NVIDIA A10M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA A10M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 24GB VRAM A10M and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA A10M 's Advantages

Released 3 years and 11 months late

Boost Clock has increased by 27% (1635MHz vs 1290MHz)

More VRAM (24GB vs 16GB)

2048 additional rendering cores

Lower TDP (150W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Larger VRAM bandwidth (829.4GB/s vs 600.2GB/s)

Score

Benchmark

FP32 (float)

A10M +77%

23.44 TFLOPS

Tesla V100 FHHL

13.21 TFLOPS

A10M

VS

Tesla V100 FHHL

Graphics Card

Feb 2022

Release Date

Mar 2018

Tesla Ampere

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

975 MHz

Base Clock

937 MHz

1635 MHz

Boost Clock

1290 MHz

1563 MHz

Memory Clock

810 MHz

Memory

24GB

Memory Size

16GB

GDDR6

Memory Type

HBM2

384bit

Memory Bus

4096bit

600.2GB/s

Bandwidth

829.4GB/s

Render Config

-

56

SM Count

80

7168

Shading Units

5120

224

TMUs

320

80

ROPs

128

224

Tensor Cores

640

56

RT Cores

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

6 MB

L2 Cache

6 MB

-

Theoretical Performance

130.8 GPixel/s

Pixel Rate

165.1 GPixel/s

366.2 GTexel/s

Texture Rate

412.8 GTexel/s

23.44 TFLOPS

FP16 (half)

26.42 TFLOPS

23.44 TFLOPS

FP32 (float)

13.21 TFLOPS

732.5 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

150W

TDP

250W

450 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

1x 8-pin

Graphics Processor

GA102

GPU Name

GV100

-

Ampere

Architecture

Volta

Samsung

Foundry

TSMC

8 nm

Process Size

12 nm

28.3 billion

Transistors

21.1 billion

628 mm²

Die Size

815 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

8.6

CUDA

7.0

6.7

Shader Model

6.6

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