AMD Radeon Instinct MI300X vs NVIDIA GeForce GT 140 OEM

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce GT 140 OEM with 1,024 GB GDDR3 and 64 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 GT 140 OEM

NVIDIA GeForce GT 140 OEM

Contents:

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

Memory

Memory Size

🔥 192 ГБ
1,024 MB

Memory Type

HBM3 GDDR3

Memory Bandwidth

🔥 10.3 TB/s
57.60 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +39,188% 81.72 TFLOPS
0.208 TFLOPS

FP64 (Double Precision)

🔥 81.72 TFLOPS
No

CUDA Cores

🔥 +30,300% 19,456
64

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Tesla

SM (Streaming Multiprocessor)

No 8

PCIe Version

PCIe 5.0 x16 PCIe 2.0 x16

ML Software Support

CUDA Version

No 1.1

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +181% 2,525
900

Power Consumption

TDP/TGP

750 W
🔥 -86% 105 W

Recommended PSU

1150 W
🔥 -74% 300 W

Power Connector

None 1x 6-pin

Rendering

Texture Units (TMU)

🔥 +3,700% 1,216
32

ROP

No No

L2 Cache

🔥 16 MB
64 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 Single-slot

Release Date

Dec. 6, 2023 March 10, 2009

Display Outputs

No outputs
2x DVI
1x S-Video

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