AMD Radeon Instinct MI325X vs AXLE GT 1030

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AXLE GT 1030 with 2 GB GDDR5 and 384 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

AXLE GT 1030

0.0

AXLE GT 1030

0.0

Contents:

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

Memory

Memory Size

🔥 +14,300% 288 ГБ
2 ГБ

Memory Type

HBM3e GDDR5

Memory Bandwidth

🔥 10.3 TB/s
48.06 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 +3,610% 653.7 TFLOPS
17.62 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 81.72 TFLOPS
No

FP64 (Double Precision)

🔥 +231,861% 81.72 TFLOPS
0.03523 TFLOPS

CUDA Cores

🔥 +4,967% 19,456
384

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Pascal

SM (Streaming Multiprocessor)

No 3

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x4

ML Software Support

CUDA Version

No 6.1

Clocks & Performance

Base Clock

🔥 1,000
1,228

Boost Clock

🔥 +43% 2,100
1,468

Memory Clock

🔥 +68% 2,525
1,502

Power Consumption

TDP/TGP

1000 W
🔥 -97% 30 W

Recommended PSU

1400 W
🔥 -86% 200 W

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +4,967% 1,216
24

ROP

No No

L2 Cache

🔥 16 MB
512 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 Single-slot

Release Date

Oct. 15, 2024 May 17, 2017

Display Outputs

No outputs
1x DVI
1x HDMI 2.0

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