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Cleanups (#134)
* Remove cleanup.sh * Fix Dockerfile-ub22 for logs folder * Remove CPREFIX
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PyTorch/vLLM_Tutorials/Deploying_vLLM/Dockerfile-1.21.0-ub22-vllm-v0.7.2+Gaudi

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FROM vault.habana.ai/gaudi-docker/1.21.0/ubuntu24.04/habanalabs/pytorch-installer-2.6.0
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# BUILD_ARGS="--build-arg http_proxy --build-arg https_proxy --build-arg no_proxy"
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# CPREFIX="gar-registry.caas.intel.com/aice/"
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# CNAME=vllm-v0.7.2-gaudi-ub22:1.21.0-555
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# docker pull vault.habana.ai/gaudi-docker/1.21.0/ubuntu24.04/habanalabs/pytorch-installer-2.6.0
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# docker build -f Dockerfile-1.21.0-ub22-vllm-v0.7.2+Gaudi -t ${CPREFIX}${CNAME} $BUILD_ARGS .

PyTorch/vLLM_Tutorials/Deploying_vLLM/Dockerfile-1.21.0-ub24-vllm-v0.7.2+Gaudi

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FROM vault.habana.ai/gaudi-docker/1.21.0/ubuntu24.04/habanalabs/pytorch-installer-2.6.0
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# BUILD_ARGS="--build-arg http_proxy --build-arg https_proxy --build-arg no_proxy"
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# CPREFIX="gar-registry.caas.intel.com/aice/"
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# CNAME=vllm-v0.7.2-gaudi-ub24:1.21.0-555
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# docker pull vault.habana.ai/gaudi-docker/1.21.0/ubuntu24.04/habanalabs/pytorch-installer-2.6.0
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# docker build -f Dockerfile-1.21.0-ub24-vllm-v0.7.2+Gaudi -t ${CPREFIX}${CNAME} $BUILD_ARGS .

PyTorch/vLLM_Tutorials/Deploying_vLLM/README.md

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For information on how to set HABANA_VISIBLE_DEVICES for a specific TP size, see [docs.habana.ai - Multiple Tenants](https://docs.habana.ai/en/latest/Orchestration/Multiple_Tenants_on_HPU/Multiple_Dockers_each_with_Single_Workload.html)
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```
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CNAME=vllm-v0.7.2-gaudi-ub24:1.21.0-555
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CPREFIX=gar-registry.caas.intel.com/aice/
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HOST_PORT1=8000
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docker run -it --rm \
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-e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy \
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```
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## Run in Separate terminal
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CNAME=vllm-v0.7.2-gaudi-ub24:1.21.0-555
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CPREFIX=gar-registry.caas.intel.com/aice/
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HOST_PORT2=9222
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docker run -it --rm \
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-e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy \

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