NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA GRID M6 8Q

VS

NVIDIA Tesla V100 SXM2 16 GB NVIDIA GRID M6 8Q

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 8GB VRAM GRID M6 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 4 years and 3 months late

Boost Clock1597MHz

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 160.4GB/s)

3584 additional rendering cores

NVIDIA GRID M6 8Q 's Advantages

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +637%

16.35 TFLOPS

GRID M6 8Q

2.218 TFLOPS

Tesla V100 SXM2 16 GB

VS

GRID M6 8Q

Graphics Card

Nov 2019

Release Date

Aug 2015

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

1253 MHz

Memory

16GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

1133GB/s

Bandwidth

160.4GB/s

Render Config

80

SM Count

-

Compute Units

-

5120

Shading Units

1536

320

TMUs

96

128

ROPs

64

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SMM)

6 MB

L2 Cache

2 MB

Theoretical Performance

204.4 GPixel/s

Pixel Rate

46.21 GPixel/s

511.0 GTexel/s

Texture Rate

69.31 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

2.218 TFLOPS

8.177 TFLOPS

FP64 (double)

69.31 GFLOPS

Graphics Processor

GV100

GPU Name

GM204

-

GPU Variant

GM204-995-A1

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

Board Design

250W

TDP

100W

600 W

Suggested PSU

300 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

7.0

CUDA

5.2

6.6

Shader Model

6.4

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