Intel Arctic Sound-M vs NVIDIA Tesla V100 SXM2 16 GB

VS

Intel Arctic Sound-M

NVIDIA Tesla V100 SXM2 16 GB

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

Main Differences

Intel Arctic Sound-M 's Advantages

Released 2 years and 2 months late

Larger VRAM bandwidth (1229GB/s vs 1133GB/s)

3072 additional rendering cores

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Boost Clock1597MHz

Lower TDP (250W vs 500W)

Score

Benchmark

FP32 (float)

Arctic Sound M

14.75 TFLOPS

Tesla V100 SXM2 16 GB +10%

16.35 TFLOPS

Arctic Sound M

VS

Tesla V100 SXM2 16 GB

Graphics Card

Jan 2022

Release Date

Nov 2019

Data Center GPU

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

1200 MHz

Memory Clock

1106 MHz

Memory

16GB

Memory Size

16GB

HBM2e

Memory Type

HBM2

4096bit

Memory Bus

4096bit

1229GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

8192

Shading Units

5120

256

TMUs

320

128

ROPs

128

-

Tensor Cores

640

-

L1 Cache

128 KB (per SM)

8 MB

L2 Cache

6 MB

-

Theoretical Performance

115.2 GPixel/s

Pixel Rate

204.4 GPixel/s

230.4 GTexel/s

Texture Rate

511.0 GTexel/s

29.49 TFLOPS

FP16 (half)

32.71 TFLOPS

14.75 TFLOPS

FP32 (float)

16.35 TFLOPS

3.686 TFLOPS

FP64 (double)

8.177 TFLOPS

Board Design

500W

TDP

250W

900 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

None

Graphics Processor

Arctic Sound

GPU Name

GV100

-

Generation 12.5

Architecture

Volta

Intel

Foundry

TSMC

10 nm

Process Size

12 nm

8 billion

Transistors

21.1 billion

190 mm²

Die Size

815 mm²

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

N/A

Vulkan

1.3

-

CUDA

7.0

6.6

Shader Model

6.6

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