AMD Radeon Instinct MI250 vs AMD Radeon Instinct MI325X

Comparison of AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 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 MI250 by 96.5% 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

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0

Expert Comparison

AMD Radeon Instinct MI325X лучше по многим параметрам: у него больше ядер (19456 против 13312), больше памяти (288 ГБ против 128 ГБ) и значительно большая пропускная способность (10.3 TB/s против 3.28 TB/s). Также MI325X имеет более высокую частоту boost (2100 МГц против 1700 МГц) и более высокий GPI (100.0 против 50.9). Он лучше подходит для вычислительных задач 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

128 ГБ
🔥 +125% 288 ГБ

Memory Type

HBM2e HBM3e

Memory Bandwidth

3.28 TB/s
🔥 +214% 10.3 TB/s

Memory Bus Width

8,192 бит 8,192 бит

ML Performance

FP16 (Half Precision)

362.1 TFLOPS
🔥 +81% 653.7 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

45.26 TFLOPS
🔥 +81% 81.72 TFLOPS

FP64 (Double Precision)

45.26 TFLOPS
🔥 +81% 81.72 TFLOPS

CUDA Cores

13,312
🔥 +46% 19,456

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 CDNA 3.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

1,000 1,000

Boost Clock

1,700
🔥 +24% 2,100

Memory Clock

1,600
🔥 +58% 2,525

Power Consumption

TDP/TGP

🔥 -50% 500 W
1000 W

Recommended PSU

🔥 -36% 900 W
1400 W

Power Connector

2x 8-pin None

Rendering

Texture Units (TMU)

832
🔥 +46% 1,216

ROP

No No

L2 Cache

16 MB 16 MB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s

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

🔥 +185% 63.9 tokens/s
22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

Dual-slot OAM Module

Release Date

Nov. 8, 2021 Oct. 15, 2024

Display Outputs

No outputs
No outputs

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