NVIDIA RTX PRO 6000 Blackwell Max-Q vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of NVIDIA RTX PRO 6000 Blackwell Max-Q with 96 GB GDDR7 and 24,064 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

NVIDIA RTX PRO 6000 Blackwell Server outperforms NVIDIA RTX PRO 6000 Blackwell Max-Q by 7.7% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA RTX PRO 6000 Blackwell Max-Q

53.4

NVIDIA RTX PRO 6000 Blackwell Max-Q

53.4
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX PRO 6000 Blackwell Server

57.5

NVIDIA RTX PRO 6000 Blackwell Server

57.5

Contents:

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

Memory

Memory Size

96 ГБ 96 ГБ

Memory Type

GDDR7 GDDR7

Memory Bandwidth

1.79 TB/s 1.79 TB/s

Memory Bus Width

512 бит 512 бит

ML Performance

FP16 (Half Precision)

110.1 TFLOPS
🔥 +14% 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

110.1 TFLOPS
🔥 +14% 126.0 TFLOPS

FP64 (Double Precision)

1.721 TFLOPS
🔥 +14% 1.968 TFLOPS

CUDA Cores

24,064 24,064

RT Cores

188 188

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Blackwell 2.0

SM (Streaming Multiprocessor)

188 188

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

12.0 12.0

Clocks & Performance

Base Clock

1,590 1,590

Boost Clock

2,288
🔥 +14% 2,617

Memory Clock

1,750 1,750

Power Consumption

TDP/TGP

🔥 -50% 300 W
600 W

Recommended PSU

🔥 -30% 700 W
1000 W

Power Connector

1x 16-pin 1x 16-pin

Rendering

Texture Units (TMU)

752 752

ROP

188 188

L2 Cache

128 MB 128 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp4)

3 250 tokens/s

MLPerf, llama3.1-8b (fp4)

5 758 tokens/s

llama.cpp, llama 7B Q4_0

270.0 tokens/s

Geekbench AI, FP16

🔥 +9% 58 178 points
53 322 points

Geekbench AI, INT8

🔥 +3% 29 188 points
28 264 points

Geekbench AI, FP32

🔥 +5% 39 339 points
37 299 points

MLPerf, mixtral-8x7b (fp8)

3 767 tokens/s

Additional

Slots

Dual-slot Dual-slot

Release Date

March 18, 2025 March 18, 2025

Display Outputs

4x DisplayPort 2.1b
4x DisplayPort 2.1b

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