NVIDIA H200 SXM 141 GB vs VisionTek R9 270X OC

Comparison of NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores vs VisionTek R9 270X OC with 2 GB GDDR5 and 1,280 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA H200 SXM 141 GB

NVIDIA H200 SXM 141 GB

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

VisionTek R9 270X OC

VisionTek R9 270X OC

Contents:

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

Memory

Memory Size

141 GB 2 GB

Memory Type

HBM3e GDDR5

Memory Bandwidth

4.89 TB/s 179.2 GB/s

Memory Bus Width

6,144 бит 256 бит

ML Performance

FP16 (Half Precision)

267.6 TFLOPS No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

66.91 TFLOPS 2.765 TFLOPS

FP64 (Double Precision)

33.45 TFLOPS 0.1728 TFLOPS

CUDA Cores

16,896 1,280

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Hopper GCN 1.0

SM (Streaming Multiprocessor)

132 No

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

9.0 No

Clocks & Performance

Base Clock

1,500 1,030

Boost Clock

1,980 1,080

Memory Clock

1,593 1,400

Power Consumption

TDP/TGP

700 W
🔥 -74% 180 W

Recommended PSU

1100 W
🔥 -59% 450 W

Power Connector

8-pin EPS 2x 6-pin

Rendering

Texture Units (TMU)

528 80

ROP

No No

L2 Cache

50 MB 512 KB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

3 534 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

3 553 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

2 444 tokens/s

MLPerf, llama3.1-405b (fp16)

40.8 tokens/s

MLPerf, llama3.1-405b (fp8)

25.3 tokens/s

MLPerf, llama3.1-8b (fp8)

5 161 tokens/s

MLPerf, deepseek-r1 (fp8)

1 113 tokens/s

MLPerf, mixtral-8x7b (fp8)

7 132 tokens/s

Additional

Slots

SXM Module Dual-slot

Release Date

Nov. 18, 2024 Oct. 8, 2013

Display Outputs

No outputs
2x DVI
1x HDMI 1.4a
1x DisplayPort 1.2

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