Barco MXRT-4700 vs NVIDIA H200 SXM 141 GB

Comparison of Barco MXRT-4700 with 4 GB GDDR5 and 512 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

Barco MXRT-4700

0.0

Barco MXRT-4700

0.0
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

GDDR5 HBM3e

Memory Bandwidth

96.00 GB/s
🔥 4.89 TB/s

Memory Bus Width

128 бит 6,144 бит

ML Performance

FP16 (Half Precision)

No
🔥 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

No
🔥 66.91 TFLOPS

FP64 (Double Precision)

0.07801999999999999 TFLOPS
🔥 +42,774% 33.45 TFLOPS

CUDA Cores

512
🔥 +3,200% 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

GCN 4.0 Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

PCIe 3.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

No 9.0

Clocks & Performance

Base Clock

925
🔥 +62% 1,500

Boost Clock

1,219
🔥 +62% 1,980

Memory Clock

1,500
🔥 +6% 1,593

Power Consumption

TDP/TGP

🔥 -91% 65 W
700 W

Recommended PSU

🔥 -77% 250 W
1100 W

Power Connector

None 8-pin EPS

Rendering

Texture Units (TMU)

32
🔥 +1,550% 528

ROP

No No

L2 Cache

512 KB
🔥 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

Single-slot
🔥 SXM Module

Release Date

June 12, 2017 Nov. 18, 2024

Display Outputs

1x DisplayPort 1.4a
2x mini-DisplayPort 1.4a
No outputs

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