MAXSUN RTX 5060 iCraft OC T0 vs NVIDIA H200 SXM 141 GB

Comparison of MAXSUN RTX 5060 iCraft OC T0 with 8 GB GDDR7 and 3,840 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

MAXSUN RTX 5060 iCraft OC T0

MAXSUN RTX 5060 iCraft OC T0

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

NVIDIA H200 SXM 141 GB

NVIDIA H200 SXM 141 GB

Contents:

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

Memory

Memory Size

8 GB 141 GB

Memory Type

GDDR7 HBM3e

Memory Bandwidth

448.0 GB/s 4.89 TB/s

Memory Bus Width

128 бит 6,144 бит

ML Performance

FP16 (Half Precision)

19.81 TFLOPS 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

19.81 TFLOPS 66.91 TFLOPS

FP64 (Double Precision)

0.3096 TFLOPS 33.45 TFLOPS

CUDA Cores

3,840 16,896

RT Cores

30 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Hopper

SM (Streaming Multiprocessor)

30 132

PCIe Version

PCIe 5.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

🔥 12.0
9.0

Clocks & Performance

Base Clock

2,280 1,500

Boost Clock

2,580 1,980

Memory Clock

1,750 1,593

Power Consumption

TDP/TGP

🔥 -79% 145 W
700 W

Recommended PSU

🔥 -73% 300 W
1100 W

Power Connector

1x 8-pin 8-pin EPS

Rendering

Texture Units (TMU)

120 528

ROP

30 No

L2 Cache

32 MB 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

Dual-slot SXM Module

Release Date

May 19, 2025 Nov. 18, 2024

Display Outputs

1x HDMI 2.1b
3x DisplayPort 2.1b
No outputs

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