NVIDIA Tesla M6 vs NVIDIA Tesla V100 FHHL

VS

We compared two Professional market GPUs: 8GB VRAM Tesla M6 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 M6 's Advantages

Lower TDP (100W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 2 years and 7 months late

Boost Clock has increased by 9% (1290MHz vs 1180MHz)

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (829.4GB/s vs 160.4GB/s)

3584 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla M6

3.625 TFLOPS

Tesla V100 FHHL +264%

13.21 TFLOPS

Tesla M6

VS

Tesla V100 FHHL

Graphics Card

Aug 2015

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

930 MHz

Base Clock

937 MHz

1180 MHz

Boost Clock

1290 MHz

1253 MHz

Memory Clock

810 MHz

Memory

8GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.4GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

-

Compute Units

-

1536

Shading Units

5120

96

TMUs

320

64

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

48 KB (per SMM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

6 MB

Theoretical Performance

75.52 GPixel/s

Pixel Rate

165.1 GPixel/s

113.3 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

3.625 TFLOPS

FP32 (float)

13.21 TFLOPS

113.3 GFLOPS

FP64 (double)

6.605 TFLOPS

Graphics Processor

GM204

GPU Name

GV100

GM204-995-A1

GPU Variant

-

Maxwell 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

5.2 billion

Transistors

21.1 billion

398 mm²

Die Size

815 mm²

Board Design

100W

TDP

250W

300 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.2

CUDA

7.0

6.4

Shader Model

6.6

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