AMD Radeon Instinct MI250 vs NVIDIA H100 SXM5 96 GB

Comparison of AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs NVIDIA H100 SXM5 96 GB with 96 GB HBM3 and 16,896 cores.

Loading...

Performance Rating

NVIDIA H100 SXM5 96 GB outperforms AMD Radeon Instinct MI250 by 13.85% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI250

50.9

AMD Radeon Instinct MI250

50.9
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA H100 SXM5 96 GB

57.9

NVIDIA H100 SXM5 96 GB

57.9

Expert Comparison

AMD Radeon Instinct MI250 лучше по памяти и TDP, но уступает NVIDIA H100 SXM5 96 GB в количестве ядер, пропускной способности и FP32-производительности. MI250 подходит для задач с меньшими требованиями к вычислительной мощности, в то время как H100 SXM5 более мощный и оптимизирован для передовых вычислений и обработки больших объемов данных.

Contents:

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

Memory

Memory Size

🔥 +33% 128 ГБ
96 ГБ

Memory Type

HBM2e HBM3

Memory Bandwidth

3.28 TB/s
🔥 +2% 3.36 TB/s

Memory Bus Width

8,192 бит 5,120 бит

ML Performance

FP16 (Half Precision)

🔥 +35% 362.1 TFLOPS
267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

45.26 TFLOPS
🔥 +48% 66.91 TFLOPS

FP64 (Double Precision)

🔥 +35% 45.26 TFLOPS
33.45 TFLOPS

CUDA Cores

13,312
🔥 +27% 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 9.0

Clocks & Performance

Base Clock

1,000
🔥 +35% 1,350

Boost Clock

1,700
🔥 +16% 1,980

Memory Clock

🔥 +22% 1,600
1,313

Power Consumption

TDP/TGP

🔥 -29% 500 W
700 W

Recommended PSU

🔥 -18% 900 W
1100 W

Power Connector

2x 8-pin 8-pin EPS

Rendering

Texture Units (TMU)

🔥 +58% 832
528

ROP

No No

L2 Cache

16 MB
🔥 +212% 50 MB

Benchmarks

llama.cpp, llama 7B Q4_0

248.8 tokens/s

llama.cpp, llama-2-7b-Q4_0

63.9 tokens/s
🔥 +339% 280.7 tokens/s

Additional

Slots

Dual-slot
🔥 SXM Module

Release Date

Nov. 8, 2021 March 21, 2023

Display Outputs

No outputs
No outputs

Renting is cheaper than buying