NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 1 years and 8 months late

Boost Clock has increased by 24% (1597MHz vs 1290MHz)

Larger VRAM bandwidth (1133GB/s vs 829.4GB/s)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +23%

16.35 TFLOPS

Tesla V100 FHHL

13.21 TFLOPS

Tesla V100 SXM2 16 GB

VS

Tesla V100 FHHL

Graphics Card

Nov 2019

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1245 MHz

Base Clock

937 MHz

1597 MHz

Boost Clock

1290 MHz

1106 MHz

Memory Clock

810 MHz

Memory

16GB

Memory Size

16GB

HBM2

Memory Type

HBM2

4096bit

Memory Bus

4096bit

1133GB/s

Bandwidth

829.4GB/s

Render Config

-

80

SM Count

80

5120

Shading Units

5120

320

TMUs

320

128

ROPs

128

640

Tensor Cores

640

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

6 MB

L2 Cache

6 MB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

165.1 GPixel/s

511.0 GTexel/s

Texture Rate

412.8 GTexel/s

32.71 TFLOPS

FP16 (half)

26.42 TFLOPS

16.35 TFLOPS

FP32 (float)

13.21 TFLOPS

8.177 TFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

250W

TDP

250W

600 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Processor

GV100

GPU Name

GV100

-

Volta

Architecture

Volta

TSMC

Foundry

TSMC

12 nm

Process Size

12 nm

21.1 billion

Transistors

21.1 billion

815 mm²

Die Size

815 mm²

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

7.0

6.6

Shader Model

6.6

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