NVIDIA Tesla V100 FHHL vs NVIDIA Tesla V100 SXM2 32 GB

VS

NVIDIA Tesla V100 FHHL

NVIDIA Tesla V100 SXM2 32 GB

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 32 GB 's Advantages

Boost Clock has increased by 19% (1530MHz vs 1290MHz)

More VRAM (32GB vs 16GB)

Larger VRAM bandwidth (897.0GB/s vs 829.4GB/s)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL

13.21 TFLOPS

Tesla V100 SXM2 32 GB +18%

15.67 TFLOPS

Tesla V100 FHHL

VS

Tesla V100 SXM2 32 GB

Graphics Card

Mar 2018

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

937 MHz

Base Clock

1290 MHz

Boost Clock

1530 MHz

810 MHz

Memory Clock

876 MHz

Memory

16GB

Memory Size

32GB

HBM2

Memory Type

HBM2

4096bit

Memory Bus

4096bit

829.4GB/s

Bandwidth

897.0GB/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

165.1 GPixel/s

Pixel Rate

195.8 GPixel/s

412.8 GTexel/s

Texture Rate

489.6 GTexel/s

26.42 TFLOPS

FP16 (half)

31.33 TFLOPS

13.21 TFLOPS

FP32 (float)

15.67 TFLOPS

6.605 TFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

250W

TDP

250W

600 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

None

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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