NVIDIA Tesla V100 DGXS 32 GB vs NVIDIA GRID M60 8Q

VS

NVIDIA Tesla V100 DGXS 32 GB

NVIDIA GRID M60 8Q

We compared two Professional market GPUs: 32GB VRAM Tesla V100 DGXS 32 GB and 8GB VRAM GRID M60 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Released 2 years and 7 months late

Boost Clock has increased by 30% (1530MHz vs 1178MHz)

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (897.0GB/s vs 160.4GB/s)

3072 additional rendering cores

NVIDIA GRID M60 8Q 's Advantages

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 32 GB +224%

15.67 TFLOPS

GRID M60 8Q

4.825 TFLOPS

Tesla V100 DGXS 32 GB

VS

GRID M60 8Q

Graphics Card

Mar 2018

Release Date

Aug 2015

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1297 MHz

Base Clock

557 MHz

1530 MHz

Boost Clock

1178 MHz

876 MHz

Memory Clock

1253 MHz

Memory

32GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

897.0GB/s

Bandwidth

160.4GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

2048

320

TMUs

128

ROPs

64

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

75.39 GPixel/s

489.6 GTexel/s

Texture Rate

150.8 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

4.825 TFLOPS

7.834 TFLOPS

FP64 (double)

150.8 GFLOPS

Board Design

250W

TDP

225W

600 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Processor

GV100

GPU Name

GM204

-

Volta

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

5.2 billion

815 mm²

Die Size

398 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

5.2

6.6

Shader Model

6.4

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