AMD Radeon Instinct MI300X vs NVIDIA RTX A5000 Max-Q

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA RTX A5000 Max-Q with 16 GB GDDR6 and 6,144 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms NVIDIA RTX A5000 Max-Q by 852.43% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

94.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX A5000 Max-Q

9.9

NVIDIA RTX A5000 Max-Q

9.9

Contents:

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

Memory

Memory Size

🔥 +1,100% 192 ГБ
16 ГБ

Memory Type

HBM3 GDDR6

Memory Bandwidth

🔥 10.3 TB/s
384.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +3,840% 653.7 TFLOPS
16.59 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +393% 81.72 TFLOPS
16.59 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS
🔥 +317,081% 259,200.0 TFLOPS

CUDA Cores

🔥 +217% 19,456
6,144

RT Cores

No
🔥 48

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ampere

SM (Streaming Multiprocessor)

No
🔥 48

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

No 8.6

Clocks & Performance

Base Clock

🔥 +39% 1,000
720

Boost Clock

🔥 +56% 2,100
1,350

Memory Clock

🔥 +68% 2,525
1,500

Power Consumption

TDP/TGP

750 W
🔥 -89% 80 W

Recommended PSU

1150 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +533% 1,216
192

ROP

No
🔥 48

L2 Cache

16 MB
🔥 4 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

1 983 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

1 740 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 057 tokens/s

MLPerf, llama3.1-405b (UNSET)

30.4 tokens/s

MLPerf, llama3.1-405b (fp16)

34.8 tokens/s

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

232.9 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module No

Release Date

Dec. 6, 2023 April 12, 2021

Display Outputs

No outputs
Portable Device Dependent

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