NVIDIA GRID M6 8Q vs NVIDIA Tesla V100 DGXS 32 GB

VS

NVIDIA GRID M6 8Q NVIDIA Tesla V100 DGXS 32 GB

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

Lower TDP (100W vs 250W)

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Released 2 years and 7 months late

Boost Clock1530MHz

More VRAM (32GB vs 8GB)

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

3584 additional rendering cores

Score

Benchmark

FP32 (float)

GRID M6 8Q

2.218 TFLOPS

Tesla V100 DGXS 32 GB +606%

15.67 TFLOPS

GRID M6 8Q

VS

Tesla V100 DGXS 32 GB

Graphics Card

Aug 2015

Release Date

Mar 2018

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1297 MHz

-

Boost Clock

1530 MHz

1253 MHz

Memory Clock

876 MHz

Memory

8GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.4GB/s

Bandwidth

897.0GB/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

46.21 GPixel/s

Pixel Rate

195.8 GPixel/s

69.31 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

2.218 TFLOPS

FP32 (float)

15.67 TFLOPS

69.31 GFLOPS

FP64 (double)

7.834 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

None

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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