add doc for intel gpus

docs/source/_toctree.yml

@@ -11,6 +11,8 @@
     title: Using TGI with Intel Gaudi
   - local: installation_inferentia
     title: Using TGI with AWS Inferentia
+  - local: installation_intel
+    title: Using TGI with Intel GPUs
   - local: installation
     title: Installation from source
   - local: supported_models

docs/source/architecture.md

@@ -103,6 +103,7 @@ Several variants of the model server exist that are actively supported by Huggin
 
 - By default, the model server will attempt building [a server optimized for Nvidia GPUs with CUDA](https://huggingface.co/docs/text-generation-inference/installation_nvidia). The code for this version is hosted in the [main TGI repository](https://github.com/huggingface/text-generation-inference).
 - A [version optimized for AMD with ROCm](https://huggingface.co/docs/text-generation-inference/installation_amd) is hosted in the main TGI repository. Some model features differ.
+- A [version optimized for Intel GPUs](https://huggingface.co/docs/text-generation-inference/installation_intel) is hosted in the main TGI repository. Some model features differ.
 - The [version for Intel Gaudi](https://huggingface.co/docs/text-generation-inference/installation_gaudi) is maintained on a forked repository, often resynchronized with the main [TGI repository](https://github.com/huggingface/tgi-gaudi).
 - A [version for Neuron (AWS Inferentia2)](https://huggingface.co/docs/text-generation-inference/installation_inferentia) is maintained as part of [Optimum Neuron](https://github.com/huggingface/optimum-neuron/tree/main/text-generation-inference).
 - A version for Google TPUs is maintained as part of [Optimum TPU](https://github.com/huggingface/optimum-tpu/tree/main/text-generation-inference).

docs/source/installation_intel.md

@@ -0,0 +1,19 @@
+# Using TGI with Intel GPUs
+
+TGI optimized models are supported on Intel Data Center GPU [Max1100](https://www.intel.com/content/www/us/en/products/sku/232876/intel-data-center-gpu-max-1100/specifications.html), [Max1550](https://www.intel.com/content/www/us/en/products/sku/232873/intel-data-center-gpu-max-1550/specifications.html), the recommended usage is through Docker.
+
+
+On a server powered by Intel GPUs, TGI can be launched with the following command:
+
+```bash
+model=teknium/OpenHermes-2.5-Mistral-7B
+volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
+
+docker run --rm --privileged --cap-add=sys_nice \
+    --device=/dev/dri \
+    --ipc=host --shm-size 1g --net host -v $volume:/data \
+    ghcr.io/huggingface/text-generation-inference:latest-intel \
+    --model-id $model --cuda-graphs 0
+```
+
+The launched TGI server can then be queried from clients, make sure to check out the [Consuming TGI](./basic_tutorials/consuming_tgi) guide.

docs/source/quicktour.md

@@ -17,7 +17,7 @@ docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \
 
 ### Supported hardware
 
-TGI supports various hardware. Make sure to check the [Using TGI with Nvidia GPUs](./installation_nvidia), [Using TGI with AMD GPUs](./installation_amd), [Using TGI with Gaudi](./installation_gaudi), [Using TGI with Inferentia](./installation_inferentia) guides depending on which hardware you would like to deploy TGI on.
+TGI supports various hardware. Make sure to check the [Using TGI with Nvidia GPUs](./installation_nvidia), [Using TGI with AMD GPUs](./installation_amd), [Using TGI with Intel GPUs](./installation_intel), [Using TGI with Gaudi](./installation_gaudi), [Using TGI with Inferentia](./installation_inferentia) guides depending on which hardware you would like to deploy TGI on.
 
 ## Consuming TGI