AMD Radeon Instinct MI300X vs NVIDIA GeForce GTX 480

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce GTX 480 with 1,536 GB GDDR5 and 480 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

NVIDIA GeForce GTX 480

NVIDIA GeForce GTX 480

Contents:

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

Memory

Memory Size

🔥 192 ГБ
1,536 MB

Memory Type

HBM3 GDDR5

Memory Bandwidth

🔥 10.3 TB/s
177.4 GB/s

Memory Bus Width

8,192 бит 384 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +5,976% 81.72 TFLOPS
1.345 TFLOPS

FP64 (Double Precision)

🔥 +48,514% 81.72 TFLOPS
0.1681 TFLOPS

CUDA Cores

🔥 +3,953% 19,456
480

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Fermi

SM (Streaming Multiprocessor)

No 15

PCIe Version

PCIe 5.0 x16 PCIe 2.0 x16

ML Software Support

CUDA Version

No 2.0

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +173% 2,525
924

Power Consumption

TDP/TGP

750 W
🔥 -67% 250 W

Recommended PSU

1150 W
🔥 -48% 600 W

Power Connector

None 1x 6-pin + 1x 8-pin

Rendering

Texture Units (TMU)

🔥 +1,927% 1,216
60

ROP

No No

L2 Cache

🔥 16 MB
768 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 March 26, 2010

Display Outputs

No outputs
2x DVI
1x mini-HDMI 1.3a

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