AMD Radeon Instinct MI300X vs ASUS TURBO RTX 3080

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs ASUS TURBO RTX 3080 with 10 GB GDDR6X and 8,704 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

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

ASUS TURBO RTX 3080

ASUS TURBO RTX 3080

Contents:

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

Memory

Memory Size

🔥 +1,820% 192 ГБ
10 GB

Memory Type

HBM3 GDDR6X

Memory Bandwidth

🔥 10.3 TB/s
760.3 GB/s

Memory Bus Width

8,192 бит 320 бит

ML Performance

FP16 (Half Precision)

🔥 +2,096% 653.7 TFLOPS
29.77 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +175% 81.72 TFLOPS
29.77 TFLOPS

FP64 (Double Precision)

🔥 +17,470% 81.72 TFLOPS
0.4651 TFLOPS

CUDA Cores

🔥 +124% 19,456
8,704

RT Cores

No 68

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ampere

SM (Streaming Multiprocessor)

No 68

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

No 8.6

Clocks & Performance

Base Clock

🔥 1,000
1,440

Boost Clock

🔥 +23% 2,100
1,710

Memory Clock

🔥 +113% 2,525
1,188

Power Consumption

TDP/TGP

750 W
🔥 -57% 320 W

Recommended PSU

1150 W
🔥 -39% 700 W

Power Connector

None 2x 8-pin

Rendering

Texture Units (TMU)

🔥 +347% 1,216
272

ROP

No 68

L2 Cache

🔥 +220% 16 MB
5 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 Sept. 1, 2020

Display Outputs

No outputs
1x HDMI 2.1
3x DisplayPort 1.4a

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