AMD Radeon Instinct MI300X vs NVIDIA RTX PRO 5000 Blackwell

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA RTX PRO 5000 Blackwell with 48 GB GDDR7 and 14,080 cores.

Loading...

Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI300X

AMD Radeon Instinct MI300X

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

NVIDIA RTX PRO 5000 Blackwell

NVIDIA RTX PRO 5000 Blackwell

Contents:

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

Memory

Memory Size

192 GB 48 GB

Memory Type

HBM3 GDDR7

Memory Bandwidth

10.3 TB/s 1.34 TB/s

Memory Bus Width

8,192 бит 384 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 66.94 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 66.94 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 1.0459 TFLOPS

CUDA Cores

19,456 14,080

RT Cores

No 110

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 110

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

1,000 1,740

Boost Clock

2,100 2,377

Memory Clock

2,525 1,750

Power Consumption

TDP/TGP

750 W
🔥 -60% 300 W

Recommended PSU

1150 W
🔥 -39% 700 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

1,216 440

ROP

No 110

L2 Cache

16 MB 96 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 Dual-slot

Release Date

Dec. 6, 2023 March 18, 2025

Display Outputs

No outputs
4x DisplayPort 2.1b

Renting is cheaper than buying