NVIDIA H200 SXM 141 GB vs XFX Speedster QICK 319 RX 6700 XL

Comparison of NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores vs XFX Speedster QICK 319 RX 6700 XL with 10 GB GDDR6 and 2,304 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

XFX Speedster QICK 319 RX 6700 XL

XFX Speedster QICK 319 RX 6700 XL

Contents:

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

Memory

Memory Size

141 GB 10 GB

Memory Type

HBM3e GDDR6

Memory Bandwidth

4.89 TB/s 320.0 GB/s

Memory Bus Width

6,144 бит 160 бит

ML Performance

FP16 (Half Precision)

267.6 TFLOPS 22.58 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

66.91 TFLOPS 11.29 TFLOPS

FP64 (Double Precision)

33.45 TFLOPS 0.7056 TFLOPS

CUDA Cores

16,896 2,304

RT Cores

No 36

Architecture & Compatibility

GPU Architecture

Hopper RDNA 2.0

SM (Streaming Multiprocessor)

132 No

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

9.0 No

Clocks & Performance

Base Clock

1,500 1,941

Boost Clock

1,980 2,450

Memory Clock

1,593 2,000

Power Consumption

TDP/TGP

700 W
🔥 -69% 220 W

Recommended PSU

1100 W
🔥 -50% 550 W

Power Connector

8-pin EPS 2x 8-pin

Rendering

Texture Units (TMU)

528 144

ROP

No 36

L2 Cache

50 MB 3 MB

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 June 9, 2021

Display Outputs

No outputs
1x HDMI 2.1
3x DisplayPort 1.4a

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