Using TGI with Intel GPUs

TGI optimized models are supported on Intel Data Center GPU Max1100, Max1550, the recommended usage is through Docker.

On a server powered by Intel GPUs, TGI can be launched with the following command:

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:2.4.1-intel-xpu \
    --model-id $model --cuda-graphs 0

Using TGI with Intel CPUs

Intel® Extension for PyTorch (IPEX) also provides further optimizations for Intel CPUs. The IPEX provides optimization operations such as flash attention, page attention, Add + LayerNorm, ROPE and more.

On a server powered by Intel CPU, TGI can be launched with the following command:

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:2.4.1-intel-cpu \
    --model-id $model --cuda-graphs 0

The launched TGI server can then be queried from clients, make sure to check out the Consuming TGI guide.

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