AMD Radeon Instinct MI300X vs NVIDIA GeForce GTX 980M

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA GeForce GTX 980M with 8 GB GDDR5 and 1,536 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms NVIDIA GeForce GTX 980M by 2,877.85% 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 GTX 980M

3.2

NVIDIA GeForce GTX 980M

3.2

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит NVIDIA GeForce GTX 980M по всем параметрам. MI300X имеет гораздо больше ядер и памяти, большую пропускную способность и более высокие вычислительные мощности. Он предназначен для современных задач AI и вычислений, тогда как GTX 980M более подходящий для легких графических задач и игр.

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 GDDR5

Memory Bandwidth

🔥 10.3 TB/s
160.4 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)

🔥 +2,260% 81.72 TFLOPS
3.462 TFLOPS

FP64 (Double Precision)

🔥 +75,427% 81.72 TFLOPS
0.1082 TFLOPS

CUDA Cores

🔥 +1,167% 19,456
1,536

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Maxwell 2.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 MXM-B (3.0)

ML Software Support

CUDA Version

No 5.2

CUDA Toolkit (first supported)

v6

CUDA Toolkit (deprecated)

v12

CUDA Toolkit (support removed)

v13

CUDA Toolkit status

Supported Removed

Clocks & Performance

Base Clock

🔥 1,000
1,038

Boost Clock

🔥 +86% 2,100
1,127

Memory Clock

🔥 +102% 2,525
1,253

Power Consumption

Recommended PSU

1150 W No

Power Connector

None None

TDP/TGP

750 W unknown

Rendering

Texture Units (TMU)

🔥 +1,167% 1,216
96

ROP

No No

L2 Cache

🔥 +700% 16 MB
2 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 Oct. 7, 2014

Display Outputs

No outputs
Portable Device Dependent

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