NVIDIA RTX PRO 6000 Blackwell Server vs NVIDIA Switch GPU 20nm

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs NVIDIA Switch GPU 20nm with 4 GB DDR4 and 256 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

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

NVIDIA Switch GPU 20nm

23.2

NVIDIA Switch GPU 20nm

23.2

Contents:

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

Memory

Memory Size

96 GB 4 ГБ

Memory Type

GDDR7 DDR4

Memory Bandwidth

1.79 TB/s 25.60 GB/s

Memory Bus Width

512 бит 64 бит

ML Performance

FP16 (Half Precision)

126.0 TFLOPS 786.4 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

126.0 TFLOPS 393.2 TFLOPS

FP64 (Double Precision)

1.968 TFLOPS 0.012289999999999999 TFLOPS

CUDA Cores

24,064 256

RT Cores

188 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Maxwell 2.0

SM (Streaming Multiprocessor)

188 No

PCIe Version

PCIe 5.0 x16 No

ML Software Support

CUDA Version

🔥 12.0
5.3

Clocks & Performance

Base Clock

1,590 384

Boost Clock

2,617 768

Memory Clock

1,750 1,600

Power Consumption

TDP/TGP

600 W
🔥 -98% 15 W

Recommended PSU

1000 W No

Power Connector

1x 16-pin No

Rendering

Texture Units (TMU)

752 16

ROP

188 No

L2 Cache

128 MB No

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 No

Release Date

March 18, 2025 March 17, 2017

Display Outputs

4x DisplayPort 2.1b
1x USB Type-C

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