AMD Radeon Instinct MI325X vs NVIDIA GRID RTX T10-4

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA GRID RTX T10-4 with 4 GB GDDR6 and 3,584 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI325X

AMD Radeon Instinct MI325X

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

NVIDIA GRID RTX T10-4

7.1

NVIDIA GRID RTX T10-4

7.1

Contents:

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

Memory

Memory Size

288 GB
🔥 4 ГБ

Memory Type

HBM3e GDDR6

Memory Bandwidth

10.3 TB/s 672.0 GB/s

Memory Bus Width

8,192 бит 384 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS
🔥 20.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS
🔥 9.999 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS
🔥 0.3125 TFLOPS

CUDA Cores

19,456
🔥 3,584

RT Cores

No
🔥 56

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Turing

SM (Streaming Multiprocessor)

No
🔥 56

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 7.5

Clocks & Performance

Base Clock

1,000
🔥 +6% 1,065

Boost Clock

2,100
🔥 1,395

Memory Clock

2,525
🔥 1,750

Power Consumption

TDP/TGP

1000 W
🔥 -85% 150 W

Recommended PSU

1400 W
🔥 -68% 450 W

Power Connector

None 1x 6-pin + 1x 8-pin

Rendering

Texture Units (TMU)

1,216
🔥 224

ROP

No
🔥 56

L2 Cache

16 MB
🔥 6 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

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module Dual-slot

Release Date

Oct. 12, 2024 July 17, 2020

Display Outputs

No outputs
No outputs

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