AMD Radeon Instinct MI325X vs NVIDIA RTX PRO 6000D Blackwell Max-Q

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA RTX PRO 6000D Blackwell Max-Q with 96 GB GDDR7 and 24,064 cores.

Loading...

Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0
MI250 MI250
Instinct MI300X Instinct MI300X
RX 7900 XTX RX 7900 XTX

NVIDIA RTX PRO 6000D Blackwell Max-Q

NVIDIA RTX PRO 6000D Blackwell Max-Q

Contents:

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

Memory

Memory Size

🔥 +200% 288 ГБ
96 GB

Memory Type

HBM3e GDDR7

Memory Bandwidth

🔥 +475% 10.3 TB/s
1.79 TB/s

Memory Bus Width

8,192 бит 512 бит

ML Performance

FP16 (Half Precision)

🔥 +494% 653.7 TFLOPS
110.1 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 81.72 TFLOPS
110.1 TFLOPS

FP64 (Double Precision)

🔥 +4,648% 81.72 TFLOPS
1.721 TFLOPS

CUDA Cores

🔥 19,456
24,064

RT Cores

No 188

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 188

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

🔥 1,000
1,590

Boost Clock

🔥 2,100
2,288

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

TDP/TGP

1000 W
🔥 -70% 300 W

Recommended PSU

1400 W
🔥 -50% 700 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

🔥 +62% 1,216
752

ROP

No 188

L2 Cache

🔥 16 MB
128 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. 15, 2024 March 18, 2025

Display Outputs

No outputs
4x DisplayPort 2.1b

Renting is cheaper than buying