AMD Radeon Instinct MI300X vs HP ZGX Nano G1n AI Station

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs HP ZGX Nano G1n AI Station with 128 GB LPDDR5X and 6,144 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI300X

AMD Radeon Instinct MI300X

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

HP ZGX Nano G1n AI Station

HP ZGX Nano G1n AI Station

Contents:

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

Memory

Memory Size

192 GB 128 GB

Memory Type

HBM3 LPDDR5X

Memory Bandwidth

10.3 TB/s 273.2 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 29.71 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 29.71 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.4643 TFLOPS

CUDA Cores

19,456 6,144

RT Cores

No 48

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 48

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.1

Clocks & Performance

Base Clock

1,000 1,665

Boost Clock

2,100 2,418

Memory Clock

2,525 1,067

Power Consumption

TDP/TGP

750 W
🔥 -81% 140 W

Recommended PSU

1150 W
🔥 -74% 300 W

Power Connector

None None

Rendering

Texture Units (TMU)

1,216 384

ROP

No 48

L2 Cache

16 MB 50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

1 983 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

1 740 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 057 tokens/s

MLPerf, llama3.1-405b (UNSET)

30.4 tokens/s

MLPerf, llama3.1-405b (fp16)

34.8 tokens/s

llama.cpp, llama-2-7b-Q4_0

232.9 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module IGP

Release Date

Dec. 6, 2023 Oct. 15, 2025

Display Outputs

No outputs
1x HDMI

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