AMD Radeon Instinct MI300X vs AMD Radeon R9 370

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon R9 370 with 2 GB GDDR5 and 1,280 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
MI250 MI250
Instinct MI300X Instinct MI300X
RX 7900 XTX RX 7900 XTX

AMD Radeon R9 370

AMD Radeon R9 370

Contents:

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

Memory

Memory Size

🔥 +9,500% 192 ГБ
2 GB

Memory Type

HBM3 GDDR5

Memory Bandwidth

🔥 10.3 TB/s
179.2 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)

🔥 +3,174% 81.72 TFLOPS
2.496 TFLOPS

FP64 (Double Precision)

🔥 +52,285% 81.72 TFLOPS
0.156 TFLOPS

CUDA Cores

🔥 +1,420% 19,456
1,280

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 1.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

🔥 +8% 1,000
925

Boost Clock

🔥 +115% 2,100
975

Memory Clock

🔥 +80% 2,525
1,400

Power Consumption

TDP/TGP

750 W
🔥 -85% 110 W

Recommended PSU

1150 W
🔥 -74% 300 W

Power Connector

None 1x 6-pin

Rendering

Texture Units (TMU)

🔥 +1,420% 1,216
80

ROP

No No

L2 Cache

🔥 16 MB
512 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 Dual-slot

Release Date

Dec. 6, 2023 May 5, 2015

Display Outputs

No outputs
2x DVI
1x HDMI 1.4a
1x DisplayPort 1.2

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