AMD Radeon Instinct MI300X vs NVIDIA GeForce 8200

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce 8200 and 16 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

94.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA GeForce 8200

NVIDIA GeForce 8200

Contents:

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

Memory

Memory Size

🔥 192 ГБ
No

Memory Type

HBM3 System Shared

Memory Bandwidth

🔥 10.3 TB/s
System Dependent

Memory Bus Width

8,192 бит No

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +212,713% 81.72 TFLOPS
0.0384 TFLOPS

FP64 (Double Precision)

🔥 81.72 TFLOPS
No

CUDA Cores

🔥 +121,500% 19,456
16

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Tesla

SM (Streaming Multiprocessor)

No 2

PCIe Version

PCIe 5.0 x16 PCI

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 2,525
No

Power Consumption

TDP/TGP

750 W
🔥 -95% 40 W

Recommended PSU

1150 W No

Power Connector

None No

Rendering

Texture Units (TMU)

🔥 +15,100% 1,216
8

ROP

No No

L2 Cache

🔥 16 MB
No

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 May 6, 2008

Display Outputs

No outputs
1x DVI
1x VGA
1x S-Video

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