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docs: Change URL for Habana Gaudi support in doc (#1343)

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regisss 2023-12-21 11:05:35 +01:00 committed by GitHub
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docs/source/supported_models.md
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@ -39,7 +39,7 @@ text-generation-launcher --model-id <PATH-TO-LOCAL-BLOOM>
## Supported Hardware ## Supported Hardware
TGI optimized models are supported on NVIDIA [A100](https://www.nvidia.com/en-us/data-center/a100/), [A10G](https://www.nvidia.com/en-us/data-center/products/a10-gpu/) and [T4](https://www.nvidia.com/en-us/data-center/tesla-t4/) GPUs with CUDA 11.8+. Note that you have to install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) to use it. For other NVIDIA GPUs, continuous batching will still apply, but some operations like flash attention and paged attention will not be executed. TGI optimized models are supported on NVIDIA [A100](https://www.nvidia.com/en-us/data-center/a100/), [A10G](https://www.nvidia.com/en-us/data-center/products/a10-gpu/) and [T4](https://www.nvidia.com/en-us/data-center/tesla-t4/) GPUs with CUDA 11.8+. Note that you have to install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) to use it. For other NVIDIA GPUs, continuous batching will still apply, but some operations like flash attention and paged attention will not be executed.
TGI also has support of ROCm-enabled AMD Instinct MI210 and MI250 GPUs, with paged attention and flash attention v2 support. The following features are currently not supported in the ROCm version of TGI, and the supported may be extended in the future: TGI also has support of ROCm-enabled AMD Instinct MI210 and MI250 GPUs, with paged attention and flash attention v2 support. The following features are currently not supported in the ROCm version of TGI, and the supported may be extended in the future:
* Quantization (GPTQ, AWQ, etc.) * Quantization (GPTQ, AWQ, etc.)
@ -47,5 +47,5 @@ TGI also has support of ROCm-enabled AMD Instinct MI210 and MI250 GPUs, with pag
* Kernel for slinding window attention (Mistral) * Kernel for slinding window attention (Mistral)
TGI is also supported on the following AI hardware accelerators: TGI is also supported on the following AI hardware accelerators:
- *Habana first-gen Gaudi and Gaudi2:* check out this [example](https://github.com/huggingface/optimum-habana/tree/main/text-generation-inference) how to serve models with TGI on Gaudi and Gaudi2 with [Optimum Habana](https://huggingface.co/docs/optimum/habana/index) - *Habana first-gen Gaudi and Gaudi2:* check out this [repository](https://github.com/huggingface/tgi-gaudi) to serve models with TGI on Gaudi and Gaudi2 with [Optimum Habana](https://huggingface.co/docs/optimum/habana/index)
* *AWS Inferentia2:* check out this [guide](https://github.com/huggingface/optimum-neuron/tree/main/text-generation-inference) on how to serve models with TGI on Inferentia2. * *AWS Inferentia2:* check out this [guide](https://github.com/huggingface/optimum-neuron/tree/main/text-generation-inference) on how to serve models with TGI on Inferentia2.