AMD Radeon RX 580 Mobile vs NVIDIA H200 SXM 141 GB

Comparison AMD Radeon RX 580 Mobile with 8 GB GDDR5 and 2,304 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

NVIDIA H200 SXM 141 GB outperforms AMD Radeon RX 580 Mobile by 1,492.91% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon RX 580 Mobile

4.2

AMD Radeon RX 580 Mobile

4.2
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA H200 SXM 141 GB

67.4

NVIDIA H200 SXM 141 GB

67.4

Expert Comparison

Видеокарта NVIDIA H200 SXM значительно превосходит AMD Radeon RX 580 Mobile в количестве ядер, объеме памяти и пропускной способности. Она предназначена для вычислительных задач высокой сложности, таких как машинное обучение и big data анализ. В то время как RX 580 Mobile больше подходит для игр и базовых вычислений, H200 SXM ориентирована на передовые научные исследования и коммерческие приложения.

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks Additional

Memory

Memory Size

8 GB
🔥 +1,662% 141 ГБ

Memory Type

GDDR5 HBM3e

Memory Bandwidth

256.0 GB/s
🔥 4.89 TB/s

Memory Bus Width

256 бит 6,144 бит

ML Performance

FP16 (Half Precision)

4.963 TFLOPS
🔥 +5,292% 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

4.963 TFLOPS
🔥 +1,248% 66.91 TFLOPS

FP64 (Double Precision)

0.3102 TFLOPS
🔥 +10,683% 33.45 TFLOPS

CUDA Cores

2,304
🔥 +633% 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

GCN 4.0 Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

MXM-B (3.0) PCIe 5.0 x16

ML Software Support

CUDA Version

No 9.0

CUDA Toolkit (first supported)

v12

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

1,000
🔥 +50% 1,500

Boost Clock

1,077
🔥 +84% 1,980

Memory Clock

2,000
🔥 1,593

Power Consumption

Recommended PSU

No 1100 W

Power Connector

None 8-pin EPS

TDP/TGP

🔥 -86% 100 W
700 W

Rendering

Texture Units (TMU)

144
🔥 +267% 528

ROP

No No

L2 Cache

2 MB
🔥 +2,400% 50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

3 534 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

3 553 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

2 444 tokens/s

MLPerf, llama3.1-405b (fp16)

40.8 tokens/s

MLPerf, llama3.1-405b (fp8)

25.3 tokens/s

MLPerf, llama3.1-8b (fp8)

5 161 tokens/s

MLPerf, deepseek-r1 (fp8)

1 113 tokens/s

MLPerf, mixtral-8x7b (fp8)

7 132 tokens/s

Additional

Slots

MXM Module
🔥 SXM Module

Release Date

April 18, 2017 Nov. 18, 2024

Display Outputs

Portable Device Dependent
No outputs

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