Advantech RTX A500 Embedded 4 GB vs NVIDIA H200 SXM 141 GB

Comparison of Advantech RTX A500 Embedded 4 GB with 4 GB GDDR6 and 2,048 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

NVIDIA H200 SXM 141 GB outperforms Advantech RTX A500 Embedded 4 GB by 2,025.55% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

Advantech RTX A500 Embedded 4 GB

3.2

Advantech RTX A500 Embedded 4 GB

3.2
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA H200 SXM 141 GB

67.4

NVIDIA H200 SXM 141 GB

67.4

Contents:

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

Memory

Memory Size

4 ГБ
🔥 +3,425% 141 ГБ

Memory Type

GDDR6 HBM3e

Memory Bandwidth

96.00 GB/s
🔥 4.89 TB/s

Memory Bus Width

64 бит 6,144 бит

ML Performance

FP16 (Half Precision)

6.541 TFLOPS
🔥 +3,991% 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

6.541 TFLOPS
🔥 +923% 66.91 TFLOPS

FP64 (Double Precision)

🔥 +305,431% 102,200.0 TFLOPS
33.45 TFLOPS

CUDA Cores

2,048
🔥 +725% 16,896

RT Cores

🔥 16
No

Architecture & Compatibility

GPU Architecture

Ampere Hopper

SM (Streaming Multiprocessor)

16
🔥 +725% 132

PCIe Version

PCIe 4.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

8.6
🔥 9.0

Clocks & Performance

Base Clock

652
🔥 +130% 1,500

Boost Clock

1,597
🔥 +24% 1,980

Memory Clock

1,500
🔥 +6% 1,593

Power Consumption

TDP/TGP

🔥 -96% 25 W
700 W

Recommended PSU

No 1100 W

Power Connector

None 8-pin EPS

Rendering

Texture Units (TMU)

64
🔥 +725% 528

ROP

🔥 16
No

L2 Cache

2 MB
🔥 +2,400% 50 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

MXM Module
🔥 SXM Module

Release Date

March 30, 2022 Nov. 18, 2024

Display Outputs

Portable Device Dependent
No outputs

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