AMD Radeon Instinct MI325X vs AMD Radeon Instinct MI325X

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms AMD Radeon Instinct MI325X by 0.0% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0

Expert Comparison

Обе видеокарты AMD Radeon Instinct MI325X имеют идентичные характеристики: архитектуру CDNA 3.0, количество ядер, объем памяти, шину данных, пропускную способность, частоты, TDP и индекс производительности GPI. Они предназначены для высокопроизводительных вычислений и машинного обучения, обеспечивая равную производительность в этих задачах.

Contents:

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

Memory

Memory Size

🔥 288 ГБ
288 ГБ

Memory Type

HBM3e HBM3e

Memory Bandwidth

🔥 10.3 TB/s
10.3 TB/s

Memory Bus Width

8,192 бит 8,192 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
653.7 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 81.72 TFLOPS
81.72 TFLOPS

FP64 (Double Precision)

🔥 81.72 TFLOPS
81.72 TFLOPS

CUDA Cores

🔥 19,456
19,456

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 CDNA 3.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

🔥 1,000
1,000

Boost Clock

🔥 2,100
2,100

Memory Clock

🔥 2,525
2,525

Power Consumption

TDP/TGP

1000 W 1000 W

Recommended PSU

1400 W 1400 W

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 1,216
1,216

ROP

No No

L2 Cache

🔥 16 MB
16 MB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s 3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s 1 946 tokens/s

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

22.4 tokens/s 22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s 6 975 tokens/s

Additional

Slots

OAM Module OAM Module

Release Date

Oct. 15, 2024 Oct. 15, 2024

Display Outputs

No outputs
No outputs

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