NVIDIA Quadro M6000 24 GB vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of NVIDIA Quadro M6000 24 GB with 24 GB GDDR5 and 3,072 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA Quadro M6000 24 GB

6.5

NVIDIA Quadro M6000 24 GB

6.5
MI250 MI250
Instinct MI300X Instinct MI300X
RX 7900 XTX RX 7900 XTX

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

Contents:

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

Memory

Memory Size

24 ГБ 96 GB

Memory Type

GDDR5 GDDR7

Memory Bandwidth

317.4 GB/s 1.79 TB/s

Memory Bus Width

384 бит 512 бит

ML Performance

FP16 (Half Precision)

No 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

6.844 TFLOPS 126.0 TFLOPS

FP64 (Double Precision)

0.2139 TFLOPS 1.968 TFLOPS

CUDA Cores

3,072 24,064

RT Cores

No 188

Architecture & Compatibility

GPU Architecture

Maxwell 2.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 188

PCIe Version

PCIe 3.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

5.2
🔥 12.0

Clocks & Performance

Base Clock

988 1,590

Boost Clock

1,114 2,617

Memory Clock

1,653 1,750

Power Consumption

TDP/TGP

🔥 -58% 250 W
600 W

Recommended PSU

🔥 -40% 600 W
1000 W

Power Connector

1x 8-pin 1x 16-pin

Rendering

Texture Units (TMU)

192 752

ROP

No 188

L2 Cache

3 MB 128 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp4)

3 250 tokens/s

MLPerf, llama3.1-8b (fp4)

5 758 tokens/s

Geekbench AI, FP16

53 322 points

Geekbench AI, INT8

28 264 points

Geekbench AI, FP32

37 299 points

MLPerf, mixtral-8x7b (fp8)

3 767 tokens/s

Additional

Slots

Dual-slot Dual-slot

Release Date

March 5, 2016 March 18, 2025

Display Outputs

1x DVI
4x DisplayPort 1.2
4x DisplayPort 2.1b

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