Edge Rewrite
everything Source code View original
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a28fc1394a4e15db

Jump to content

// Workers AI · dad joke modeWhat did Volta say to the battery? You're shocking me.

From Wikipedia, the free encyclopedia
(Redirected from Nvidia Volta)
Nvidia Volta
Release dateDecember 7, 2017
CodenameVolta
Fabrication processTSMC 12 nm (FinFET)
Cards
Enthusiast
  • Tesla V100
  • Tesla V100S PCIe
  • Titan V
  • Titan V CEO Edition
  • Quadro GV100
History
PredecessorPascal
VariantTuring (consumer, professional)
SuccessorAmpere (consumer, professional)
Support status
Limited support until October 2025
Security updates until October 2028[1]
Painting of Alessandro Volta, eponym of architecture

Volta is the codename, but not the trademark,[2] for a GPU microarchitecture developed by Nvidia, succeeding Pascal. It was first announced on a roadmap in March 2013,[3] although the first product was not announced until May 2017.[4] The architecture is named after 18th–19th century Italian chemist and physicist Alessandro Volta. It was Nvidia's first chip to feature Tensor Cores, specially designed cores that have superior deep learning performance over regular CUDA cores.[5] The architecture is produced with TSMC's 12 nm FinFET process. The Ampere microarchitecture is the successor to Volta.

The first graphics card to use it was the datacenter Tesla V100, e.g. as part of the Nvidia DGX-1 system.[4] It has also been used in the Quadro GV100 and Titan V. There were no mainstream GeForce graphics cards based on Volta.

After two USPTO proceedings,[6][7] on July 3, 2023 Nvidia lost the Volta trademark application in the field of artificial intelligence. The Volta trademark[8] owner remains Volta Robots, a company specialized in AI and vision algorithms for robots and unmanned vehicles.

Details

[edit]

Architectural improvements of the Volta architecture include the following:

  • CUDA Compute Capability 7.0
    • concurrent execution of integer and floating point operations
  • TSMC's 12 nm FinFET process,[9] allowing 21.1 billion transistors.[10]
  • High Bandwidth Memory 2 (HBM2),[9][11]
  • NVLink 2.0: a high-bandwidth bus between the CPU and GPU, and between multiple GPUs. Allows much higher transfer speeds than those achievable by using PCI Express; estimated to provide 25 Gbit/s per lane.[12] (Disabled for Titan V)
  • Tensor cores: A tensor core is a unit that multiplies two 4×4 FP16 matrices, and then adds a third FP16 or FP32 matrix to the result by using fused multiply–add operations, and obtains an FP32 result that could be optionally demoted to an FP16 result.[13] Tensor cores are intended to speed up the training of neural networks.[13] Volta's Tensor cores are first generation while Ampere has third generation Tensor cores.[14][15]
  • PureVideo Feature Set I hardware video decoding

Comparison of Compute Capability: GP100 vs GV100 vs GA100[16]

GPU features Nvidia Tesla P100 Nvidia Tesla V100 Nvidia A100
GPU codename GP100 GV100 GA100
GPU architecture Nvidia Pascal Nvidia Volta Nvidia Ampere
Compute capability 6.0 7.0 8.0
Threads / warp 32 32 32
Max warps / SM 64 64 64
Max threads / SM 2048 2048 2048
Max thread blocks / SM 32 32 32
Max 32-bit registers / SM 65536 65536 65536
Max registers / block 65536 65536 65536
Max registers / thread 255 255 255
Max thread block size 1024 1024 1024
FP32 cores / SM 64 64 64
Ratio of SM registers to FP32 cores 1024 1024 1024
Shared Memory Size / SM 64 KB Configurable up to 96 KB Configurable up to 164 KB

Comparison of Precision Support Matrix[17][18]

Supported CUDA Core Precisions Supported Tensor Core Precisions
FP16 FP32 FP64 INT1 INT4 INT8 TF32 BF16 FP16 FP32 FP64 INT1 INT4 INT8 TF32 BF16
Nvidia Tesla P4 NoYesYesNoNoYesNoNoNoNoNoNoNoNoNoNo
Nvidia P100 YesYesYesNoNoNoNoNoNoNoNoNoNoNoNoNo
Nvidia Volta YesYesYesNoNoYesNoNoYesNoNoNoNoNoNoNo
Nvidia Turing YesYesYesNoNoNoNoNoYesNoNoYesYesYesNoNo
Nvidia A100 YesYesYesNoNoYesNoYesYesNoYesYesYesYesYesYes

Legend:

  • FPnn: floating point with nn bits
  • INTn: integer with n bits
  • INT1: binary
  • TF32: TensorFloat32
  • BF16: bfloat16

Comparison of Decode Performance

Concurrent streams H.264 decode (1080p30) H.265 (HEVC) decode (1080p30) VP9 decode (1080p30)
V100 16 22 22
A100 75 157 108

Products

[edit]

Volta has been announced as the GPU microarchitecture within the Xavier generation of Tegra SoC focusing on self-driving cars.[19][20]

At Nvidia's annual GPU Technology Conference keynote on May 10, 2017, Nvidia officially announced the Volta microarchitecture along with the Tesla V100.[4] The Volta GV100 GPU is built on a 12 nm process size using HBM2 memory with 900 GB/s of bandwidth.[21]

Nvidia officially announced the Nvidia TITAN V on December 7, 2017.[22][23]

Nvidia officially announced the Quadro GV100 on March 27, 2018.[24]

Model Launch Code Name (s) Fab
(nm)		 Transistors
(billion)		 Die size
(mm2)		 Bus Interface Core config SM
Count[a]		 Graphics
Processing
Clusters[b]		 L2 Cache
Size (MiB)		 Clock speeds Fillrate Memory Processing power (GFLOPS) TDP
(Watts)		 NVLink Support Launch Price
(USD)
CUDA
core[c]		 Tensor
core[d]		 Base core
clock (MHz)		 Boost clock
(MHz)		 Memory
(MT/s)		 Pixel
(GP/s)		 Texture
(GT/s)		 Size
(GiB)		 Bandwidth
(GB/s)		 Bus
Type		 Bus width
(bit)		 Single
precision (boost)
 Double
precision (boost)
 Half
precision (boost)
MSRP
Nvidia Titan V[25] December 7, 2017 GV100-400-A1 TSMC 12 nm 21.1 815 PCIe 3.0 ×16 5120:320:96 640 80 6 4.5 1200 1455 1700 139.7 465.6 12 652.8 HBM2 3072 12288 (14899) 6144 (7450) 24576 (29798) 250 No $2,999
Nvidia Quadro GV100[26] March 27, 2018 GV100 5120:320:128 6 1132 1628 1696 208.4 521 32 868.4 4096 11592 (16671) 5796 (8335) 23183 (33341) Yes $8,999
Nvidia Titan V CEO Edition[27][28] June 21, 2018 1200 1455 1700 186.2 465.6 870.4 12288 (14899) 6144 (7450) 24576 (29798) N/A
  1. ↑ One Streaming Multiprocessor encompasses 64 CUDA cores and 4 TMUs.
  2. ↑ One Graphics Processing Cluster encompasses fourteen Streaming Multiprocessors.
  3. ↑ CUDA cores : Texture mapping units : Render output units
  4. ↑ A Tensor core is a mixed-precision FPU specifically designed for matrix arithmetic.

Application

[edit]

Volta is also reported to be included in the Summit and Sierra supercomputers, used for GPGPU compute.[29][30] The Volta GPUs will connect to the POWER9 CPUs via NVLink 2.0, which is expected to support cache coherency and therefore improve GPGPU performance.[31][12][32]

V100 accelerator and DGX V100

[edit]

Starting from P100,[33][34][35] to V100,[36] to A100,[37] to H100,[38] to B200[39][40] and to R100;[41] the comparison of accelerators used in DGX:

General & Architecture

[edit]
Model Architecture Socket GPU Fabrication Process Transistor count

(billion)

 Die size

(mm2)

 Launched
P100 Pascal SXM/SXM2 GP100 TSMC 16FF+ 15.3 610 Q2 2016
V100 16GB Volta SXM2 GV100 TSMC 12FFN 21.1 815 Q3 2017
V100 32GB SXM3
A100 40GB Ampere SXM4 GA100 TSMC N7 54.2 826 Q1 2020
A100 80GB Q4 2020
H100 Hopper SXM5 GH100 TSMC 4N 80 814 Q3 2022
H200 Q3 2023
B100 Blackwell SXM6 GB100 TSMC 4NP 208 N/A Q4 2024
B200
R100 Rubin SXM7N/a TSMC 3N 338N/a H2 2026

Cores, Clock & Power

[edit]
Model Boost clock

(MHz)

 #SM Cores

(FP32 CUDA)

 Cores

(FP64 excl. tensor)

 Cores

(Mixed INT32/FP32)

 Cores

(INT32)

 TDP

(W)

P100 1480 56 3584 1792N/aN/a 300
V100 16GB 1530 80 5120 2560 N/A 5120 300
V100 32GB 350
A100 40GB 1410 108 6912 3456 6912 N/A 400
A100 80GB
H100 1980 132 16896 4608 16896 N/A 700
H200 1000
B100 N/aN/aN/aN/aN/aN/a 700
B200 N/aN/aN/aN/aN/aN/a 1000
R100 N/aN/aN/aN/aN/aN/a 2300

Memory & Cache

[edit]
Model Memory Type

(HBM)

 VRAM Size

(GB)

 Memory Speed

(Gb/s)

 Bus width

(bits)

 Bandwidth

(TB/s)

 L1 Cache

Per SM (KB)

 L1 Cache

Total (KB)

 L2 Cache

(KB)

P100 HBM2 16 1.4 4096 0.72 24 1344 4096
V100 16GB HBM2 16 1.75 4096 0.9 128 10240 6144
V100 32GB 32
A100 40GB HBM2 40 2.4 5120 1.52 192 20736 40960
A100 80GB HBM2e 80 3.2
H100 HBM3 80 5.2 5120 3.35 192 25344 51200
H200 HBM3e 141 6.3 6144 4.8
B100 HBM3e 192 8 8192 8 N/A N/A N/A
B200
R100 HBM4N/aN/aN/aN/aN/aN/aN/a

Compute Performance, Interconnect & Networking

[edit]
Model FP32

(TFLOPS)

 FP64

(TFLOPS)

 INT8

dense tensor

 FP16

dense tensor

 bfloat16

dense tensor

 TF32

dense tensor

 FP64

dense tensor

 Interconnect

(NVLink; TB/s)

 Networking
P100 10.6 5.3N/a 21.2N/aN/aN/a 0.16 ConnectX-4

(100 Gb/s)

V100 16GB 15.7 7.8 N/A 125 TFLOPS N/A N/A N/A 0.3 ConnectX-5

(100 Gb/s)

V100 32GB
A100 40GB 19.5 9.7 624 TOPS 312 TFLOPS 312 TFLOPS 156 TFLOPS 19.5 TFLOPS 0.6 ConnectX-6

(200 Gb/s)

A100 80GB
H100 67 34 1.98 POPS 990 TFLOPS 990 TFLOPS 495 TFLOPS 67 TFLOPS 0.9 ConnectX-7

(400 Gb/s)

H200
B100 N/aN/a 3.5 POPS 1.98 PFLOPS 1.98 PFLOPS 989 TFLOPS 30 TFLOPS 1.8 ConnectX-7

(400 Gb/s)

B200 N/aN/a 4.5 POPS 2.25 PFLOPS 2.25 PFLOPS 1.2 PFLOPS 40 TFLOPS
R100 N/aN/aN/aN/aN/aN/aN/aN/a ConnectX-9

(1600 Gb/s)

See also

[edit]

References

[edit]
  1. ↑ Kampman, Jeffrey (2025-07-31). "Nvidia confirms end of Game Ready driver support for Maxwell and Pascal GPUs — affected products will get optimized drivers through October 2025". Tom's Hardware. Retrieved 2025-08-21.
  2. ↑ "Nvidia Volta Trademark Status". United_States_Patent_and_Trademark_Office. 14 August 2023. Retrieved 14 August 2023.
  3. ↑ Gasior, Geoff (19 March 2013). "Nvidia's Volta GPU to feature on-chip DRAM". The Tech Report. Archived from the original on 1 May 2019. Retrieved 14 March 2017.
  4. 1 2 3 Smith, Ryan (2017-05-10). "The NVIDIA GPU Tech Conference 2017 Keynote Live Blog". Archived from the original on May 10, 2017. Retrieved 2018-11-03.
  5. ↑ "NVIDIA Volta AI Architecture | NVIDIA". NVIDIA. Retrieved 2018-04-11.
  6. ↑ "Volta trademark Cancellation Proceeding". United_States_Patent_and_Trademark_Office.
  7. ↑ "Volta trademark Exparte Appeal Proceeding". United_States_Patent_and_Trademark_Office.
  8. ↑ "Volta Trademark status". United_States_Patent_and_Trademark_Office.
  9. 1 2 Killian, Zak (14 March 2017). "Report: TSMC set to fabricate Volta and Centriq on 12-nm process". The Tech Report. Archived from the original on 14 March 2017. Retrieved 14 March 2017.
  10. ↑ Durant, Luke; Giroux, Olivier; Harris, Mark; Stam, Nick (May 10, 2017). "Inside Volta: The World's Most Advanced Data Center GPU". Nvidia developer blog.
  11. ↑ Gasior, Geoff (March 19, 2013). "Nvidia's Volta GPU to feature on-chip DRAM". The Tech Report. Archived from the original on May 1, 2019. Retrieved March 14, 2017.
  12. 1 2 Shah, Agam (22 August 2016). "Nvidia's NVLink 2.0 will first appear in Power9 servers next year". PC World. Retrieved 14 March 2017.
  13. 1 2 Harris, Mark (May 11, 2017). "CUDA 9 Features Revealed: Volta, Cooperative Groups and More". Retrieved August 12, 2017.
  14. ↑ "NVIDIA Ampere Architecture In-Depth". 14 May 2020.
  15. ↑ "NVIDIA A100 Tensor Core GPU Architecture" (PDF). Retrieved 2023-12-15.
  16. ↑ "NVIDIA A100 Tensor Core GPU Architecture: Unprecedented Acceleration at Every Scale" (PDF). Nvidia. Retrieved September 18, 2020.
  17. ↑ "NVIDIA Tensor Cores: Versatility for HPC & AI". NVIDIA.
  18. ↑ "Abstract". docs.nvidia.com.
  19. ↑ Cutress, Ian; Tallis, Billy (4 January 2016). "CES 2017: Nvidia Keynote Liveblog". AnandTech. Archived from the original on January 5, 2017. Retrieved 9 January 2017.
  20. ↑ "NVIDIA DRIVE Xavier, World's Most Powerful SoC, Brings Dramatic New AI Capabilities | NVIDIA Blog". The Official NVIDIA Blog. 2018-01-07. Retrieved 2018-11-03.
  21. ↑ Smith, Ryan (10 May 2017). "Nvidia Volta Unveiled". AnandTech. Archived from the original on May 11, 2017. Retrieved 2 June 2017.
  22. ↑ "NVIDIA TITAN V Transforms the PC into AI Supercomputer".
  23. ↑ "Introducing NVIDIA TITAN V: The World's Most Powerful PC Graphics Card".
  24. ↑ "NVIDIA Reinvents the Workstation with Real-Time Ray Tracing".
  25. ↑ "Introducing NVIDIA TITAN V: The World's Most Powerful PC Graphics Card". NVIDIA. Retrieved 2017-12-08.
  26. ↑ "NVIDIA Quadro GV100". Retrieved 2018-03-27.
  27. ↑ Smith, Ryan. "NVIDIA Unveils & Gives Away New Limited Edition 32GB Titan V "CEO Edition"". Archived from the original on June 21, 2018. Retrieved 2018-07-06.
  28. ↑ "NVIDIA TITAN V CEO Edition". TechPowerUp. Retrieved 2018-07-07.
  29. ↑ Shankland, Steven (14 September 2015). "IBM, Nvidia land $325M supercomputer deal". CNET. Retrieved 29 December 2015.
  30. ↑ Noyes, Katherine (16 March 2015). "IBM, Nvidia rev HPC engines in next-gen supercomputer push". PC World. Retrieved 29 December 2015.
  31. ↑ Smith, Ryan (17 November 2014). "Nvidia Volta, IBM Power9 Land Contracts for New US Government Supercomputers". Anandtech. Retrieved 14 March 2017.{{cite news}}: CS1 maint: deprecated archival service (link)
  32. ↑ Lilly, Paul (January 25, 2017). "NVIDIA 12nm FinFET Volta GPU Architecture Reportedly Replacing Pascal In 2017". HotHardware.
  33. ↑ "NVIDIA Tesla P100". Nvidia.
  34. ↑ "NVIDIA Tesla P100 SXM2". TechPowerUp.
  35. ↑ "NVIDIA Tesla P100 PCIe 16 GB". TechPowerUp.
  36. ↑ Garreffa, Anthony (September 17, 2017). "NVIDIA Tesla V100 Tested: Near Unbelievable GPU Power". TweakTown.com. Retrieved December 30, 2025.
  37. ↑ Smith, Ryan (May 14, 2020). "NVIDIA Ampere Unleashed: NVIDIA Announces New GPU Architecture, A100 GPU, and Accelerator". AnandTech. Archived from the original on July 29, 2024.
  38. ↑ Smith, Ryan (March 22, 2022). "NVIDIA Hopper GPU Architecture and H100 Accelerator Announced: Working Smarter and Harder". AnandTech. Archived from the original on September 23, 2023.
  39. ↑ "B100 vs B200: Which NVIDIA blackwell GPU is right for your AI workloads? | Blog — Northflank". Northflank — Deploy any project in seconds, in our cloud or yours. Retrieved 2026-06-15.
  40. ↑ "Comparing Blackwell vs Hopper | B200 & B100 vs H200 & H100 | Exxact Blog". www.exxactcorp.com. Retrieved 2026-06-15.
  41. ↑ Mitrasish; Co-founder; CTO; Spheron. "NVIDIA Rubin R100 GPU Chip Specs: Architecture, VRAM, and Cloud Availability (2026) | Spheron Blog". Spheron. Retrieved 2026-06-13.
[edit]
Retrieved from "https://en.wikipedia.org/w/index.php?title=Volta_(microarchitecture)&oldid=1364515325"