AMD Radeon Instinct MI300X vs NVIDIA GeForce GT 1010 DDR4

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce GT 1010 DDR4 with 2 GB DDR4 and 256 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

NVIDIA GeForce GT 1010 DDR4

26.5

NVIDIA GeForce GT 1010 DDR4

26.5

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 DDR4

Memory Bandwidth

10.3 TB/s 16.80 GB/s

Memory Bus Width

8,192 бит 64 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
🔥 +765% 706.6 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS
🔥 0.02944 TFLOPS

CUDA Cores

19,456
🔥 256

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Pascal

SM (Streaming Multiprocessor)

No
🔥 2

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x4

ML Software Support

CUDA Version

No 6.1

Clocks & Performance

Base Clock

1,000
🔥 +15% 1,152

Boost Clock

2,100
🔥 1,380

Memory Clock

2,525
🔥 1,050

Power Consumption

TDP/TGP

750 W
🔥 -97% 20 W

Recommended PSU

1150 W
🔥 -83% 200 W

Power Connector

None None

Rendering

Texture Units (TMU)

1,216
🔥 16

ROP

No No

L2 Cache

16 MB
🔥 +1,500% 256 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 Jan. 13, 2021

Display Outputs

No outputs
1x DVI
1x mini-HDMI 2.0

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