AMD Radeon Instinct MI300X vs NVIDIA GeForce RTX 2070 Max-Q Refresh

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce RTX 2070 Max-Q Refresh with 8 GB GDDR6 and 2,304 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms NVIDIA GeForce RTX 2070 Max-Q Refresh by 1,941.21% 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

NVIDIA GeForce RTX 2070 Max-Q Refresh

4.6

NVIDIA GeForce RTX 2070 Max-Q Refresh

4.6

Contents:

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

Memory

Memory Size

🔥 +2,300% 192 ГБ
8 GB

Memory Type

HBM3 GDDR6

Memory Bandwidth

🔥 10.3 TB/s
352.0 GB/s

Memory Bus Width

8,192 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +6,204% 653.7 TFLOPS
10.37 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,476% 81.72 TFLOPS
5.184 TFLOPS

FP64 (Double Precision)

🔥 +50,344% 81.72 TFLOPS
0.162 TFLOPS

CUDA Cores

🔥 +744% 19,456
2,304

RT Cores

No
🔥 36

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Turing

SM (Streaming Multiprocessor)

No
🔥 36

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 7.5

Clocks & Performance

Base Clock

🔥 +11% 1,000
900

Boost Clock

🔥 +87% 2,100
1,125

Memory Clock

🔥 +84% 2,525
1,375

Power Consumption

Recommended PSU

1150 W No

Power Connector

None None

TDP/TGP

750 W
🔥 -85% 115 W

Rendering

Texture Units (TMU)

🔥 +744% 1,216
144

ROP

No
🔥 36

L2 Cache

16 MB
🔥 4 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 MXM Module

Release Date

Dec. 6, 2023 March 4, 2020

Display Outputs

No outputs
Portable Device Dependent

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