Template:Nvidia Tesla

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Model
Microarchitecture
 Launch Core Core clock
(MHz) 		Shaders Memory Processing power (TFLOPS)[a] CUDA compute capability[b] TDP
(W) 		Notes, form factor
Core config [c] Base clock (MHz) Max boost
clock (MHz)[d] 		Bus type Bus width
(bit) 		Size
(GB) 		Clock
(MT/s) 		Bandwidth
(GB/s) 		Half precision
Tensor Core FP32 Accumulate 		Single precision
(MAD or FMA) 		Double precision
(FMA)
C870 GPU Computing Module[e] Tesla May 2, 2007 1× G80 600 128:32 :24:0:0 (16) 1350 — GDDR3 384 1.5 1600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot)
D870 Deskside Computer[e] May 2, 2007 2× G80 600 2× 128:32 :24:0:0 (16) 1350 — GDDR3 2× 384 2× 1.5 1600 2× 76.8 No 0.6912 No 1.0 520 Deskside or 3U rack-mount external GPUs
S870 GPU Computing Server[e] May 2, 2007 4× G80 600 4× 128:32 :24:0:0
(16) 		1350 — GDDR3 4× 384 4× 1.5 1600 4× 76.8 No 1.382 No 1.0 1U rack-mount external GPUs, connect via 2× PCIe (×16)
C1060 GPU Computing Module[f] April 9, 2009 1× GT200 602 240:80 :32:0:0
(30) 		1296[2] — GDDR3 512 4 1600 102.4 No 0.6221 0.07776 1.3 187.8 Internal PCIe GPU (full-height, dual-slot)
S1070 GPU Computing Server "400 configuration"[f] June 1, 2008 4× GT200 602 4× 240:80 :32:0:0
(30) 		1296 — GDDR3 4× 512 4× 4 1538.4 4× 98.5 No 2.488 0.311 1.3 800 1U rack-mount external GPUs, connect via 2× PCIe (×8 or ×16)
S1070 GPU Computing Server "500 configuration"[f] June 1, 2008 1440 — No 2.765 0.3456
S1075 GPU Computing Server[f][3] June 1, 2008 4× GT200 602 4× 240:80 :32:0:0
(30) 		1440 — GDDR3 4× 512 4× 4 1538 4× 98.5 No 2.765 0.3456 1.3 1U rack-mount external GPUs, connect via 1× PCIe (×8 or ×16)
Quadro Plex 2200 D2 Visual Computing System[g] July 25, 2008 2× GT200GL 648 2× 240:80 :32:0:0
(30) 		1296 — GDDR3 2× 512 2× 4 1600 2× 102.4 No 1.244 0.1555 1.3 Deskside or 3U rack-mount external GPUs with 4 dual-link DVI outputs
Quadro Plex 2200 S4 Visual Computing System[g] July 25, 2008 4× GT200GL 648 4× 240:80 :32:0:0
(30) 		1296 — GDDR3 4× 512 4× 4 1600 4× 102.4 No 2.488 0.311 1.3 1200 1U rack-mount external GPUs, connect via 2× PCIe (×8 or ×16)
C2050 GPU Computing Module[4] Fermi July 25, 2011 1× GF100 575 448:56 :48:0:0
(14) 		1150 — GDDR5 384 3[h] 3000 144 No 1.030 0.5152 2.0 247 Internal PCIe GPU (full-height, dual-slot)
M2050 GPU Computing Module[5] July 25, 2011 — 3092 148.4 No 225
C2070 GPU Computing Module[4] July 25, 2011 1× GF100 575 448:56 :48:0:0
(14) 		1150 — GDDR5 384 6[h] 3000 144 No 1.030 0.5152 2.0 247 Internal PCIe GPU (full-height, dual-slot)
C2075 GPU Computing Module[6] July 25, 2011 — 3000 144 No 225
M2070/M2070Q GPU Computing Module[7] July 25, 2011 — 3132 150.3 No 225
M2090 GPU Computing Module[8] July 25, 2011 1× GF110 650 512:64 :48:0:0
(16) 		1300 — GDDR5 384 6[h] 3700 177.6 No 1.331 0.6656 2.0 225 Internal PCIe GPU (full-height, dual-slot)
S2050 GPU Computing Server July 25, 2011 4× GF100 575 4× 448:56 :48:0:0
(14) 		1150 — GDDR5 4× 384 4× 3[h] 3000 4× 148.4 No 4.122 2.061 2.0 900 1U rack-mount external GPUs, connect via 2× PCIe (×8 or ×16)
S2070 GPU Computing Server July 25, 2011 — 4× 6[h] No
K10 GPU accelerator[9] Kepler May 1, 2012 2× GK104 — 2× 1536:138 :32:0:0
(8) 		745 ? GDDR5 2× 256 2× 4 5000 2× 160 No 4.577 0.1907 3.0 225 Internal PCIe GPU (full-height, dual-slot)
K20 GPU accelerator[10][11] November 12, 2012 1× GK110 — 2496:208 :40:0:0
(13) 		706 758 GDDR5 320 5 5200 208 No 3.524 1.175 3.5 225 Internal PCIe GPU (full-height, dual-slot)
K20X GPU accelerator[12] November 12, 2012 1× GK110 — 2688:224 :48:0:0
(14) 		732 ? GDDR5 384 6 5200 250 No 3.935 1.312 3.5 235 Internal PCIe GPU (full-height, dual-slot)
K40 GPU accelerator[13] October 8, 2013 1× GK110B — 2880:240 :48:0:0
(15) 		745 875 GDDR5 384 12[h] 6000 288 No 4.291–5.040 1.430–1.680 3.5 235 Internal PCIe GPU (full-height, dual-slot)
K80 GPU accelerator[14] November 17, 2014 2× GK210 — 2× 2496:208 :48:0:0
(13) 		560 875 GDDR5 2× 384 2× 12 5000 2× 240 No 5.591–8.736 1.864–2.912 3.7 300 Internal PCIe GPU (full-height, dual-slot)
M4 GPU accelerator[15][16] Maxwell November 10, 2015 1× GM206 — 1024:64 :32:0:0
(8) 		872 1072 GDDR5 128 4 5500 88 No 1.786–2.195 0.05581–0.06861 5.2 50–75 Internal PCIe GPU (half-height, single-slot)
M6 GPU accelerator[17] August 30, 2015 1× GM204-995-A1 — 1536:96 :64:0:0
(12) 		722 1051 GDDR5 256 8 4600 147.2 No 2.218–3.229 0.0693–0.1009 5.2 75–100 Internal MXM GPU
M10 GPU accelerator[18] May 18, 2016 4× GM107 — 4× 640:40 :16:0:0
(5) 		1033 ? GDDR5 4× 128 4× 8 5188 4× 83 No 5.289 0.1653 5.2 225 Internal PCIe GPU (full-height, dual-slot)
M40 GPU accelerator[16][19] November 10, 2015 1× GM200 — 3072:192 :96:0:0
(24) 		948 1114 GDDR5 384 12 or 24 6000 288 No 5.825–6.844 0.182–0.2139 5.2 250 Internal PCIe GPU (full-height, dual-slot)
M60 GPU accelerator[20] August 30, 2015 2× GM204-895-A1 — 2× 2048:128 :64:0:0
(16) 		899 1178 GDDR5 2× 256 2× 8 5000 2× 160 No 7.365–9.650 0.2301–0.3016 5.2 225–300 Internal PCIe GPU (full-height, dual-slot)
P4 GPU accelerator[21] Pascal September 13, 2016 1× GP104 — 2560:160 :64:0:0
(20) 		810 1063 GDDR5 256 8 6000 192.0 No 4.147–5.443 0.1296–0.1701 6.1 50–75 PCIe card
P6 GPU accelerator[22][23] March 24, 2017 1× GP104-995-A1 — 2048:128 :64:0:0
(16) 		1012 1506 GDDR5 256 16 3003 192.2 No 6.169 0.1928 6.1 90 MXM card
P40 GPU accelerator[21] September 13, 2016 1× GP102 — 3840:240 :96:0:0
(30) 		1303 1531 GDDR5 384 24 7200 345.6 No 10.01–11.76 0.3127–0.3674 6.1 250 PCIe card
P100 GPU accelerator (mezzanine)[24][25] April 5, 2016 1× GP100-890-A1 — 3584:224 :96:0:0
(56) 		1328 1480 HBM2 4096 16 1430 732 No 9.519–10.61 4.760–5.304 6.0 300 SXM card
P100 GPU accelerator (16 GB card)[26] June 20, 2016 1× GP100 — 1126 1303 No 8.071‒9.340 4.036‒4.670 250 PCIe card
P100 GPU accelerator (12 GB card)[26] June 20, 2016 — 3072 12 549 No 8.071‒9.340 4.036‒4.670
V100 GPU accelerator (mezzanine)[27][28][29] Volta May 10, 2017 1× GV100-895-A1 — 5120:320 :128:640:0
(80) 		Unknown 1455 HBM2 4096 16 or 32 1750 900 119.2 14.90 7.450 7.0 300 SXM card
V100 GPU accelerator (PCIe card)[27][28][29] June 21, 2017 1× GV100 — Unknown 1370 112.2 14.03 7.014 250 PCIe card
V100 GPU accelerator (PCIe FHHL card) March 27, 2018 1× GV100 — 937 1290 16 1620 829.4 105.7 13.21 6.605 250 PCIe FHHL card
T4 GPU accelerator (PCIe card)[30][31] Turing September 12, 2018 1× TU104-895-A1 — 2560:160 :64:320:40
(40) 		585 1590 GDDR6 256 16 5000 320 64.8 8.1 Unknown 7.5 70 PCIe card
A2 GPU accelerator (PCIe card)[32] Ampere November 10, 2021 1× GA107 — 1280:40 :32:40:10
(10) 		1440 1770 GDDR6 128 16 6252 200 18.12 4.531 0.14 8.6 40–60 PCIe card (half height, single-slot)
A10 GPU accelerator (PCIe card)[33] April 12, 2021 1× GA102-890-A1 — 9216:288 :96:288:72
(72) 		885 1695 GDDR6 384 24 6252 600 125.0 31.24 0.976 8.6 150 PCIe card (single-slot)
A16 GPU accelerator (PCIe card)[34] April 12, 2021 4× GA107 — 4× 1280:40 :32:40:10
(10) 		885 1695 GDDR6 4× 128 4× 16 7242 4× 200 4x 18.43 4× 4.608 1.085 8.6 250 PCIe card (dual-slot)
A30 GPU accelerator (PCIe card)[35] April 12, 2021 1× GA100 — 3584:224 :96:224:0
(56) 		930 1440 HBM2 3072 24 1215 933.1 165.1 10.32 5.161 8.0 165 PCIe card (dual-slot)
A40 GPU accelerator (PCIe card)[36] October 5, 2020 1× GA102 — 10752:336 :112:336:84
(84) 		1305 1740 GDDR6 384 48 7248 695.8 149.7 37.42 1.168 8.6 300 PCIe card (dual-slot)
A100 GPU accelerator (PCIe card)[37][38] May 14, 2020[39] 1× GA100-883AA-A1 — 6912:432 :160:432:0
(108) 		765 1410 HBM2 5120 40 or 80 1215 1555 312.0 19.5 9.7 8.0 250 PCIe card (dual-slot)
H100 GPU accelerator (PCIe card)[40] Hopper March 22, 2022[41] 1× GH100[42] — 14592:456 :24:456:0
(114) 		1065 1755 CUDA 1620 TC HBM2E 5120 80 1000 2039 756.4 51.2 25.6 9.0 350 PCIe card (dual-slot)
H100 GPU accelerator (SXM card) — 16896:528 :24:528:0
(132) 		1065 1980 CUDA 1830 TC HBM3 5120 64 or 80 or 96 1500 3352 989.4 66.9 33.5 9.0 700 SXM card
H200 GPU accelerator (PCIe card)[43] November 18, 2024[44] 1× GH100 — 1365 1785 HBM3E 5120 141 1313 3360 — 60.32 30.16 9.0 600 PCIe card (dual-slot)
H200 GPU accelerator (SXM card) — 1590 1980 HBM3E 5120 141 1313 3360 — 66.91 33.45 9.0 700 SXM card
H800 GPU accelerator (SXM card) March 21, 2023[45] 1× GH100 — 1095 1755 HBM3 5120 80 1313 3360 — 59.3 29.65 9.0 700 SXM card
L40 GPU accelerator[46] Ada Lovelace October 13, 2022 1× AD102[47] — 18176:568 :192:568:142 (142) 735 2490 GDDR6 384 48 2250 864 362.1 90.52 1.414 8.9 300 PCIe card (dual-slot)
L4 GPU accelerator[48][49] March 21, 2023[50] 1x AD104[51] — 7424:240 :80:240:0
(60) 		795 2040 GDDR6 192 24 1563 300 121.0 30.3 0.49 8.9 72 HHHL single slot PCIe card
B100 GPU accelerator[52] Blackwell November 2024 2× GB102 — 2× 16896:528 :24:528:0
(132) 		1665 1837 HBM3E 2× 4096 2× 96 2000 2× 4100 2× 990[53] 2× 62.08 2× 31.04 10.1 700[53] SXM card
B200 GPU accelerator[54] 2024 2× GB100 — 1665 1837 HBM3E 2× 4096 2× 96 2000 2× 4100 2× 1125[53] 2× 62.08 2× 31.04 10.0 1000 SXM card

Notes

  1. ^ To calculate the processing power see Tesla (microarchitecture)#Performance, Fermi (microarchitecture)#Performance, Kepler (microarchitecture)#Performance, Maxwell (microarchitecture)#Performance, or Pascal (microarchitecture)#Performance. A number range specifies the minimum and maximum processing power at, respectively, the base clock and maximum boost clock.
  2. ^ Core architecture version according to the CUDA programming guide.
  3. ^ Main shader processors : texture mapping unit : render output units : tensor cores : ray-tracing cores (streaming multiprocessors)
  4. ^ GPU Boost is a default feature that increases the core clock rate while remaining under the card's predetermined power budget. Multiple boost clocks are available, but this table lists the highest clock supported by each card.[1]
  5. ^ a b c Specifications not specified by Nvidia assumed to be based on the GeForce 8800 GTX
  6. ^ a b c d Specifications not specified by Nvidia assumed to be based on the GeForce GTX 280
  7. ^ a b Specifications not specified by Nvidia assumed to be based on the Quadro FX 5800
  8. ^ a b c d e f With ECC on, a portion of the dedicated memory is used for ECC bits, so the available user memory is reduced by 12.5%. (e.g. 4 GB total memory yields 3.5 GB of user available memory.)

References

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