vllm/docs/source/features/quantization/supported_hardware.md

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(quantization-supported-hardware)=
# Supported Hardware
The table below shows the compatibility of various quantization implementations with different hardware platforms in vLLM:
```{list-table}
:header-rows: 1
:widths: 20 8 8 8 8 8 8 8 8 8 8
* - Implementation
- Volta
- Turing
- Ampere
- Ada
- Hopper
- AMD GPU
- Intel GPU
- x86 CPU
- AWS Inferentia
- Google TPU
* - AWQ
-
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
- ✅︎
- ✅︎
-
-
* - GPTQ
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
- ✅︎
- ✅︎
-
-
* - Marlin (GPTQ/AWQ/FP8)
-
-
- ✅︎
- ✅︎
- ✅︎
-
-
-
-
-
* - INT8 (W8A8)
-
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
-
- ✅︎
-
-
* - FP8 (W8A8)
-
-
-
- ✅︎
- ✅︎
- ✅︎
-
-
-
-
* - AQLM
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
-
-
-
-
* - bitsandbytes
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
-
-
-
-
* - DeepSpeedFP
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
-
-
-
-
* - GGUF
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
-
-
-
-
```
- Volta refers to SM 7.0, Turing to SM 7.5, Ampere to SM 8.0/8.6, Ada to SM 8.9, and Hopper to SM 9.0.
- "✅︎" indicates that the quantization method is supported on the specified hardware.
- "✗" indicates that the quantization method is not supported on the specified hardware.
```{note}
This compatibility chart is subject to change as vLLM continues to evolve and expand its support for different hardware platforms and quantization methods.
For the most up-to-date information on hardware support and quantization methods, please refer to <gh-dir:vllm/model_executor/layers/quantization> or consult with the vLLM development team.
```