NVIDIA A10M vs NVIDIA Tesla PG500 216

VS

We compared two Professional market GPUs: 24GB VRAM A10M and 32GB VRAM Tesla PG500 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA A10M 's Advantages

Released 2 years and 3 months late

Boost Clock has increased by 18% (1635MHz vs 1380MHz)

2048 additional rendering cores

Lower TDP (150W vs 250W)

NVIDIA Tesla PG500 216 's Advantages

More VRAM (32GB vs 24GB)

Larger VRAM bandwidth (1133GB/s vs 600.2GB/s)

Score

Benchmark

FP32 (float)

A10M +65%

23.44 TFLOPS

Tesla PG500 216

14.13 TFLOPS

A10M

VS

Tesla PG500 216

Graphics Card

Feb 2022

Release Date

Nov 2019

Tesla Ampere

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

975 MHz

Base Clock

1260 MHz

1635 MHz

Boost Clock

1380 MHz

1563 MHz

Memory Clock

1106 MHz

Memory

24GB

Memory Size

32GB

GDDR6

Memory Type

HBM2

384bit

Memory Bus

4096bit

600.2GB/s

Bandwidth

1133GB/s

Render Config

56

SM Count

80

-

Compute Units

-

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

176.6 GPixel/s

366.2 GTexel/s

Texture Rate

441.6 GTexel/s

23.44 TFLOPS

FP16 (half)

28.26 TFLOPS

23.44 TFLOPS

FP32 (float)

14.13 TFLOPS

732.5 GFLOPS

FP64 (double)

7.066 TFLOPS

Graphics Processor

GA102

GPU Name

GV100

-

GPU Variant

-

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

Board Design

150W

TDP

250W

450 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

None

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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