AMD Radeon Instinct MI325X vs NVIDIA GeForce 8400M GT

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA GeForce 8400M GT with 256 GB GDDR3 and 16 cores.

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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

NVIDIA GeForce 8400M GT

NVIDIA GeForce 8400M GT

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит NVIDIA GeForce 8400M GT по всем параметрам. MI325X имеет гораздо больше ядер (19456 против 16), большую память (288 ГБ HBM3e против 256 ГБ GDDR3) и гораздо большую пропускную способность (10.3 TB/s против 19.26 GB/s). Кроме того, MI325X предназначен для вычислений и обработки больших данных, тогда как 8400M GT устарел и предназначен для базовых задач графики и игр.

Contents:

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

Memory

Memory Size

🔥 +12% 288 ГБ
256 MB

Memory Type

HBM3e GDDR3

Memory Bandwidth

🔥 10.3 TB/s
19.26 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +283,650% 81.72 TFLOPS
0.0288 TFLOPS

FP64 (Double Precision)

🔥 81.72 TFLOPS
No

CUDA Cores

🔥 +121,500% 19,456
16

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Tesla

SM (Streaming Multiprocessor)

No 2

PCIe Version

PCIe 5.0 x16 PCIe 1.0 x16

ML Software Support

CUDA Version

No 1.1

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +319% 2,525
602

Power Consumption

TDP/TGP

1000 W
🔥 -99% 14 W

Recommended PSU

1400 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +15,100% 1,216
8

ROP

No No

L2 Cache

🔥 16 MB
32 KB

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

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module MXM Module

Release Date

Oct. 15, 2024 May 9, 2007

Display Outputs

No outputs
Portable Device Dependent

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