NVIDIA H800 SXM5 vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of NVIDIA H800 SXM5 with 80 GB HBM3 and 16,896 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA H800 SXM5

NVIDIA H800 SXM5

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

80 GB
🔥 +20% 96 ГБ

Memory Type

HBM3 GDDR7

Memory Bandwidth

3.36 TB/s
🔥 1.79 TB/s

Memory Bus Width

5,120 бит 512 бит

ML Performance

FP16 (Half Precision)

237.2 TFLOPS
🔥 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

59.3 TFLOPS
🔥 +112% 126.0 TFLOPS

FP64 (Double Precision)

29.65 TFLOPS
🔥 1.968 TFLOPS

CUDA Cores

16,896
🔥 +42% 24,064

RT Cores

No
🔥 188

Architecture & Compatibility

GPU Architecture

Hopper Blackwell 2.0

SM (Streaming Multiprocessor)

132
🔥 +42% 188

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

9.0
🔥 12.0

Clocks & Performance

Base Clock

1,095
🔥 +45% 1,590

Boost Clock

1,755
🔥 +49% 2,617

Memory Clock

1,313
🔥 +33% 1,750

Power Consumption

TDP/TGP

700 W
🔥 -14% 600 W

Recommended PSU

1100 W
🔥 -9% 1000 W

Power Connector

8-pin EPS 1x 16-pin

Rendering

Texture Units (TMU)

528
🔥 +42% 752

ROP

No
🔥 188

L2 Cache

50 MB
🔥 +156% 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

SXM Module Dual-slot

Release Date

March 21, 2023 March 18, 2025

Display Outputs

No outputs
4x DisplayPort 2.1b

Renting is cheaper than buying