AMD Radeon Instinct MI300X vs Manli RTX 3050 (M1586+N640) 6 GB

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Manli RTX 3050 (M1586+N640) 6 GB with 6 GB GDDR6 and 2,304 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

Manli RTX 3050 (M1586+N640) 6 GB

Manli RTX 3050 (M1586+N640) 6 GB

Contents:

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

Memory

Memory Size

192 GB 6 GB

Memory Type

HBM3 GDDR6

Memory Bandwidth

10.3 TB/s 168.0 GB/s

Memory Bus Width

8,192 бит 96 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 6.774 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 6.774 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.1058 TFLOPS

CUDA Cores

19,456 2,304

RT Cores

No 18

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ampere

SM (Streaming Multiprocessor)

No 18

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

No 8.6

Clocks & Performance

Base Clock

1,000 1,042

Boost Clock

2,100 1,470

Memory Clock

2,525 1,750

Power Consumption

TDP/TGP

750 W
🔥 -91% 70 W

Recommended PSU

1150 W
🔥 -78% 250 W

Power Connector

None 1x 8-pin

Rendering

Texture Units (TMU)

1,216 72

ROP

No 18

L2 Cache

16 MB 2 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 Dual-slot

Release Date

Dec. 6, 2023 Feb. 2, 2024

Display Outputs

No outputs
1x HDMI 2.1
3x DisplayPort 1.4a

1x HDMI 2.1
1x DisplayPort 1.4a

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