January 22, 2009title=Intel's Atom Architecture: The Journey Beginspublisher=AnandTechaccess-date=April 4, 20102012AMD32 nm315 mm23,810,000
Quad-core + GPU AMD Trinity (64-bit, SIMD, caches)1,303,000,0002012AMD32 nm246 mm25,297,000
Quad-core + GPU Core i7 Ivy Bridge (64-bit, SIMD, caches)1,400,000,0002012Intel22 nm160 mm28,750,000
POWER7+ (8-core 64-bit, SIMD, 80 MB L3 cache)2,100,000,0002012IBM32 nm567 mm23,704,000
Six-core zEC12 (64-bit, SIMD, large caches)2,750,000,0002012IBM32 nm597 mm24,606,000
Itanium Poulson (8-core 64-bit, SIMD, caches)3,100,000,0002012Intel32 nm544 mm25,699,000
Xeon Phi (61-core 32-bit, 512-bit SIMD, caches)5,000,000,0002012Intel22 nm720 mm26,944,000
Apple A7 (dual-core 64/32-bit ARM64, "mobile SoC", SIMD, caches)1,000,000,0002013Apple28 nm102 mm29,804,000
Six-core Core i7 Ivy Bridge E (64-bit, SIMD, caches)1,860,000,0002013Intel22 nm256 mm27,266,000
POWER8 (12-core 64-bit, SIMD, caches)4,200,000,0002013IBM22 nm650 mm26,462,000
Xbox One main SoC (64-bit, SIMD, caches)5,000,000,0002013Microsoft, AMD28 nm363 mm213,770,000
Quad-core + GPU Core i7 Haswell (64-bit, SIMD, caches)last1=Shimpifirst1=Laltitle=The Haswell Review: Intel Core i7-4770K & i5-4670K Testedurl=http://www.anandtech.com/show/7003/the-haswell-review-intel-core-i74770k-i54560k-tested/5archive-url=https://web.archive.org/web/20130607024813/http://www.anandtech.com/show/7003/the-haswell-review-intel-core-i74770k-i54560k-tested/5url-status=deadarchive-date=June 7, 2013website=anandtechaccess-date=20 November 2014}}2014Intel22 nm177 mm27,910,000
Apple A8 (dual-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)2,000,000,0002014Apple20 nm89 mm222,470,000
Core i7 Haswell-E (8-core 64-bit, SIMD, caches)2,600,000,0002014Intel22 nm355 mm27,324,000
Apple A8X (tri-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)3,000,000,0002014Apple20 nm128 mm223,440,000
Xeon Ivy Bridge-EX (15-core 64-bit, SIMD, caches)4,310,000,0002014Intel22 nm541 mm27,967,000
Xeon Haswell-E5 (18-core 64-bit, SIMD, caches)title=Intel Xeon E5-2600 v3 Processor Overview: Haswell-EP Up to 18 Coresurl=http://www.pcper.com/reviews/Processors/Intel-Xeon-E5-2600-v3-Processor-Overview-Haswell-EP-18-Cores/5website=pcperdate=September 8, 2014access-date=29 January 2015}}2014Intel22 nm661 mm28,411,000
Quad-core + GPU GT2 Core i7 Skylake K (64-bit, SIMD, caches)1,750,000,0002015Intel14 nm122 mm214,340,000
Dual-core + GPU Iris Core i7 Broadwell-U (64-bit, SIMD, caches)title=Intel's Broadwell-U arrives aboard 15W, 28W mobile processorsdate=January 5, 2015url=http://techreport.com/news/27557/intel-broadwell-u-arrives-aboard-15w-28w-mobile-processorsaccess-date=5 January 2015publisher=TechReport}}2015Intel14 nm133 mm214,290,000
Apple A9 (dual-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)2,000,000,000+2015Apple14 nm
(Samsung)96 mm2
(Samsung)20,800,000+
16 nm
(TSMC)104.5 mm2
(TSMC)19,100,000+
Apple A9X (dual core 64/32-bit ARM64 "mobile SoC", SIMD, caches)3,000,000,000+2015Apple16 nm143.9 mm220,800,000+
IBM z13 (64-bit, caches)3,990,000,0002015IBM22 nm678 mm25,885,000
IBM z13 Storage Controller7,100,000,0002015IBM22 nm678 mm210,472,000
SPARC M7 (32-core 64-bit, SIMD, caches)10,000,000,0002015Oracle20 nm
Core i7 Broadwell-E (10-core 64-bit, SIMD, caches)3,200,000,0002016Intel14 nm246 mm213,010,000
Apple A10 Fusion (quad-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)3,300,000,0002016Apple16 nm125 mm226,400,000
HiSilicon Kirin 960 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)4,000,000,0002016Huawei16 nm110.00 mm236,360,000
Xeon Broadwell-E5 (22-core 64-bit, SIMD, caches)7,200,000,0002016Intel14 nm456 mm215,790,000
Xeon Phi (72-core 64-bit, 512-bit SIMD, caches)8,000,000,0002016Intel14 nm683 mm211,710,000
Zip CPU (32-bit, for FPGAs)1,286 6-LUTs2016Gisselquist Technology
Qualcomm Snapdragon 835 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)3,000,000,0002016Qualcomm10 nm72.3 mm241,490,000
Apple A11 Bionic (hexa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)4,300,000,0002017Apple10 nm89.23 mm248,190,000
AMD Zen CCX (core complex unit: 4 cores, 8 MB L3 cache)1,400,000,000{{Cite conferencefirst=Tejalast=Singhbook-title=Proc. IEEE International Solid-State Circuits Conferencetitle=3.2 Zen: A Next-Generation High-Performance x86 Corepages=52–54date=2017}}2017AMD14 nm
(GF 14LPP)44 mm231,800,000
AMD Zeppelin SoC Ryzen (64-bit, SIMD, caches)last1=Cutressfirst1=Iantitle=AMD Launches Zenurl=http://www.anandtech.com/show/11143/amd-launch-ryzen-52-more-ipc-eight-cores-for-under-330-preorder-today-on-sale-march-2ndarchive-url=https://web.archive.org/web/20170222153341/http://www.anandtech.com/show/11143/amd-launch-ryzen-52-more-ipc-eight-cores-for-under-330-preorder-today-on-sale-march-2ndurl-status=deadarchive-date=February 22, 2017access-date=22 February 2017publisher=Anandtech.comdate=22 February 2017}}2017AMD14 nm192 mm225,000,000
AMD Ryzen 5 1600 Ryzen (64-bit, SIMD, caches)4,800,000,0002017AMD14 nm213 mm222,530,000
IBM z14 (64-bit, SIMD, caches)6,100,000,0002017IBM14 nm696 mm28,764,000
IBM z14 Storage Controller (64-bit)9,700,000,0002017IBM14 nm696 mm213,940,000
HiSilicon Kirin 970 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)5,500,000,0002017Huawei10 nm96.72 mm256,900,000
Xbox One X (Project Scorpio) main SoC (64-bit, SIMD, caches)7,000,000,0002017Microsoft, AMD16 nmurl=http://www.eurogamer.net/articles/digitalfoundry-2017-project-scorpio-tech-revealedtitle=Inside the next Xbox: Project Scorpio tech revealedlast=Leadbetterfirst=Richarddate=2017-04-06website=Eurogameraccess-date=2017-05-03}}19,440,000
Xeon Platinum 8180 (28-core 64-bit, SIMD, caches)8,000,000,0002017Intel14 nm
Xeon (unspecified)7,100,000,000{{Cite webfirst=Stefanolast=Pelleranourl=https://youtube.com/watch?v=pFQj6L4eKc0title=Circuit Design to Harness the Power of Scaling and Integration (ISSCC 2022)website=YouTubedate=2022-03-02}}2017Intel14 nm672 mm210,570,000
POWER9 (64-bit, SIMD, caches)8,000,000,0002017IBM14 nm695 mm211,500,000
Freedom U500 Base Platform Chip (E51, 4×U54) RISC-V (64-bit, caches)250,000,0002017SiFive28 nm~30 mm28,330,000
SPARC64 XII (12-core 64-bit, SIMD, caches)5,450,000,0002017Fujitsu20 nm795 mm26,850,000
Apple A10X Fusion (hexa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)4,300,000,0002017Apple10 nm96.40 mm244,600,000
Centriq 2400 (64/32-bit, SIMD, caches)18,000,000,0002017Qualcomm10 nm398 mm245,200,000
AMD Epyc (32-core 64-bit, SIMD, caches)19,200,000,0002017AMD14 nm768 mm225,000,000
Qualcomm Snapdragon 845 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)5,300,000,0002017Qualcomm10 nm94 mm256,400,000
Qualcomm Snapdragon 850 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)5,300,000,0002017Qualcomm10 nm94 mm256,400,000
HiSilicon Kirin 710 (octa-core ARM64 "mobile SoC", SIMD, caches)5,500,000,0002018Huawei12 nm
Apple A12 Bionic (hexa-core ARM64 "mobile SoC", SIMD, caches)last1=Yangfirst1=Daniellast2=Wegnerfirst2=Stacyurl=http://www.techinsights.com/about-techinsights/overview/blog/apple-iphone-xs-teardown/title=Apple iPhone Xs Max Teardownpublisher=TechInsightsdate=September 21, 2018access-date=September 21, 2018}}2018Apple7 nm83.27 mm282,900,000
HiSilicon Kirin 980 (octa-core ARM64 "mobile SoC", SIMD, caches)6,900,000,0002018Huawei7 nm74.13 mm293,100,000
Qualcomm Snapdragon 8cx / SCX8180 (octa-core ARM64 "mobile SoC", SIMD, caches)8,500,000,0002018Qualcomm7 nm112 mm275,900,000
Apple A12X Bionic (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)10,000,000,0002018Apple7 nm122 mm282,000,000
Fujitsu A64FX (64/32-bit, SIMD, caches)8,786,000,0002018Fujitsu7 nm
Tegra Xavier SoC (64/32-bit)9,000,000,0002018Nvidia12 nm350 mm225,700,000
Qualcomm Snapdragon 855 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)6,700,000,0002018Qualcomm7 nm73 mm291,800,000
AMD Zen 2 core (0.5 MB L2 + 4 MB L3 cache)475,000,0002019AMD7 nm7.83 mm260,664,000
AMD Zen 2 CCX (core complex: 4 cores, 16 MB L3 cache)1,900,000,000{{cite weburl=https://en.wikichip.org/wiki/amd/microarchitectures/zen_2title=Zen 2 Microarchitecturewebsite=WikiChipaccess-date=2023-02-21}}2019AMD7 nm31.32 mm260,664,000
AMD Zen 2 CCD (core complex die: 8 cores, 32 MB L3 cache)3,800,000,0002019AMD7 nm74 mm251,350,000
AMD Zen 2 client I/O die2,090,000,0002019AMD12 nm125 mm216,720,000
AMD Zen 2 server I/O die8,340,000,0002019AMD12 nm416 mm220,050,000
AMD Zen 2 Renoir die9,800,000,0002019AMD7 nm156 mm262,820,000
AMD Ryzen 7 3700X (64-bit, SIMD, caches, I/O die)5,990,000,0002019AMD7 & 12 nm
(TSMC)199
(74+125) mm230,100,000
HiSilicon Kirin 990 4G8,000,000,0002019Huawei7 nm90.00 mm289,000,000
Apple A13 (hexa-core 64-bit ARM64 "mobile SoC", SIMD, caches)8,500,000,000
2019Apple7 nm98.48 mm286,300,000
IBM z15 CP chip (12 cores, 256 MB L3 cache)9,200,000,0002019IBM14 nm696 mm213,220,000
IBM z15 SC chip (960 MB L4 cache)12,200,000,0002019IBM14 nm696 mm217,530,000
AMD Ryzen 9 3900X (64-bit, SIMD, caches, I/O die)title=AMD's 64-Core EPYC and Ryzen CPUs Stripped: A Detailed Inside Lookurl=https://www.tomshardware.com/news/amd-64-core-epyc-cpu-die-design-architecture-ryzen-3000last=Broekhuijsenfirst=Nielsdate=23 October 2019access-date=24 October 2019}}2019AMD7 & 12 nm
(TSMC)273 mm236,230,000
HiSilicon Kirin 990 5G10,300,000,0002019Huawei7 nm113.31 mm290,900,000
AWS Graviton2 (64-bit, 64-core ARM-based, SIMD, caches)30,000,000,0002019Amazon7 nm
AMD Epyc Rome (64-bit, SIMD, caches)39,540,000,000
2019AMD7 & 12 nm
(TSMC)1,008 mm239,226,000
Qualcomm Snapdragon 865 (octa-core 64/32-bit ARM64 "mobile SoC", SIMD, caches)10,300,000,0002019Qualcomm7 nm83.54 mm2123,300,000
TI Jacinto TDA4VM (ARM A72, DSP, SRAM)3,500,000,0002020Texas Instruments16 nm
Apple A14 Bionic (hexa-core 64-bit ARM64 "mobile SoC", SIMD, caches)11,800,000,0002020Apple5 nm88 mm2134,100,000
Apple M1 (octa-core 64-bit ARM64 SoC, SIMD, caches)16,000,000,0002020Apple5 nm119 mm2134,500,000
HiSilicon Kirin 900015,300,000,000
2020Huawei5 nm114 mm2134,200,000
AMD Zen 3 CCX (core complex unit: 8 cores, 32 MB L3 cache)4,080,000,000{{Cite conferencefirst=Thomaslast=Burdbook-title=Proc. IEEE International Solid-State Circuits Conferencetitle=2.7 Zen3: The AMD 2nd-Generation 7nm x86-64 Microprocessor Corepages=54–56date=2022}}2020AMD7 nm68 mm260,000,000
AMD Zen 3 CCD (core complex die)4,150,000,0002020AMD7 nm81 mm251,230,000
Core 11th gen Rocket Lake (8-core 64-bit, SIMD, large caches)6,000,000,000+2021Intel14 nm +++ 14 nm276 mm237,500,000 or 21,800,000+
AMD Ryzen 7 5800H (64-bit, SIMD, caches, I/O and GPU)10,700,000,0002021AMD7 nm180 mm259,440,000
AMD Epyc 7763 (Milan) (64-core, 64-bit)?2021AMD7 & 12 nm
(TSMC)1,064 mm2
(8×81+416)
Apple A1515,000,000,000
2021Apple5 nm107.68 mm2139,300,000
Apple M1 Pro (10-core, 64-bit)33,700,000,0002021Apple5 nmtitle=Apple Announces M1 Pro & M1 Max: Giant New Arm SoCs with All-Out Performanceurl=https://www.anandtech.com/show/17019/apple-announced-m1-pro-m1-max-giant-new-socs-with-allout-performancearchive-url=https://web.archive.org/web/20211018202419/https://www.anandtech.com/show/17019/apple-announced-m1-pro-m1-max-giant-new-socs-with-allout-performanceurl-status=deadarchive-date=October 18, 2021access-date=2021-12-02website=AnanadTechlanguage=en}}137,600,000
Apple M1 Max (10-core, 64-bit)title=Apple unveils new computer chips amid shortageurl=https://www.bbc.com/news/technology-58917992work=BBC Newsdate=19 October 2021}}2021Apple5 nmtitle=Apple Joins 3D-Fabric Portfolio with M1 Ultra?url=https://www.techinsights.com/blog/apple-joins-3d-fabric-portfolio-m1-ultrawebsite=TechInsightsaccess-date=2022-07-08}}135,600,000
Power10 dual-chip module (30 SMT8 cores or 60 SMT4 cores)36,000,000,0002021IBM7 nm1,204 mm229,900,000
Dimensity 9000 (ARM64 SoC)15,300,000,000
{{cite weburl=https://www.mediatek.com/blog/phantom-x2-series-5g-powered-by-mediatek-dimensity-9000title=Phantom X2 Series 5G powered by MediaTek Dimensity 9000website=Mediatekdate=2022-12-12url=https://www.mediatek.com/products/smartphones-2/mediatek-dimensity-9000title=MediaTek Dimensity 9000website=Mediatekdate=2023-01-212021Mediatek[4 nm
(TSMC N4)](5-nm-process)
Apple A16 (ARM64 SoC)16,000,000,000
{{cite weburl=https://www.notebookcheck.net/Apple-A16-Bionic-announced-for-the-iPhone-14-Pro-and-iPhone-14-Pro-Max.647967.0.htmltitle=Apple A16 Bionic announced for the iPhone 14 Pro and iPhone 14 Pro Maxwebsite=NotebookCheckdate=2022-09-07url=https://www.cnet.com/tech/mobile/iphone-14-pro-and-pro-max-only-models-to-get-new-a16-chip/title=iPhone 14 Pro and Pro Max Only Models to Get New A16 Chipwebsite=CNETdate=2022-09-07url=https://www.anandtech.com/print/17563/the-apple-2022-fall-iphone-event-live-blog-10am-pt-1700-utcarchive-url=https://web.archive.org/web/20220908130723/https://www.anandtech.com/print/17563/the-apple-2022-fall-iphone-event-live-blog-10am-pt-1700-utcurl-status=deadarchive-date=September 8, 2022
Apple M1 Ultra (dual-chip module, 2×10 cores)title=Apple unveils M1 Ultra, the world's most powerful chip for a personal computerurl=https://www.apple.com/newsroom/2022/03/apple-unveils-m1-ultra-the-worlds-most-powerful-chip-for-a-personal-computer/website=Apple Newsroomaccess-date=9 March 2022}}2022Apple5 nm840.5 mm2135,600,000
AMD Epyc 7773X (Milan-X) (multi-chip module, 64 cores, 768 MB L3 cache)url=https://www.anandtech.com/print/17323/amd-releases-milan-x-cpus-with-3d-vcache-epyc-7003archive-url=https://web.archive.org/web/20220329091441/https://www.anandtech.com/print/17323/amd-releases-milan-x-cpus-with-3d-vcache-epyc-7003url-status=deadarchive-date=March 29, 2022title=AMD releases Milan-X CPUswebsite=AnandTechdate=2022-03-21}}2022AMD7 & 12 nm
(TSMC)1,352 mm2
(Milan + 8×36)
IBM Telum dual-chip module (2×8 cores, 2×256 MB cache)45,000,000,000
2022IBM7 nm (Samsung)1,060 mm242,450,000
Apple M2 (octa-core 64-bit ARM64 SoC, SIMD, caches)20,000,000,0002022Apple5 nm
Dimensity 9200 (ARM64 SoC)17,000,000,000
{{cite weburl=https://www.notebookcheck.net/MediaTek-Dimensity-9200-New-flagship-chipset-debuts-with-ARM-Cortex-X3-CPU-and-Immortalis-G715-GPU-cores-built-around-TSMC-N4P-node.667041.0.htmltitle=MediaTek Dimensity 9200: New flagship chipset debuts with ARM Cortex-X3 CPU and Immortalis-G715 GPU cores built around TSMC N4P nodewebsite=NotebookCheckdate=2022-11-08url=https://www.mediatek.com/products/smartphones-2/mediatek-dimensity-9200title=Dimensity 9200 specswebsite=Mediatekdate=2022-11-08url=https://i.mediatek.com/dimensity-9200title=Dimensity 9200 presentationwebsite=Mediatekdate=2022-11-08
Qualcomm Snapdragon 8 Gen 2 (octa-core ARM64 "mobile SoC", SIMD, caches)16,000,000,0002022Qualcomm4 nm268 mm259,701,492
AMD EPYC Genoa (4th gen/9004 series) 13-chip module (up to 96 cores and 384 MB (L3) + 96 MB (L2) cache){{cite weburl=https://www.servethehome.com/amd-epyc-genoa-gaps-intel-xeon-in-stunning-fashion/title=AMD EPYC Genoa Gaps Intel Xeon in Stunning Fashionwebsite=ServeTheHomedate=2022-11-1090,000,000,000
{{cite weburl=https://appuals.com/amd-zettaflop-plans/title=AMD Aims to Break the ZettaFLOP Barrier by 2035, Lays Down Next-Gen Plans to Resolve Efficiency Problemswebsite=Appualsdate=2023-02-21url=https://wccftech.com/amd-lays-the-path-to-zettascale-computing-talks-cpu-gpu-performance-plus-efficiency-trends-next-gen-chiplet-packaging-more/title=AMD Lays The Path To Zettascale Computing: Talks CPU & GPU Performance Plus Efficiency Trends, Next-Gen Chiplet Packaging & Morewebsite=WCCFtechdate=2023-02-20
HiSilicon Kirin 9000s9,510,000,0002023Huawei7 nm107 mm2107,690,000
Apple M4 (deca-core 64-bit ARM64 SoC, SIMD, caches)date=2024-05-07title=Apple Announces M4 SoC: Latest and Greatest Starts on 2024 iPad Prourl=https://www.anandtech.com/show/21387/apple-announces-m4-soc-latest-and-greatest-starts-on-ipad-pro/archive-url=https://web.archive.org/web/20240507182846/https://www.anandtech.com/show/21387/apple-announces-m4-soc-latest-and-greatest-starts-on-ipad-prourl-status=deadarchive-date=May 7, 2024website=Anandtech}}2024Apple3 nm
Apple M3 (octa-core 64-bit ARM64 SoC, SIMD, caches)date=2023-10-31title=Apple introduces new M3 chip lineup, starting with the M3, M3 Pro, and M3 Maxurl=https://arstechnica.com/gadgets/2023/10/everything-to-know-about-apples-new-m3-m3-pro-and-m3-max-processors/website=Arstechnica}}2023Apple3 nm
Apple M3 Pro (dodeca-core 64-bit ARM64 SoC, SIMD, caches)37,000,000,0002023Apple3 nm
Apple M3 Max (16-core 64-bit ARM64 SoC, SIMD, caches)92,000,000,0002023Apple3 nm
Apple A1719,000,000,000
2023Apple3 nm103.8 mm2183,044,315
Sapphire Rapids quad-chip module (up to 60 cores and 112.5 MB of cache){{cite weburl=https://www.servethehome.com/4th-gen-intel-xeon-scalable-sapphire-rapids-leaps-forward/title=4th Gen Intel Xeon Scalable Sapphire Rapids Leaps Forwardwebsite=ServeTheHomedate=2023-01-1044,000,000,000–
48,000,000,000{{cite weburl=https://www.hardwareluxx.de/index.php/news/hardware/prozessoren/58175-isscc-2022-wie-vier-dies-zu-einem-monolithischen-sapphire-rapids-werden.htmltitle=Wie vier Dies zu einem "monolithischen" Sapphire Rapids werdenwebsite=hardwareLUXXdate=2022-02-212023Intel10 nm ESF (Intel 7)1,600 mm2
Apple M2 Pro (12-core 64-bit ARM64 SoC, SIMD, caches)40,000,000,000{{cite press releaseurl=https://www.apple.com/newsroom/2023/01/apple-unveils-m2-pro-and-m2-max-next-generation-chips-for-next-level-workflows/title=Apple unveils M2 Pro and M2 Max: next-generation chips for next-level workflowswebsite=Appledate=2023-01-172023Apple5 nm
Apple M2 Max (12-core 64-bit ARM64 SoC, SIMD, caches)67,000,000,0002023Apple5 nm
Apple M2 Ultra (two M2 Max dies)134,000,000,000{{cite press releasedate=2023-06-05title=Apple introduces M2 Ultraurl=https://www.apple.com/newsroom/2023/06/apple-introduces-m2-ultra/publisher=Apple2023Apple5 nm
AMD Epyc Bergamo (4th gen/97X4 series) 9-chip module (up to 128 cores and 256 MB (L3) + 128 MB (L2) cache)82,000,000,000{{cite weburl=https://www.servethehome.com/amd-epyc-bergamo-launched-128-cores-per-socket-and-1024-threads-per-1u/title=AMD EPYC Bergamo Launched 128 Cores Per Socket and 1024 Threads Per 1Uwebsite=ServeTheHomedate=2023-06-132023AMD5 nm (CCD)
6 nm (IOD)
AMD Instinct MI300A (multi-chip module, 24 cores, 128 GB GPU memory + 256 MB (LLC/L3) cache)146,000,000,000{{cite weburl=https://www.amd.com/en/products/accelerators/instinct/mi300/mi300a.htmltitle=AMD Instinct MI300A Acceleratorswebsite=AMDaccess-date=January 14, 2024last=Alcornfirst=Paulurl=https://www.tomshardware.com/pc-components/cpus/amd-unveils-instinct-mi300x-gpu-and-mi300a-apu-claims-up-to-16x-lead-over-nvidias-competing-gpustitle=AMD unveils Instinct MI300X GPU and MI300A APU, claims up to 1.6X lead over Nvidia's competing GPUswebsite=Tom's Hardwaredate=December 6, 2023access-date=January 14, 20242023
RV32-WUJI: 3-atom-thick molybdenum disulfide on sapphire; RISC-V architecture593120253000 nm

GPUs

A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the building of images in a frame buffer intended for output to a display.

The designer refers to the technology company that designs the logic of the integrated circuit chip (such as Nvidia and AMD). The manufacturer ("Fab.") refers to the semiconductor company that fabricates the chip using its semiconductor manufacturing process at a foundry (such as TSMC and Samsung Semiconductor). The transistor count in a chip is dependent on a manufacturer's fabrication process, with smaller semiconductor nodes typically enabling higher transistor density and thus higher transistor counts.

The random-access memory (RAM) that comes with GPUs (such as VRAM, SGRAM or HBM) greatly increases the total transistor count, with the memory typically accounting for the majority of transistors in a graphics card. For example, Nvidia's Tesla P100 has 15billion FinFETs (16 nm) in the GPU in addition to 16GB of HBM2 memory, totaling about 150billion MOSFETs on the graphics card. The following table does not include the memory. For memory transistor counts, see the Memory section below.

ProcessorTransistor countYearDesigner(s)Fab(s)ProcessAreaTransistor
density
(tr./mm2)RefProcessorTransistor countYearDesigner(s)Fab(s)MOS processAreaTransistor
density
(tr./mm2)Ref
μPD7220 GDC40,0001982NECNEC5,000 nm
ARTC HD6348460,0001984HitachiHitachi
CBM Agnus21,0001985CommodoreCSG5,000 nm
YM7101 VDP100,0001988Yamaha, SegaYamahatitle=30 Years of Console Gamingurl=https://klingerphotography.com/wp/2017/08/20/30-years-console-gaming/website=Klinger Photographyaccess-date=19 June 2019date=20 August 2017}}
Tom & Jerry750,0001993FlareIBM
VDP11,000,0001994SegaHitachi500 nm
Sony GPU1,000,0001994ToshibaLSI500 nm
NV11,000,0001995Nvidia, SegaSGS500 nm90 mm211,000
Reality Coprocessor2,600,0001996SGINEC350 nm81 mm232,100title=Reality Co-Processor − The Power In Nintendo64url=http://www.hotchips.org/wp-content/uploads/hc_archives/hc09/3_Tue/HC9.S10/HC9.10.2.pdfpublisher=Silicon Graphicsdate=August 26, 1997access-date=18 June 2019archive-date=May 19, 2020archive-url=https://web.archive.org/web/20200519051320/http://www.hotchips.org/wp-content/uploads/hc_archives/hc09/3_Tue/HC9.S10/HC9.10.2.pdfurl-status=dead }}
PowerVR1,200,0001996VideoLogicNEC350 nm
Voodoo Graphics1,000,00019963dfxTSMC500 nmlast1=Lillyfirst1=Paultitle=From Voodoo to GeForce: The Awesome History of 3D Graphicsurl=https://www.pcgamer.com/from-voodoo-to-geforce-the-awesome-history-of-3d-graphics/magazine=PC Gameraccess-date=19 June 2019date=19 May 2009}}
Voodoo Rush1,000,00019973dfxTSMC500 nm
NV33,500,0001997NvidiaSGS, TSMC350 nm90 mm238,900
i7403,500,0001998Intel, Real3DReal3D350 nm
Voodoo 24,000,00019983dfxTSMC350 nm
Voodoo Rush4,000,00019983dfxTSMC350 nm
NV47,000,0001998NvidiaTSMC350 nm90 mm278,000
PowerVR2 CLX210,000,0001998VideoLogicNEC250 nm116 mm286,200title=Remembering the Sega Dreamcasturl=https://bit-tech.net/reviews/gaming/retro/remembering-the-sega-dreamcast/3/website=Bit-Techaccess-date=18 June 2019date=September 29, 2009}}
PowerVR2 PMX16,000,0001999VideoLogicNEC250 nm
Rage 1288,000,0001999ATITSMC, UMC250 nm70 mm2114,000
Voodoo 38,100,00019993dfxTSMC250 nm
Graphics Synthesizer43,000,0001999Sony, ToshibaSony, Toshiba180 nm279 mm2154,000title=EMOTION ENGINE AND GRAPHICS SYNTHESIZER USED IN THE CORE OF PLAYSTATION BECOME ONE CHIPurl=https://www.sie.com/content/dam/corporate/en/corporate/release/pdf/030421be.pdfaccess-date=26 June 2019publisher=Sonydate=April 21, 2003}}
NV515,000,0001999NvidiaTSMC250 nm90 mm2167,000
NV1017,000,0001999NvidiaTSMC220 nm111 mm2153,000
NV1120,000,0002000NvidiaTSMC180 nm65 mm2308,000
NV1525,000,0002000NvidiaTSMC180 nm81 mm2309,000
Voodoo 414,000,00020003dfxTSMC220 nm
Voodoo 528,000,00020003dfxTSMC220 nm
R10030,000,0002000ATITSMC180 nm97 mm2309,000
Flipper51,000,0002000ArtXNEC180 nm106 mm2481,000url=https://ign.com/articles/2000/11/04/gamecube-versus-playstation-2title=Gamecube Versus PlayStation 2author=IGN Staffdate=November 4, 2000work=IGNaccess-date=November 22, 2015}}
PowerVR3 KYRO14,000,0002001ImaginationST250 nm
PowerVR3 KYRO II15,000,0002001ImaginationST180 nm
NV2A60,000,0002001NvidiaTSMC150 nmtitle=NVIDIA NV2A GPU Specsurl=https://www.techpowerup.com/gpu-specs/nvidia-nv2a.g401website=TechPowerUpaccess-date=21 July 2019}}
NV2057,000,0002001NvidiaTSMC150 nm128 mm2445,000
NV2563,000,0002002NvidiaTSMC150 nm142 mm2444,000
NV2836,000,0002002NvidiaTSMC150 nm101 mm2356,000
NV17/1829,000,0002002NvidiaTSMC150 nm65 mm2446,000
R20060,000,0002001ATITSMC150 nm68 mm2882,000
R300107,000,0002002ATITSMC150 nm218 mm2490,800
R360117,000,0002003ATITSMC150 nm218 mm2536,700
NV3445,000,0002003NvidiaTSMC150 nm124 mm2363,000
NV34b45,000,0002004NvidiaTSMC140 nm91 mm2495,000
NV30125,000,0002003NvidiaTSMC130 nm199 mm2628,000
NV3180,000,0002003NvidiaTSMC130 nm121 mm2661,000
NV35/38135,000,0002003NvidiaTSMC130 nm207 mm2652,000
NV3682,000,0002003NvidiaIBM130 nm133 mm2617,000
R480160,000,0002004ATITSMC130 nm297 mm2538,700
NV40222,000,0002004NvidiaIBM130 nm305 mm2727,900
NV4475,000,0002004NvidiaIBM130 nm110 mm2681,800
NV41222,000,0002005NvidiaTSMC110 nm225 mm2986,700
NV42198,000,0002005NvidiaTSMC110 nm222 mm2891,900
NV43146,000,0002005NvidiaTSMC110 nm154 mm2948,100
G70303,000,0002005NvidiaTSMC, Chartered110 nm333 mm2909,900
Xenos232,000,0002005ATITSMC90 nm182 mm21,275,000
RSX Reality Synthesizer300,000,0002005Nvidia, SonySony90 nm186 mm21,613,000
R520321,000,0002005ATITSMC90 nm288 mm21,115,000
RV530157,000,0002005ATITSMC90 nm150 mm21,047,000
RV515107,000,0002005ATITSMC90 nm100 mm21,070,000
R580384,000,0002006ATITSMC90 nm352 mm21,091,000
G71278,000,0002006NvidiaTSMC90 nm196 mm21,418,000
G72112,000,0002006NvidiaTSMC90 nm81 mm21,383,000
G73177,000,0002006NvidiaTSMC90 nm125 mm21,416,000
G80681,000,0002006NvidiaTSMC90 nm480 mm21,419,000
G86 Tesla210,000,0002007NvidiaTSMC80 nm127 mm21,654,000
G84 Tesla289,000,0002007NvidiaTSMC80 nm169 mm21,710,000
RV560330,000,0002006ATITSMC80 nm230 mm21,435,000
R600700,000,0002007ATITSMC80 nm420 mm21,667,000
RV610180,000,0002007ATITSMC65 nm85 mm22,118,000
RV630390,000,0002007ATITSMC65 nm153 mm22,549,000
G92754,000,0002007NvidiaTSMC, UMC65 nm324 mm22,327,000
G94 Tesla505,000,0002008NvidiaTSMC65 nm240 mm22,104,000
G96 Tesla314,000,0002008NvidiaTSMC65 nm144 mm22,181,000
G98 Tesla210,000,0002008NvidiaTSMC65 nm86 mm22,442,000
GT2001,400,000,0002008NvidiaTSMC65 nm576 mm22,431,000
RV620181,000,0002008ATITSMC55 nm67 mm22,701,000
RV635378,000,0002008ATITSMC55 nm135 mm22,800,000
RV710242,000,0002008ATITSMC55 nm73 mm23,315,000
RV730514,000,0002008ATITSMC55 nm146 mm23,521,000
RV670666,000,0002008ATITSMC55 nm192 mm23,469,000
RV770956,000,0002008ATITSMC55 nm256 mm23,734,000
RV790959,000,0002008ATITSMC55 nm282 mm23,401,000
G92b Tesla754,000,0002008NvidiaTSMC, UMC55 nm260 mm22,900,000
G94b Tesla505,000,0002008NvidiaTSMC, UMC55 nm196 mm22,577,000
G96b Tesla314,000,0002008NvidiaTSMC, UMC55 nm121 mm22,595,000
GT200b Tesla1,400,000,0002008NvidiaTSMC, UMC55 nm470 mm22,979,000
GT218 Tesla260,000,0002009NvidiaTSMC40 nm57 mm24,561,000
GT216 Tesla486,000,0002009NvidiaTSMC40 nm100 mm24,860,000
GT215 Tesla727,000,0002009NvidiaTSMC40 nm144 mm25,049,000
RV740826,000,0002009ATITSMC40 nm137 mm26,029,000
Cypress RV8702,154,000,0002009ATITSMC40 nm334 mm26,449,000
Juniper RV8401,040,000,0002009ATITSMC40 nm166 mm26,265,000
Redwood RV830627,000,0002010AMD (ATI)TSMC40 nm104 mm26,029,000
Cedar RV810292,000,0002010AMDTSMC40 nm59 mm24,949,000
Cayman RV9702,640,000,0002010AMDTSMC40 nm389 mm26,789,000
Barts RV9401,700,000,0002010AMDTSMC40 nm255 mm26,667,000
Turks RV930716,000,0002011AMDTSMC40 nm118 mm26,068,000
Caicos RV910370,000,0002011AMDTSMC40 nm67 mm25,522,000
GF100 Fermi3,200,000,0002010NvidiaTSMC40 nm526 mm26,084,000last=Glaskowskyfirst=Peterurl=http://news.cnet.com/8301-13512_3-10369441-23.htmlarchive-url=https://web.archive.org/web/20120127213001/http://news.cnet.com/8301-13512_3-10369441-23.htmlurl-status=deadarchive-date=2012-01-27title=ATI and Nvidia face off-obliquelypublisher= CNETaccess-date=2014-08-09}}
GF110 Fermi3,000,000,0002010NvidiaTSMC40 nm520 mm25,769,000
GF104 Fermi1,950,000,0002011NvidiaTSMC40 nm332 mm25,873,000
GF106 Fermi1,170,000,0002010NvidiaTSMC40 nm238 mm24,916,000
GF108 Fermi585,000,0002011NvidiaTSMC40 nm116 mm25,043,000
GF119 Fermi292,000,0002011NvidiaTSMC40 nm79 mm23,696,000
Tahiti GCN14,312,711,8732011AMDTSMC28 nm365 mm211,820,000
Cape Verde GCN11,500,000,0002012AMDTSMC28 nm123 mm212,200,000
Pitcairn GCN12,800,000,0002012AMDTSMC28 nm212 mm213,210,000
GK110 Kepler7,080,000,0002012NvidiaTSMC28 nm561 mm212,620,000title=NVIDIA Kepler GK110 Architectureurl=https://staff.cs.manchester.ac.uk/~fumie/internal/KeplerArchitecture.pdfpublisher=NVIDIAdate=2012access-date=9 January 2024}}
GK104 Kepler3,540,000,0002012NvidiaTSMC28 nm294 mm212,040,000
GK106 Kepler2,540,000,0002012NvidiaTSMC28 nm221 mm211,490,000
GK107 Kepler1,270,000,0002012NvidiaTSMC28 nm118 mm210,760,000
GK208 Kepler1,020,000,0002013NvidiaTSMC28 nm79 mm212,910,000
Oland GCN11,040,000,0002013AMDTSMC28 nm90 mm211,560,000
Bonaire GCN22,080,000,0002013AMDTSMC28 nm160 mm213,000,000
Durango (Xbox One)4,800,000,0002013AMDTSMC28 nm375 mm212,800,000last1=Kanfirst1=Michaeltitle=Xbox Series X May Give Your Wallet a Workout Due to High Chip Manufacturing Costsurl=https://uk.pcmag.com/video-game-consoles/128235/xbox-series-x-may-give-your-wallet-a-workout-due-to-high-chip-manufacturing-costsaccess-date=5 September 2020work=PCMagdate=18 August 2020}}
Liverpool (PlayStation 4)2013AMDTSMC28 nm348 mm2
Hawaii GCN26,300,000,0002013AMDTSMC28 nm438 mm214,380,000
GM200 Maxwell8,000,000,0002015NvidiaTSMC28 nm601 mm213,310,000
GM204 Maxwell5,200,000,0002014NvidiaTSMC28 nm398 mm213,070,000
GM206 Maxwell2,940,000,0002014NvidiaTSMC28 nm228 mm212,890,000
GM107 Maxwell1,870,000,0002014NvidiaTSMC28 nm148 mm212,640,000
Tonga GCN35,000,000,0002014AMDTSMC, GlobalFoundries28 nm366 mm213,660,000
Fiji GCN38,900,000,0002015AMDTSMC28 nm596 mm214,930,000
Durango 2 (Xbox One S)5,000,000,0002016AMDTSMC16 nm240 mm220,830,000
Neo (PlayStation 4 Pro)5,700,000,0002016AMDTSMC16 nm325 mm217,540,000
Ellesmere/Polaris 10 GCN45,700,000,0002016AMDSamsung, GlobalFoundries14 nm232 mm224,570,000
Baffin/Polaris 11 GCN43,000,000,0002016AMDSamsung, GlobalFoundries14 nm123 mm224,390,000
Lexa/Polaris 12 GCN42,200,000,0002017AMDSamsung, GlobalFoundries14 nm101 mm221,780,000
GP100 Pascal15,300,000,0002016NvidiaTSMC, Samsung16 nm610 mm225,080,000
GP102 Pascal11,800,000,0002016NvidiaTSMC, Samsung16 nm471 mm225,050,000url=https://www.techpowerup.com/gpu-specs/?architecture=Pascal&sort=generationtitle=GPU Database: Pascalwebsite=TechPowerUpdate=July 26, 2023 }}
GP104 Pascal7,200,000,0002016NvidiaTSMC16 nm314 mm222,930,000
GP106 Pascal4,400,000,0002016NvidiaTSMC16 nm200 mm222,000,000
GP107 Pascal3,300,000,0002016NvidiaSamsung14 nm132 mm225,000,000
GP108 Pascal1,850,000,0002017NvidiaSamsung14 nm74 mm225,000,000
Scorpio (Xbox One X)6,600,000,0002017AMDTSMC16 nm367 mm217,980,000url=https://www.techpowerup.com/gpu-specs/xbox-one-x-gpu.c2977title=AMD Xbox One X GPUwebsite=www.techpowerup.comaccess-date=2020-02-05}}
Vega 10 GCN512,500,000,0002017AMDSamsung, GlobalFoundries14 nm484 mm225,830,000
GV100 Volta21,100,000,0002017NvidiaTSMC12 nm815 mm225,890,000url=https://devblogs.nvidia.com/parallelforall/inside-volta/title=Inside Volta: The World's Most Advanced Data Center GPUfirst1=Lukelast1=Durantfirst2=Olivierlast2=Girouxfirst3=Marklast3=Harrisfirst4=Nicklast4=Stamdate=May 10, 2017website=Nvidia developer blog}}
TU102 Turing18,600,000,0002018NvidiaTSMC12 nm754 mm224,670,000
TU104 Turing13,600,000,0002018NvidiaTSMC12 nm545 mm224,950,000
TU106 Turing10,800,000,0002018NvidiaTSMC12 nm445 mm224,270,000
TU116 Turing6,600,000,0002019NvidiaTSMC12 nm284 mm223,240,000
TU117 Turing4,700,000,0002019NvidiaTSMC12 nm200 mm223,500,000
Vega 20 GCN513,230,000,0002018AMDTSMC7 nm331 mm239,970,000
Navi 10 RDNA10,300,000,0002019AMDTSMC7 nm251 mm241,040,000
Navi 12 RDNA2020AMDTSMC7 nm
Navi 14 RDNA6,400,000,0002019AMDTSMC7 nm158 mm240,510,000
Arcturus CDNA25,600,000,0002020AMDTSMC7 nm750 mm234,100,000
GA100 Ampere54,200,000,0002020NvidiaTSMC7 nm826 mm265,620,000url=https://www.tomshardware.com/news/nvidia-ampere-A100-gpu-7nmtitle=Nvidia Unveils Its Next-Generation 7nm Ampere A100 GPU for Data Centers, and It's Absolutely Massivefirst=Jaredlast=Waltondate=May 14, 2020work=Tom's Hardware}}
GA102 Ampere28,300,000,0002020NvidiaSamsung8 nm628 mm245,035,000
GA103 Ampere22,000,000,0002022NvidiaSamsung8 nm496 mm244,400,000
GA104 Ampere17,400,000,0002020NvidiaSamsung8 nm392 mm244,390,000
GA106 Ampere12,000,000,0002021NvidiaSamsung8 nm276 mm243,480,000url=https://www.techpowerup.com/gpu-specs/nvidia-ga106.g966title=NVIDIA GA106 specswebsite=TechPowerUpaccess-date=2023-03-22
GA107 Ampere8,700,000,0002021NvidiaSamsung8 nm200 mm243,500,000
Navi 21 RDNA226,800,000,0002020AMDTSMC7 nm520 mm251,540,000
Navi 22 RDNA217,200,000,0002021AMDTSMC7 nm335 mm251,340,000
Navi 23 RDNA211,060,000,0002021AMDTSMC7 nm237 mm246,670,000
Navi 24 RDNA25,400,000,0002022AMDTSMC6 nm107 mm250,470,000
Aldebaran CDNA258,200,000,000 (MCM)2021AMDTSMC6 nm1448–1474 mm2
1480 mm239,500,000–40,200,000
39,200,000
36,800,000–39,100,000
GH100 Hopper80,000,000,0002022NvidiaTSMC4 nm814 mm298,280,000
AD102 Ada Lovelace76,300,000,0002022NvidiaTSMC4 nm608.4 mm2125,411,000
AD103 Ada Lovelace45,900,000,0002022NvidiaTSMC4 nm378.6 mm2121,240,000title=NVIDIA confirms Ada 102/103/104 GPU specs, AD104 has more transistors than GA102url=https://videocardz.com/newz/nvidia-confirms-ada-102-103-104-gpu-specs-ad104-has-more-transistors-than-ga102website=VideoCardzdate=2022-09-23}}
AD104 Ada Lovelace35,800,000,0002022NvidiaTSMC4 nm294.5 mm2121,560,000
AD106 Ada Lovelace2023NvidiaTSMC4 nm190 mm2{{cite weburl=https://www.tomshardware.com/news/nvidia-ad106-and-ad107-gpus-picturedtitle=Alleged Nvidia AD106 and AD107 GPU Pics, Specs, Die Sizes Revealedwebsite=Tom's Hardwaredate=2023-02-03url=https://wccftech.com/nvidia-geforce-rtx-4060-ti-ad106-350-gpu-pictured-uses-samsung-gddr6-dies/title=NVIDIA GeForce RTX 4060 Ti "AD106-350" GPU Pictured, Uses Samsung GDDR6 Dieswebsite=WCCFtechdate=2023-04-28
AD107 Ada Lovelace2023NvidiaTSMC4 nm146 mm2{{cite weburl=https://wccftech.com/nvidias-smallest-ada-gpu-the-ad107-400-for-geforce-rtx-4060-gpus-pictured/title=NVIDIA's Smallest Ada GPU, The AD107-400, For GeForce RTX 4060 GPUs Picturedwebsite=WCCFtechdate=2023-05-21
Navi 31 RDNA357,700,000,000 (MCM)
45,400,000,000 (GCD)
6×2,050,000,000 (MCD)2022AMDTSMC5 nm (GCD)
6 nm (MCD)531 mm2 (MCM)
306 mm2 (GCD)
6×37.5 mm2 (MCD)109,200,000 (MCM)
132,400,000 (GCD)
54,640,000 (MCD)
Navi 32 RDNA328,100,000,000 (MCM)2023AMDTSMC5 nm (GCD)
6 nm (MCD)350 mm2 (MCM)
200 mm2 (GCD)
4×37.5 mm2 (MCD)80,200,000 (MCM)
Navi 33 RDNA313,300,000,0002023AMDTSMC6 nm204 mm265,200,000
Aqua Vanjaram CDNA3153,000,000,000 (MCM)2023AMDTSMC5 nm (GCD)
6 nm (MCD)
GB200 Grace Blackwell208,000,000,000 (MCM)2024NvidiaTSMC4 nm
GB202 Blackwell92,200,000,0002025NvidiaTSMC4 nm750 mm2122,600,000
GB203 Blackwell45,600,000,0002025NvidiaTSMC4 nm378 mm2120,600,000
GB205 Blackwell31,100,000,0002025NvidiaTSMC4 nm263 mm2118,300,000
GB206 Blackwell21,900,000,0002025NvidiaTSMC4 nm181 mm2121,000,000
GB207 Blackwell16,900,000,0002025NvidiaTSMC4 nm149 mm2113,400,000
Navi 44 RDNA429,700,000,0002025AMDTSMC4 nm199 mm2149,200,000
Navi 48 RDNA453,900,000,0002025AMDTSMC4 nm357 mm2151,000,000

FPGA

A field-programmable gate array (FPGA) is an integrated circuit designed to be configured by a customer or a designer after manufacturing.

FPGATransistor countDate of introductionDesignerManufacturerProcessAreaTransistor density, tr./mm2Ref
Virtex70,000,0001997Xilinx
Virtex-E200,000,0001998Xilinx
Virtex-II350,000,0002000Xilinx130 nm
Virtex-II PRO430,000,0002002Xilinx
Virtex-41,000,000,0002004Xilinx90 nm
Virtex-51,100,000,0002006XilinxTSMC65 nm
Stratix IV2,500,000,0002008AlteraTSMC40 nm
Stratix V3,800,000,0002011AlteraTSMC28 nm
Arria 105,300,000,0002014AlteraTSMC20 nm
Virtex-7 2000T6,800,000,0002011XilinxTSMC28 nm
Stratix 10 SX 280017,000,000,000TBDIntelIntel14 nm560 mm230,400,000
Virtex-Ultrascale VU44020,000,000,000Q1 2015XilinxTSMC20 nm
Virtex-Ultrascale+ VU19P35,000,000,0002020XilinxTSMC16 nm900 mm238,900,000
Versal VC190237,000,000,0002H 2019XilinxTSMC7 nm
Stratix 10 GX 10M43,300,000,000Q4 2019IntelIntel14 nm1,400 mm230,930,000
Versal VP180292,000,000,0002021XilinxTSMC7 nm

Memory

Semiconductor memory is an electronic data storage device, often used as computer memory, implemented on integrated circuits. Nearly all semiconductor memories since the 1970s have used MOSFETs (MOS transistors), replacing earlier bipolar junction transistors. There are two major types of semiconductor memory: random-access memory (RAM) and non-volatile memory (NVM). In turn, there are two major RAM types: dynamic random-access memory (DRAM) and static random-access memory (SRAM), as well as two major NVM types: flash memory and read-only memory (ROM).

Typical CMOS SRAM consists of six transistors per cell. For DRAM, 1T1C, which means one transistor and one capacitor structure, is common. Capacitor charged or not is used to store 1 or 0. In flash memory, the data is stored in floating gates, and the resistance of the transistor is sensed to interpret the data stored. Depending on how fine scale the resistance could be separated, one transistor could store up to three bits, meaning eight distinctive levels of resistance possible per transistor. However, a finer scale comes with the cost of repeatability issues, and hence reliability. Typically, low grade 2-bits MLC flash is used for flash drives, so a 16 GB flash drive contains roughly 64 billion transistors.

For SRAM chips, six-transistor cells (six transistors per bit) was the standard. DRAM chips during the early 1970s had three-transistor cells (three transistors per bit), before single-transistor cells (one transistor per bit) became standard since the era of 4Kb DRAM in the mid-1970s. In single-level flash memory, each cell contains one floating-gate MOSFET (one transistor per bit), whereas multi-level flash contains 2, 3 or 4 bits per transistor.

Flash memory chips are commonly stacked up in layers, up to 128-layer in production, and 136-layer managed, and available in end-user devices up to 69-layer from manufacturers.

Chip nameCapacity (bits)RAM typeTransistor countDate of introductionManufacturer(s)ProcessAreaTransistor
density
(tr./mm2)Ref
1-bitSRAM (cell)61963Fairchildtitle=1966: Semiconductor RAMs Serve High-speed Storage Needsurl=https://www.computerhistory.org/siliconengine/semiconductor-rams-serve-high-speed-storage-needs/website=Computer History Museumaccess-date=19 June 2019}}
1-bitDRAM (cell)11965Toshiba
8-bitSRAM (bipolar)481965SDS, Signetics
SP9516-bitSRAM (bipolar)801965IBM
TMC316216-bitSRAM (TTL)961966Transitron
SRAM (MOS)1966NEC
256-bitDRAM (IC)2561968Fairchild
64-bitSRAM (PMOS)3841968Fairchild
144-bitSRAM (NMOS)8641968NEC
1101256-bitSRAM (PMOS)1,5361969Intel12,000 nmurl=http://download.intel.com/museum/research/arc_collect/timeline/TimelineDateSort7_05.pdftitle=A chronological list of Intel products. The products are sorted by date.date=July 2005work=Intel museumpublisher=Intel Corporationarchive-url=https://web.archive.org/web/20070809053720/http://download.intel.com/museum/research/arc_collect/timeline/TimelineDateSort7_05.pdfarchive-date=August 9, 2007access-date=July 31, 2007}}
11021 KbDRAM (PMOS)3,0721970Intel, Honeywell
11031 KbDRAM (PMOS)3,0721970Intel8,000 nm10 mm2307title=Intel: 35 Years of Innovation (1968–2003)url=https://www.intel.com/Assets/PDF/General/35yrs.pdfpublisher=Intelyear=2003access-date=26 June 2019archive-url=https://web.archive.org/web/20211104070452/https://www.intel.com/Assets/PDF/General/35yrs.pdfarchive-date=4 November 2021url-status=dead}}
μPD4031 KbDRAM (NMOS)3,0721971NEC
2 KbDRAM (PMOS)6,1441971General Instrument12.7 mm2484last1=Gealowfirst1=Jeffrey Carltitle=Impact of Processing Technology on DRAM Sense Amplifier Designurl=https://core.ac.uk/download/pdf/4426308.pdfpublisher=Massachusetts Institute of Technologyvia=COREdate=10 August 1990pages=149–166access-date=25 June 2019}}
21021 KbSRAM (NMOS)6,1441972Inteltitle=Silicon Gate MOS 2102Aurl=https://drive.google.com/file/d/0B9rh9tVI0J5mMmZlYWRlMDQtNDYzYS00OWJkLTg4YzYtZDYzMzc5Y2ZlYmVk/viewpublisher=Intelaccess-date=27 June 2019}}
8 KbDRAM (PMOS)8,1921973IBM18.8 mm2436
51011 KbSRAM (CMOS)6,1441974Intel
211616 KbDRAM (NMOS)16,3841975Intel
21144 KbSRAM (NMOS)24,5761976Inteltitle=Component Data Catalogdate=1978publisher=Intelpages=3–94url=http://bitsavers.trailing-edge.com/components/intel/_dataBooks/1978_Intel_Component_Data_Catalog.pdfaccess-date=27 June 2019}}
4 KbSRAM (CMOS)24,5761977Toshiba
64 KbDRAM (NMOS)65,5361977NTT35.4 mm21851
DRAM (VMOS)65,5361979Siemens25.2 mm22601
16 KbSRAM (CMOS)98,3041980Hitachi, Toshibaurl=http://maltiel-consulting.com/Semiconductor_technology_memory.htmltitle=Memorywebsite=STOL (Semiconductor Technology Online)access-date=25 June 2019archive-date=November 2, 2023archive-url=https://web.archive.org/web/20231102131915/http://maltiel-consulting.com/Semiconductor_technology_memory.htmlurl-status=dead}}
256 KbDRAM (NMOS)262,1441980NEC1,500 nm41.6 mm26302
NTT1,000 nm34.4 mm27620
64 KbSRAM (CMOS)393,2161980Matsushita
288 KbDRAM294,9121981IBM25 mm211,800
64 KbSRAM (NMOS)393,2161982Intel1,500 nm
256 KbSRAM (CMOS)1,572,8641984Toshiba1,200 nm
8 MbDRAM8,388,608Hitachi
16 MbDRAM (CMOS)16,777,2161987NTT700 nm148 mm2113,400
4 MbSRAM (CMOS)25,165,8241990NEC, Toshiba, Hitachi, Mitsubishi
64 MbDRAM (CMOS)67,108,8641991Matsushita, Mitsubishi, Fujitsu, Toshiba400 nm
KM48SL200016 MbSDRAM16,777,2161992Samsung
16 MbSRAM (CMOS)100,663,2961992Fujitsu, NEC400 nm
256 MbDRAM (CMOS)268,435,4561993Hitachi, NEC250 nm
1 GbDRAM1,073,741,824NEC250 nm
Hitachi160 nm
SDRAM1,073,741,8241996Mitsubishi150 nm
SDRAM (SOI)1,073,741,8241997Hyundaititle=History: 1990surl=https://www.skhynix.com/eng/about/history1990.jspwebsite=SK Hynixaccess-date=6 July 2019archive-date=February 5, 2021archive-url=https://web.archive.org/web/20210205032928/https://www.skhynix.com/eng/about/history1990.jspurl-status=dead }}
4 GbDRAM (4-bit)1,073,741,8241997NEC150 nm
DRAM4,294,967,2961998Hyundai
8 GbSDRAM (DDR3)8,589,934,592Samsung50 nm
16 GbSDRAM (DDR3)17,179,869,1842008
32 GbSDRAM (HBM2)34,359,738,3682016Samsung20 nm
64 GbSDRAM (HBM2)68,719,476,7362017
128 GbSDRAM (DDR4)137,438,953,4722018Samsung10 nm
RRAM (3DSoC)2019SkyWater Technology90 nm
Chip nameCapacity (bits)Flash typeFGMOS transistor countDate of introductionManufacturer(s)ProcessAreaTransistor
density
(tr./mm2)Ref
256 KbNOR262,1441985Toshiba2,000 nm
1 MbNOR1,048,5761989Seeq, Intel
4 MbNAND4,194,3041989Toshiba1,000 nm
16 MbNOR16,777,2161991Mitsubishi600 nm
DD28F032SA32 MbNOR33,554,4321993Intel280 mm2120,000title=DD28F032SA Datasheeturl=http://www.datasheetcatalog.com/datasheets_pdf/D/D/2/8/DD28F032SA.shtmlpublisher=Intelaccess-date=27 June 2019}}
64 MbNOR67,108,8641994NEC400 nm
NAND67,108,8641996Hitachi
128 MbNAND134,217,7281996Samsung, Hitachi
256 MbNAND268,435,4561999Hitachi, Toshiba250 nm
512 MbNAND536,870,9122000Toshiba
1 Gb2-bit NAND536,870,9122001Samsung
Toshiba, SanDisk160 nm
2 GbNAND2,147,483,6482002Samsung, Toshibatitle=Our Proud Heritage from 2000 to 2009url=https://www.samsung.com/semiconductor/about-us/history-03/website=Samsung Semiconductorpublisher=Samsungaccess-date=25 June 2019}}
8 GbNAND8,589,934,5922004Samsung60 nm
16 GbNAND17,179,869,1842005Samsung50 nm
32 GbNAND34,359,738,3682006Samsung40 nm
THGAM128 GbStacked NAND128,000,000,000Toshiba56 nm252 mm2507,900,000title=TOSHIBA COMMERCIALIZES INDUSTRY'S HIGHEST CAPACITY EMBEDDED NAND FLASH MEMORY FOR MOBILE CONSUMER PRODUCTSurl=http://www.toshiba.com/taec/news/press_releases/2007/memy_07_470.jsparchive-url=https://web.archive.org/web/20101123023805/http://www.toshiba.com/taec/news/press_releases/2007/memy_07_470.jspurl-status=deadarchive-date=November 23, 2010access-date=23 November 2010work=Toshibadate=April 17, 2007}}
THGBM256 GbStacked NAND256,000,000,0002008Toshiba43 nm353 mm2725,200,000title=Toshiba Launches the Largest Density Embedded NAND Flash Memory Devicesurl=https://www.toshiba.co.jp/about/press/2008_08/pr0701.htmaccess-date=21 June 2019publisher=Toshibadate=7 August 2008}}
THGBM21 TbStacked 4-bit NAND256,000,000,0002010Toshiba32 nm374 mm2684,500,000title=Toshiba Launches Industry's Largest Embedded NAND Flash Memory Modulesurl=https://www.toshiba.co.jp/about/press/2010_06/pr1701.htmaccess-date=21 June 2019work=Toshibadate=17 June 2010}}
KLMCG8GE4A512 GbStacked 2-bit NAND256,000,000,0002011Samsung192 mm21,333,000,000
KLUFG8R1EM4 TbStacked 3-bit V-NAND1,365,333,333,5042017Samsung150 mm29,102,000,000url=https://www.anandtech.com/show/12120/samsung-starts-production-of-512-gb-ufs-chipsarchive-url=https://web.archive.org/web/20171205221122/https://www.anandtech.com/show/12120/samsung-starts-production-of-512-gb-ufs-chipsurl-status=deadarchive-date=December 5, 2017title=Samsung Starts Production of 512 GB UFS NAND Flash Memory: 64-Layer V-NAND, 860 MB/s Readslast1=Shilovfirst1=Antondate=December 5, 2017work=AnandTechaccess-date=23 June 2019}}
eUFS (1TB)8 TbStacked 4-bit V-NAND2,048,000,000,0002019Samsung150 mm213,650,000,000last1=Mannersfirst1=Davidtitle=Samsung makes 1TB flash eUFS moduleurl=https://www.electronicsweekly.com/news/business/samsung-makes-1tb-flash-module-2019-01/access-date=23 June 2019work=Electronics Weeklydate=30 January 2019}}
1 Tb232L TLC NAND die333,333,333,3332022Micron68.5 mm2
(memory array)4,870,000,000
(14.6 Gbit/mm2){{cite web
16 Tb232L package5,333,333,333,3332022Micron68.5 mm2
(memory array)77,900,000,000
(16×14.6 Gbit/mm2)
Chip nameCapacity (bits)ROM typeTransistor countDate of introductionManufacturer(s)ProcessAreaRef
PROM1956Armaauthor=Han-Way Huangtitle=Embedded System Design with C805url=https://books.google.com/books?id=3zRtCgAAQBAJ&pg=PA22date=5 December 2008publisher=Cengage Learningisbn=978-1-111-81079-5page=22url-status=livearchive-url=https://web.archive.org/web/20180427092847/https://books.google.com/books?id=3zRtCgAAQBAJ&pg=PA22archive-date=27 April 2018}}
1 KbROM (MOS)1,0241965General Microelectronicstitle=1965: Semiconductor Read-Only-Memory Chips Appearurl=https://www.computerhistory.org/siliconengine/semiconductor-read-only-memory-chips-appear/website=Computer History Museumaccess-date=20 June 2019}}
33011 KbROM (bipolar)1,0241969Intel
17022 KbEPROM (MOS)2,0481971Intel15 mm2
4 KbROM (MOS)4,0961974AMD, General Instrument
27088 KbEPROM (MOS)8,1921975Intel
2 KbEEPROM (MOS)2,0481976Toshibalast1=Iizukafirst1=H.last2=Masuokafirst2=F.last3=Satofirst3=Tailast4=Ishikawafirst4=M.title=Electrically alterable avalanche-injection-type MOS READ-ONLY memory with stacked-gate structurejournal=IEEE Transactions on Electron Devicesdate=1976volume=23issue=4pages=379–387doi=10.1109/T-ED.1976.18415issn=0018-9383bibcode=1976ITED...23..379Is2cid=30491074}}
μCOM-43 ROM16 KbPROM (PMOS)16,0001977NEC
271616 KbEPROM (TTL)16,3841977Inteltitle=2716: 16K (2K x 8) UV ERASABLE PROMurl=https://amigan.yatho.com/2716EPROM.pdfpublisher=Intelaccess-date=27 June 2019archive-date=September 13, 2020archive-url=https://web.archive.org/web/20200913213609/https://amigan.yatho.com/2716EPROM.pdfurl-status=dead }}
EA8316F16 KbROM (NMOS)16,3841978Electronic Arrays436 mm2title=1982 CATALOGurl=http://bitsavers.trailing-edge.com/components/nec/_dataBooks/1982_NEC_Microcomputer_Catalog.pdfpublisher=NEC Electronicsaccess-date=20 June 2019}}
273232 KbEPROM32,7681978Intel
236464 KbROM65,5361978Intel
276464 KbEPROM65,5361981Intel3,500 nm
27128128 KbEPROM131,0721982Intel
27256256 KbEPROM (HMOS)262,1441983Inteltitle=27256 Datasheeturl=https://datasheet.octopart.com/D27256-2-Intel-datasheet-17852618.pdfpublisher=Intelaccess-date=2 July 2019}}
256 KbEPROM (CMOS)262,1441983Fujitsu
512 KbEPROM (NMOS)524,2881984AMD1,700 nm
27512512 KbEPROM (HMOS)524,2881984Inteltitle=D27512-30 Datasheeturl=https://www.datasheet.live/index.php?title=Special:PdfViewer&url=https%3A%2F%2Fpdf.datasheet.live%2Fe6dbd5cf%2Fintel.com%2FD27512-30.pdfpublisher=Intelaccess-date=2 July 2019}}
1 MbEPROM (CMOS)1,048,5761984NEC1,200 nm
4 MbEPROM (CMOS)4,194,3041987Toshiba800 nm
16 MbEPROM (CMOS)16,777,2161990NEC600 nm
MROM16,777,2161995AKM, Hitachi

Transistor computers

Main article: Transistor computer

Part of an [[IBM 7070]] card cage populated with [[Standard Modular System]] cards

Before transistors were invented, relays were used in commercial tabulating machines and experimental early computers. The world's first working programmable, fully automatic digital computer, the 1941 Z3 22-bit word length computer, had 2,600 relays, and operated at a clock frequency of about 4–5 Hz. The 1940 Complex Number Computer had fewer than 500 relays, but it was not fully programmable. The earliest practical computers used vacuum tubes and solid-state diode logic. ENIAC had 18,000 vacuum tubes, 7,200 crystal diodes, and 1,500 relays, with many of the vacuum tubes containing two triode elements.

The second generation of computers were transistor computers that featured boards filled with discrete transistors, solid-state diodes and magnetic memory cores. The experimental 1953 48-bit Transistor Computer, developed at the University of Manchester, is widely believed to be the first transistor computer to come into operation anywhere in the world (the prototype had 92 point-contact transistors and 550 diodes). A later version the 1955 machine had a total of 250 junction transistors and 1,300 point-contact diodes. The Computer also used a small number of tubes in its clock generator, so it was not the first fully transistorized. The ETL Mark III, developed at the Electrotechnical Laboratory in 1956, may have been the first transistor-based electronic computer using the stored program method. It had about "130 point-contact transistors and about 1,800 germanium diodes were used for logic elements, and these were housed on 300 plug-in packages which could be slipped in and out." The 1958 decimal architecture IBM 7070 was the first transistor computer to be fully programmable. It had about 30,000 alloy-junction germanium transistors and 22,000 germanium diodes, on approximately 14,000 Standard Modular System (SMS) cards. The 1959 MOBIDIC, short for "MOBIle DIgital Computer", at 12,000 pounds (6.0 short tons) mounted in the trailer of a semi-trailer truck, was a transistorized computer for battlefield data.

The third generation of computers used integrated circuits (ICs). The 1962 15-bit Apollo Guidance Computer used "about 4,000 "Type-G" (3-input NOR gate) circuits" for about 12,000 transistors plus 32,000 resistors. 33 modules (for logic, excluding RAM?) = 3960 ICs?

http://www.righto.com/2019/01/inside-apollo-guidance-computers-core.html "The AGC is implemented with dozens of modules in two trays. [..] The AGC's logic is entirely built from 3-input NOR gates (two per integrated circuit), and the address decoder is no exception. The image below shows logic module A14. (The other logic modules look essentially the same, but the internal printed circuit board is wired differently.) The logic modules all have a similar design: two rows of 30 ICs on each side, for 120 ICs in total, or 240 3-input NOR gates. (Module A14 has one blank location on each side, for 118 ICs in total.) [..] Each integrated circuit implemented two NOR gates using RTL (resistor-transistor logic), an early logic family. These ICs were costly; they cost $20-$30 each (around $150 in current dollars). There wasn't much inside each IC, just three transistors and eight resistors.

The IBM System/360, introduced 1964, used discrete transistors in hybrid circuit packs. The 1965 12-bit PDP-8 CPU had 1409 discrete transistors and over 10,000 diodes, on many cards. Later versions, starting with the 1968 PDP-8/I, used integrated circuits. The PDP-8 was later reimplemented as a microprocessor as the Intersil 6100, see below.

The next generation of computers were the microcomputers, starting with the 1971 Intel 4004, which used MOS transistors. These were used in home computers or personal computers (PCs).

This list includes early transistorized computers (second generation) and IC-based computers (third generation) from the 1950s and 1960s.

ComputerTransistor countYearManufacturerNotesRef
Transistor Computer921953University of ManchesterPoint-contact transistors, 550 diodes. Lacked stored program capability.title=1953: Transistorized Computers Emergeurl=https://www.computerhistory.org/siliconengine/transistorized-computers-emerge/website=Computer History Museumaccess-date=19 June 2019}}
TRADIC7001954Bell LabsPoint-contact transistors
Transistor Computer (full size)2501955University of ManchesterDiscrete point-contact transistors, 1,300 diodes
IBM 6083,0001955IBMGermanium transistors
ETL Mark III1301956Electrotechnical LaboratoryPoint-contact transistors, 1,800 diodes, stored program capabilitytitle=ETL Mark III Transistor-Based Computerurl=http://museum.ipsj.or.jp/en/computer/dawn/0011.htmlwebsite=IPSJ Computer Museumpublisher=Information Processing Society of Japanaccess-date=19 June 2019}}
Metrovick 9502001956Metropolitan-VickersDiscrete junction transistors
NEC NEAC-22016001958NECGermanium transistors
Hitachi MARS-11,0001958Hitachi
IBM 707030,0001958IBMAlloy-junction germanium transistors, 22,000 diodes
Matsushita MADIC-I4001959MatsushitaBipolar transistors
NEC NEAC-22032,5791959NEC
Toshiba TOSBAC-21005,0001959Toshiba
IBM 709050,0001959IBMDiscrete germanium transistors
PDP-12,7001959Digital Equipment CorporationDiscrete transistors
Olivetti Elea 9003?1959Olivetti300,000 (?) discrete transistors and diodes
Mitsubishi MELCOM 11013,5001960MitsubishiGermanium transistors
M18 FADAC1,6001960AutoneticsDiscrete transistors
CPU of IBM 7030 Stretch169,1001961IBMWorld's fastest computer from 1961 to 1964{{cite conference
D-17B1,5211962AutoneticsDiscrete transistors
NEC NEAC-L216,0001964NECGe transistors
CDC 6600 (entire computer)400,0001964Control Data CorporationWorld's fastest computer from 1964 to 1969{{cite book
IBM System/360?1964IBMHybrid circuits
PDP-8 "Straight-8"Intersil IM6100]] clone of it had 4,000--1965Digital Equipment Corporationdiscrete transistors, 10,000 diodes
PDP-8/S1,0011966Digital Equipment Corporationdiscrete transistors, diodes
PDP-8/I1,4091968Digital Equipment Corporation74 series TTL circuits
Apollo Guidance Computer Block I12,3001966Raytheon / MIT Instrumentation Laboratory4,100 ICs, each containing a 3-transistor, 3-input NOR gate. (Block II had 2,800 dual 3-input NOR gates ICs.)

Logic functions

Transistor count for generic logic functions is based on static CMOS implementation.

FunctionTransistor count
NOT2
Buffer4
NAND 2-input4
NOR 2-input4
AND 2-input6
OR 2-input6
NAND 3-input6
NOR 3-input6
XOR 2-input6
XNOR 2-input8
MUX 2-input with TG6
MUX 4-input with TG18
NOT MUX 2-input8
MUX 4-input24
1-bit full adder24
1-bit adder–subtractor48
AND-OR-INVERT6
Latch, D gated8
Flip-flop, edge triggered dynamic D with reset12
8-bit multiplier3,000
16-bit multiplier9,000
32-bit multiplier21,000
small-scale integration2–100
medium-scale integration100–500
large-scale integration500–20,000
very-large-scale integration20,000–1,000,000
ultra-large scale integration1,000,000

Parallel systems

Historically, each processing element in earlier parallel systems—like all CPUs of that time—was a serial computer built out of multiple chips. As transistor counts per chip increases, each processing element could be built out of fewer chips, and then later each multi-core processor chip could contain more processing elements.

Goodyear MPP: (1983?) 8 pixel processors per chip, 3,000 to 8,000 transistors per chip.

Brunel University Scape (single-chip array-processing element): (1983) 256 pixel processors per chip, 120,000 to 140,000 transistors per chip.

Cell Broadband Engine: (2006) with 9 cores per chip, had 234 million transistors per chip.

Other devices

Device typeDevice nameTransistor countDate of introductionDesigner(s)Manufacturer(s)MOS processAreaTransistor density, tr./mm2Ref
Deep learning engine / IPUColossus GC223,600,000,0002018GraphcoreTSMC16 nm~800 mm229,500,000
Deep learning engine / IPUWafer Scale Engine1,200,000,000,0002019CerebrasTSMC16 nm46,225 mm225,960,000url=https://www.extremetech.com/extreme/296906-cerebras-systems-unveils-1-2-trillion-transistor-wafer-scale-processor-for-aititle=Cerebras Systems Unveils 1.2 Trillion Transistor Wafer-Scale Processor for AIwebsite=extremetech.comlast=Hruskafirst=Joeldate=August 2019access-date=2019-09-06}}
Deep learning engine / IPUWafer Scale Engine 22,600,000,000,0002020CerebrasTSMC7 nm46,225 mm256,250,000title=Cerebras Unveils 2nd Gen Wafer Scale Engine: 850,000 Cores, 2.6 Trillion Transistors - ExtremeTechurl=https://www.extremetech.com/computing/322070-cerebras-unveils-2nd-gen-wafer-scale-engine-850000-cores-2-6-trillion-transistorsaccess-date=2021-04-22website=www.extremetech.comdate=April 21, 2021 }}
Network switchNVLink4 NVSwitch25,100,000,0002022NvidiaTSMCN4 (4 nm)294 mm285,370,000

Transistor density

The transistor density is the number of transistors that are fabricated per unit area, typically measured in terms of the number of transistors per square millimeter (mm2). The transistor density usually correlates with the gate length of a semiconductor node (also known as a semiconductor manufacturing process), typically measured in nanometers (nm). , the semiconductor node with the highest transistor density is TSMC's 5 nanometer node, with 171.3million transistors per square millimeter (note this corresponds to a transistor-transistor spacing of 76.4 nm, far greater than the relative meaningless "5nm")

MOSFET nodes

Node nameTransistor density (transistors/mm2)Production yearProcessMOSFETManufacturer(s)Ref
196020,000 nmPMOSBell Labs
196020,000 nmNMOS
1963CMOSFairchildtitle=1963: Complementary MOS Circuit Configuration is Inventedurl=https://www.computerhistory.org/siliconengine/complementary-mos-circuit-configuration-is-invented/access-date=6 July 2019website=Computer History Museum}}
1964PMOSGeneral Microelectronics
196820,000 nmCMOSRCAlast1=Lojekfirst1=Botitle=History of Semiconductor Engineeringdate=2007publisher=Springer Science & Business Mediaisbn=9783540342588page=330url=https://books.google.com/books?id=2cu1Oh_COv8C&pg=PA330}}
196912,000 nmPMOSIntel
197010,000 nmCMOSRCA
19708,000 nmPMOSIntel
197110,000 nmPMOSIntel
1971PMOSGeneral Instrument
1973NMOSTexas Instruments
1973NMOSMostek
19737,500 nmNMOSNEC
19736,000 nmPMOSToshibalast1=Belzerfirst1=Jacklast2=Holzmanfirst2=Albert G.last3=Kentfirst3=Allentitle=Encyclopedia of Computer Science and Technology: Volume 10 Linear and Matrix Algebra to Microorganisms: Computer-Assisted Identificationdate=1978publisher=CRC Pressisbn=9780824722609page=402url=https://books.google.com/books?id=iBsUXrgKBKkC&pg=PA402}}
19765,000 nmNMOSHitachi, Intel
19765,000 nmCMOSRCA
19764,000 nmNMOSZilog
19763,000 nmNMOSIntel
1977NMOSNTT
19783,000 nmCMOSHitachi
19782,500 nmNMOSTexas Instruments
19782,000 nmNMOSNEC, NTT
1979VMOSSiemens
19791,000 nmNMOSNTT
19801,000 nmNMOSNTT
19832,000 nmCMOSToshiba
19831,500 nmCMOSIntel
19831,200 nmCMOSIntel
1984800 nmCMOSNTT
1987700 nmCMOSFujitsu
1989600 nmCMOSMitsubishi, NEC, Toshiba
1989500 nmCMOSHitachi, Mitsubishi, NEC, Toshiba
1991400 nmCMOSMatsushita, Mitsubishi, Fujitsu, Toshiba
1993350 nmCMOSSony
1993250 nmCMOSHitachi, NEC
3LM32,0001994350 nmCMOSNEC
1995160 nmCMOSHitachi
1996150 nmCMOSMitsubishi
TSMC 180nm1998180 nmCMOSTSMC
CS801999180 nmCMOSFujitsu
1999180 nmCMOSIntel, Sony, Toshiba
CS851999170 nmCMOSFujitsu
Samsung 140nm1999140 nmCMOSSamsung
2001130 nmCMOSFujitsu, Intel
Samsung 100nm2001100 nmCMOSSamsung
200290 nmCMOSSony, Toshiba, Samsung
CS100200390 nmCMOSFujitsu
Intel 90nm1,450,000200490 nmCMOSIntellast1=Cutressfirst1=Iantitle=Intel's 10nm Cannon Lake and Core i3-8121U Deep Dive Reviewurl=https://www.anandtech.com/show/13405/intel-10nm-cannon-lake-and-core-i3-8121u-deep-dive-review/3archive-url=https://web.archive.org/web/20190130194809/https://www.anandtech.com/show/13405/intel-10nm-cannon-lake-and-core-i3-8121u-deep-dive-review/3url-status=deadarchive-date=January 30, 2019website=AnandTechaccess-date=19 June 2019}}
Samsung 80nm200480 nmCMOSSamsungurl=https://www.samsung.com/semiconductor/insights/news-events/samsung-shows-industrys-first-2-gigabit-ddr2-sdram/title=Samsung Shows Industry's First 2-Gigabit DDR2 SDRAMdate=20 September 2004work=Samsung Semiconductoraccess-date=25 June 2019publisher=Samsung}}
200465 nmCMOSFujitsu, Toshiba
Samsung 60nm200460 nmCMOSSamsung
TSMC 45nm200445 nmCMOSTSMC
Elpida 90nm200590 nmCMOSElpida Memory
CS200200565 nmCMOSFujitsu
Samsung 50nm200550 nmCMOSSamsungtitle=Historyurl=https://www.samsung.com/us/aboutsamsung/company/history/website=Samsung Electronicspublisher=Samsungaccess-date=19 June 2019}}
Intel 65nm2,080,000200665 nmCMOSIntel
Samsung 40nm200640 nmCMOSSamsung
Toshiba 56nm200756 nmCMOSToshiba
Matsushita 45nm200745 nmCMOSMatsushita
Intel 45nm3,300,000200845 nmCMOSIntelurl=https://spectrum.ieee.org/intel-now-packs-100-million-transistors-in-each-square-millimetertitle=Intel Now Packs 100 Million Transistors in Each Square Millimeterwebsite=IEEE Spectrum: Technology, Engineering, and Science Newsdate=March 30, 2017access-date=2018-11-14}}
Toshiba 43nm200843 nmCMOSToshiba
TSMC 40nm200840 nmCMOSTSMC
Toshiba 32nm200932 nmCMOSToshibaurl=http://www.toshiba.co.jp/about/press/2009_02/pr1102.htmtitle=Toshiba Makes Major Advances in NAND Flash Memory with 3-bit-per-cell 32nm generation and with 4-bit-per-cell 43nm technologydate=11 February 2009work=Toshibaaccess-date=21 June 2019}}
Intel 32nm7,500,000201032 nmCMOSIntel
201020 nmCMOSHynix, Samsungtitle=History: 2010surl=https://www.skhynix.com/eng/about/history2010.jspwebsite=SK Hynixaccess-date=8 July 2019archive-date=April 29, 2021archive-url=https://web.archive.org/web/20210429202547/https://www.skhynix.com/eng/about/history2010.jspurl-status=dead }}
Intel 22nm15,300,000201222 nmCMOSIntel
IMFT 20nm201220 nmCMOSIMFT
Toshiba 19nm201219 nmCMOSToshiba
Hynix 16nm201316 nmFinFETSK Hynix
TSMC 16nm28,880,000201316 nmFinFETTSMCurl=https://fuse.wikichip.org/news/2261/tsmc-announces-6-nanometer-process/title=TSMC Announces 6-Nanometer Processlast=Schorfirst=Daviddate=2019-04-16website=WikiChip Fuseaccess-date=2019-05-31}}
Samsung 10nm51,820,000201310 nmFinFETSamsungurl=https://fuse.wikichip.org/news/1443/vlsi-2018-samsungs-8nm-8lpp-a-10nm-extension/title=VLSI 2018: Samsung's 8nm 8LPP, a 10nm extensiondate=2018-07-01website=WikiChip Fuseaccess-date=2019-05-31}}
Intel 14nm37,500,000201414 nmFinFETIntel
14LP32,940,000201514 nmFinFETSamsung
TSMC 10nm52,510,000201610 nmFinFETTSMCtitle=10nm Technologyurl=https://www.tsmc.com/english/dedicatedFoundry/technology/10nm.htmpublisher=TSMCaccess-date=30 June 2019}}
12LP36,710,000201712 nmFinFETGlobalFoundries, Samsungurl=https://fuse.wikichip.org/news/1497/vlsi-2018-globalfoundries-12nm-leading-performance-12lp/title=VLSI 2018: GlobalFoundries 12nm Leading-Performance, 12LPlast=Schorfirst=Daviddate=2018-07-22website=WikiChip Fuseaccess-date=2019-05-31}}
N7FF96,500,00020177 nmFinFETTSMClast1=Jonesfirst1=Scottentitle=TSMC and Samsung 5nm Comparisonurl=https://semiwiki.com/semiconductor-manufacturers/samsung-foundry/8157-tsmc-and-samsung-5nm-comparison/website=Semiwikidate=May 3, 2019access-date=30 July 2019}}
8LPP61,180,00020188 nmFinFETSamsung
7LPE95,300,00020187 nmFinFETSamsung
Intel 10nm100,760,000201810 nmFinFETIntel
5LPE126,530,00020185 nmFinFETSamsung
N7FF+113,900,00020197 nmFinFETTSMC
CLN5FF171,300,00020195 nmFinFETTSMCurl=https://fuse.wikichip.org/news/2207/tsmc-starts-5-nanometer-risk-production/title=TSMC Starts 5-Nanometer Risk Productionlast=Schorfirst=Daviddate=2019-04-06website=WikiChip Fuseaccess-date=2019-04-07}}
Intel 7100,760,00020217 nmFinFETIntel
4LPE145,700,00020214 nmFinFETSamsungurl=https://news.samsung.com/global/samsung-foundry-innovations-power-the-future-of-big-data-ai-ml-and-smart-connected-devicestitle=Samsung Foundry Innovations Power the Future of Big Data, AI/ML and Smart, Connected Devicesdate=2021-10-07}}
N4url=https://fuse.wikichip.org/news/6439/tsmc-extends-its-5nm-family-with-a-new-enhanced-performance-n4p-node/title=TSMC Extends Its 5nm Family With A New Enhanced-Performance N4P Nodewebsite=WikiChipdate=2021-10-26}}20214 nmFinFETTSMC
N4P196,600,00020224 nmFinFETTSMC
3GAE202,850,00020223 nmMBCFETSamsung
N3314,730,00020223nmFinFETTSMC
N4X20234nmFinFETTSMCurl=https://pr.tsmc.com/english/news/2895title=TSMC Introduces N4X Process (press release)website=TSMCdate=2021-12-16}}
N3E20233nmFinFETTSMC
3GAP20233 nmMBCFETSamsung
Intel 4160,000,00020234 nmFinFETIntel
Intel 320233 nmFinFETIntel
Intel 20A20242 nmRibbonFETIntel
Intel 18A2025sub-2 nmRibbonFETIntel
2GAP20252 nmMBCFETSamsung
N220252 nmGAAFETTSMCurl=https://www.anandtech.com/print/17356/tsmc-roadmap-update-n3e-in-2024-n2-in-2026-major-changes-incomingarchive-url=https://web.archive.org/web/20220425143712/https://www.anandtech.com/print/17356/tsmc-roadmap-update-n3e-in-2024-n2-in-2026-major-changes-incomingurl-status=deadarchive-date=April 25, 2022title=TSMC roadmap updatewebsite=AnandTechdate=2022-04-22}}
Samsung 1.4 nm20271.4 nmSamsung{{cite web

Gate count

In certain applications, the term gate count is preferred over the term transistor count. It refers to the number of logic gates built with transistors and other electronic devices needed to implement a design.

Notes

References

References

  1. Everett, Joseph. (August 26, 2020). "World's largest CPU has 850,000 7 nm cores that are optimized for AI and 2.6 trillion transistors".
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