NVIDIA CMP 70HX vs NVIDIA H200 NVL

Comparison of NVIDIA CMP 70HX with 8 GB GDDR6X and 3,840 cores vs NVIDIA H200 NVL with 141 GB HBM3e and 16,896 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA CMP 70HX

NVIDIA CMP 70HX

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

NVIDIA H200 NVL

63.6

NVIDIA H200 NVL

63.6

Contents:

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

Memory

Memory Size

8 GB
🔥 +1,662% 141 ГБ

Memory Type

GDDR6X HBM3e

Memory Bandwidth

608.3 GB/s
🔥 4.89 TB/s

Memory Bus Width

256 бит 6,144 бит

ML Performance

FP16 (Half Precision)

10.71 TFLOPS
🔥 +2,153% 241.3 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

10.71 TFLOPS
🔥 +463% 60.32 TFLOPS

FP64 (Double Precision)

0.1674 TFLOPS
🔥 +17,917% 30.16 TFLOPS

CUDA Cores

3,840
🔥 +340% 16,896

RT Cores

30 No

Architecture & Compatibility

GPU Architecture

Ampere Hopper

SM (Streaming Multiprocessor)

30
🔥 +340% 132

PCIe Version

PCIe 1.0 x4 PCIe 5.0 x16

ML Software Support

CUDA Version

8.6
🔥 9.0

Clocks & Performance

Base Clock

1,365
🔥 1,365

Boost Clock

1,395
🔥 +28% 1,785

Memory Clock

1,188
🔥 +34% 1,593

Power Consumption

TDP/TGP

unknown 600 W

Recommended PSU

🔥 -80% 200 W
1000 W

Power Connector

1x 12-pin 8-pin EPS

Rendering

Texture Units (TMU)

120
🔥 +340% 528

ROP

30 No

L2 Cache

4 MB
🔥 +1,150% 50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp4)

7 436 tokens/s

MLPerf, llama3.1-405b (fp4)

130.5 tokens/s

MLPerf, deepseek-r1 (fp4)

2 327 tokens/s

Additional

Slots

Dual-slot Dual-slot

Release Date

March 11, 2021 Nov. 18, 2024

Display Outputs

No outputs
No outputs

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