AMD Radeon Instinct MI300X vs GIGABYTE AORUS RTX 4070 Ti MASTER

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs GIGABYTE AORUS RTX 4070 Ti MASTER with 12 GB GDDR6X and 7,680 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms GIGABYTE AORUS RTX 4070 Ti MASTER by 489.23% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

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

GIGABYTE AORUS RTX 4070 Ti MASTER

16.0

GIGABYTE AORUS RTX 4070 Ti MASTER

16.0

Contents:

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

Memory

Memory Size

🔥 +1,500% 192 ГБ
12 ГБ

Memory Type

HBM3 GDDR6X

Memory Bandwidth

🔥 10.3 TB/s
504.2 GB/s

Memory Bus Width

8,192 бит 192 бит

ML Performance

FP16 (Half Precision)

🔥 +1,494% 653.7 TFLOPS
41.01 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +99% 81.72 TFLOPS
41.01 TFLOPS

FP64 (Double Precision)

🔥 +12,653% 81.72 TFLOPS
0.6407999999999999 TFLOPS

CUDA Cores

🔥 +153% 19,456
7,680

RT Cores

No
🔥 60

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ada Lovelace

SM (Streaming Multiprocessor)

No
🔥 60

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

No 8.9

Clocks & Performance

Base Clock

1,000
🔥 +131% 2,310

Boost Clock

2,100
🔥 +27% 2,670

Memory Clock

🔥 +92% 2,525
1,313

Power Consumption

TDP/TGP

750 W
🔥 -62% 285 W

Recommended PSU

1150 W
🔥 -48% 600 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

🔥 +407% 1,216
240

ROP

No
🔥 60

L2 Cache

16 MB
🔥 +200% 48 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 Quad-slot

Release Date

Dec. 6, 2023 Jan. 3, 2023

Display Outputs

No outputs
1x HDMI 2.1
3x DisplayPort 1.4a

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