NVIDIA Tesla V100 FHHL vs NVIDIA GRID M40

VS

NVIDIA Tesla V100 FHHL

NVIDIA GRID M40

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 8GB VRAM GRID M40 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 1 years and 10 months late

Boost Clock1290MHz

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (829.4GB/s vs 83.20GB/s)

4736 additional rendering cores

NVIDIA GRID M40 's Advantages

Lower TDP (50W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +1565%

13.21 TFLOPS

GRID M40

0.793 TFLOPS

Tesla V100 FHHL

VS

GRID M40

Graphics Card

Mar 2018

Release Date

May 2016

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

1300 MHz

Memory

16GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

128bit

829.4GB/s

Bandwidth

83.20GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

384

320

TMUs

32

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

16.53 GPixel/s

412.8 GTexel/s

Texture Rate

33.06 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

793.3 GFLOPS

6.605 TFLOPS

FP64 (double)

24.79 GFLOPS

Board Design

250W

TDP

50W

600 W

Suggested PSU

250 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GV100

GPU Name

GM107

-

Volta

Architecture

Maxwell

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.87 billion

815 mm²

Die Size

148 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

5.0

6.6

Shader Model

5.1

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