NVIDIA Tesla V100 SXM2 32GB Professional Graphics Card

Product status: Official | Last Update: 2020-05-19 | Report Error
Overview
Manufacturer
NVIDIA
Original Series
Tesla Volta
Release Date
March 27th, 2018
Graphics Processing Unit
GPU Model
GV100
Architecture
Volta
Fabrication Process
12 nm FinFET ()
Die Size
815 mm2
Transistors Count
21.1B
Transistors Density
25.9M TRAN/mm2
CUDAs
5120
Tensor Cores
640
SM
80
GPCs
6
TMUs
320
Clocks
Base Clock
1533 MHz
Boost Clock
1533 MHz
Memory Clock
880 MHz
Effective Memory Clock
1760 Mbps
Memory Configuration
Memory Size
32768 MB
Memory Type
HBM2
Memory Bus Width
4096-bit
Memory Bandwidth
901.1 GB/s
Physical
Interface
SXM 2.0
TDP/TBP
300 W
Recommended PSU
600 W
API Support
DirectX
12.0
Vulkan
1.0
OpenGL
4.5
OpenCL
2.1

Performance
Texture Fillrate
490.6 GTexel/s
FP16 Performance
31.4 TFLOPS
FP32 Performance
15.7 TFLOPS
FP64 Performance
7.8 TFLOPS
FP32 Perf. per Watt
52.3 GFLOPS/W
FP32 Perf. per mm2
19.3 GFLOPS/mm2




 ModelCoresBoost ClockMemory ClockMemory Config.
NVIDIA DGX-2
 
81920
 
1455 MHz
 
1.8 Gbps
 
8192 GB HB2 4096b
NVIDIA HGX-2
 
81920
 
1455 MHz
 
1.8 Gbps
 
4096 GB HB2 4096b
NVIDIA DGX-1V
 
40960
 
1455 MHz
 
1.8 Gbps
 
1024 GB HB2 4096b
NVIDIA HGX-1
 
40960
 
1455 MHz
 
1.8 Gbps
 
1024 GB HB2 4096b
Thumbnail
NVIDIA DGX Station
 
20480
 
1455 MHz
 
1.8 Gbps
 
256 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100S PCIe 32GB
 
5120
 
1600 MHz
 
2.2 Gbps
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 SXM2 32GB
 
5120
 
1533 MHz
 
1.8 Gbps
 
32 GB HB2 4096b
NVIDIA Tesla V100 SXM3 350W
 
5120
 
1533 MHz
 
1.8 Gbps
 
32 GB HB2 4096b
NVIDIA Tesla V100 SXM3 450W
 
5120
 
1533 MHz
 
1.8 Gbps
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 PCIe 32GB
 
5120
 
1367 MHz
 
1.8 Gbps
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 SXM2
 
5120
 
1533 MHz
 
1.8 Gbps
 
16 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 PCIe
 
5120
 
1368 MHz
 
1.8 Gbps
 
16 GB HB2 4096b
NVIDIA Tesla V100 FHHL PCIe
 
5120
 
1367 MHz
 
1.8 Gbps
 
16 GB HB2 4096b
 ModelCoresBoost ClockMemory ClockMemory Config.
Thumbnail
NVIDIA DGX-2
 
81920
 
1455 MHz
 
1.8 GB/s
 
8192 GB HB2 4096b
Thumbnail
NVIDIA HGX-2
 
81920
 
1455 MHz
 
1.8 GB/s
 
4096 GB HB2 4096b
Thumbnail
NVIDIA DGX-1V
 
40960
 
1455 MHz
 
1.8 GB/s
 
1024 GB HB2 4096b
Thumbnail
NVIDIA HGX-1
 
40960
 
1455 MHz
 
1.8 GB/s
 
1024 GB HB2 4096b
Thumbnail
NVIDIA DGX Station
 
20480
 
1455 MHz
 
1.8 GB/s
 
256 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100S PCIe 32GB
 
5120
 
1600 MHz
 
2.2 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 SXM2 32GB
 
5120
 
1533 MHz
 
1.8 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 SXM3 350W
 
5120
 
1533 MHz
 
1.8 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 SXM3 450W
 
5120
 
1533 MHz
 
1.8 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA Quadro GV100
 
5120
-
 
1.7 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 PCIe 32GB
 
5120
 
1367 MHz
 
1.8 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA TITAN V CEO Edition
 
5120
 
1455 MHz
 
1.7 GB/s
 
32 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 SXM2
 
5120
 
1533 MHz
 
1.8 GB/s
 
16 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 PCIe
 
5120
 
1368 MHz
 
1.8 GB/s
 
16 GB HB2 4096b
Thumbnail
NVIDIA Tesla V100 FHHL PCIe
 
5120
 
1367 MHz
 
1.8 GB/s
 
16 GB HB2 4096b
Thumbnail
NVIDIA TITAN V
 
5120
 
1455 MHz
 
1.7 GB/s
 
12 GB HB2 3072b

WELCOME TO THE ERA OF AI
Every industry wants intelligence. Within their ever-growing lakes of data lie insights that can provide the opportunity to revolutionize entire industries: personalized cancer therapy, predicting the next big hurricane, and virtual personal assistants conversing naturally. These opportunities can become a reality when data scientists are given the tools they need to realize their life’s work.

NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta™, the latest GPU architecture, Tesla V100 offers the performance of 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once impossible.

AI TRAINING
From recognizing speech to training virtual personal assistants and teaching autonomous cars to drive, data scientists are taking on increasingly complex challenges with AI. Solving these kinds of problems requires training deep learning models that are exponentially growing in complexity, in a practical amount of time.
With 640 Tensor Cores, Tesla V100 is the world’s first GPU to break the 100 teraflops (TFLOPS) barrier of deep learning performance. The next generation of NVIDIA NVLink™ connects multiple V100 GPUs at up to 300 GB/s to create the world’s most powerful computing servers. AI models that would consume weeks of computing resources on previous systems can now be trained in a few days. With this dramatic reduction in training time, a whole new world of problems will now be solvable with AI.

AI INFERENCE
To connect us with the most relevant information, services, and products, hyperscale companies have started to tap into AI. However, keeping up with user demand is a daunting challenge. For example, the world’s largest hyperscale company recently estimated that they would need to double their data center capacity if every user spent just three minutes a day using their speech recognition service.
Tesla V100 is engineered to provide maximum performance in existing hyperscale server racks. With AI at its core, Tesla V100 GPU delivers 30X higher inference performance than a CPU server. This giant leap in throughput and efficiency will make the scale-out of AI services practical.

HIGH PERFORMANCE COMPUTING (HPC)
HPC is a fundamental pillar of modern science. From predicting weather to discovering drugs to finding new energy sources, researchers use large computing systems to simulate and predict our world. AI extends traditional HPC by allowing researchers to analyze large volumes of data for rapid insights where simulation alone cannot fully predict the real world.
Tesla V100 is engineered for the convergence of AI and HPC. It offers a platform for HPC systems to excel at both computational science for scientific simulation and data science for finding insights in data. By pairing NVIDIA CUDA® cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU-only servers for both traditional HPC and AI workloads. Every researcher and engineer can now afford an AI supercomputer to tackle their most challenging work.