AMD Radeon Instinct MI300X vs Gainward GTX 950 Guan Yu

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Gainward GTX 950 Guan Yu with 2 GB GDDR5 and 768 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

Gainward GTX 950 Guan Yu

1.7

Gainward GTX 950 Guan Yu

1.7

Contents:

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

Memory

Memory Size

192 GB 2 ГБ

Memory Type

HBM3 GDDR5

Memory Bandwidth

10.3 TB/s 107.1 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 2.081 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.06504 TFLOPS

CUDA Cores

19,456 768

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Maxwell 2.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 5.2

Clocks & Performance

Base Clock

1,000 1,165

Boost Clock

2,100 1,355

Memory Clock

2,525 1,674

Power Consumption

TDP/TGP

750 W
🔥 -88% 90 W

Recommended PSU

1150 W
🔥 -78% 250 W

Power Connector

None 1x 6-pin

Rendering

Texture Units (TMU)

1,216 48

ROP

No No

L2 Cache

16 MB 1024 KB

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 Dual-slot

Release Date

Dec. 6, 2023 Aug. 20, 2015

Display Outputs

No outputs
1x DVI
1x HDMI 2.0
3x DisplayPort 1.2

2x DVI
1x HDMI 2.0
1x DisplayPort 1.2

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