NVIDIA Tesla M10 vs NVIDIA Tesla V100 DGXS 32 GB

VS

NVIDIA Tesla M10

NVIDIA Tesla V100 DGXS 32 GB

We compared two Professional market GPUs: 8GB VRAM Tesla M10 and 32GB VRAM Tesla V100 DGXS 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M10 's Advantages

Lower TDP (225W vs 250W)

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Released 1 years and 10 months late

Boost Clock has increased by 17% (1530MHz vs 1306MHz)

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (897.0GB/s vs 83.20GB/s)

4480 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla M10

1.672 TFLOPS

Tesla V100 DGXS 32 GB +837%

15.67 TFLOPS

Tesla M10

VS

Tesla V100 DGXS 32 GB

Graphics Card

May 2016

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1033 MHz

Base Clock

1297 MHz

1306 MHz

Boost Clock

1530 MHz

1300 MHz

Memory Clock

876 MHz

Memory

8GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

83.20GB/s

Bandwidth

897.0GB/s

Render Config

-

SM Count

80

640

Shading Units

5120

40

TMUs

320

16

ROPs

128

-

Tensor Cores

640

-

64 KB (per SMM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

6 MB

-

Theoretical Performance

20.90 GPixel/s

Pixel Rate

195.8 GPixel/s

52.24 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

1.672 TFLOPS

FP32 (float)

15.67 TFLOPS

52.24 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

225W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

None

Graphics Processor

GM107

GPU Name

GV100

GM107-570-A2

GPU Variant

-

Maxwell

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.87 billion

Transistors

21.1 billion

148 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.0

CUDA

7.0

5.1

Shader Model

6.6

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