Deploy DocSum on Kubernetes cluster¶

You should have Helm (version >= 3.15) installed. Refer to the Helm Installation Guide for more information.
For more deploy options, refer to helm charts README.

Deploy on Xeon¶

export HFTOKEN="insert-your-huggingface-token-here"
helm install docsum oci://ghcr.io/opea-project/charts/docsum  --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} -f cpu-values.yaml

Deploy on Gaudi¶

export HFTOKEN="insert-your-huggingface-token-here"
helm install docsum oci://ghcr.io/opea-project/charts/docsum  --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} -f gaudi-values.yaml

Deploy on AMD ROCm using Helm charts from the binary Helm repository¶

mkdir ~/docsum-k8s-install && cd ~/docsum-k8s-install

Cloning repos¶

git clone git clone https://github.com/opea-project/GenAIExamples.git

Go to the installation directory¶

cd GenAIExamples/DocSum/kubernetes/helm

Settings system variables¶

export HFTOKEN="your_huggingface_token"
export MODELDIR="/mnt/opea-models"
export MODELNAME="Intel/neural-chat-7b-v3-3"

Setting variables in Values files¶

If ROCm vLLM used¶

nano ~/docsum-k8s-install/GenAIExamples/DocSum/kubernetes/helm/rocm-values.yaml

HIP_VISIBLE_DEVICES - this variable specifies the ID of the GPU that you want to use. You can specify either one or several comma-separated ones - “0” or “0,1,2,3”
TENSOR_PARALLEL_SIZE - must match the number of GPUs used
resources: limits: amd.com/gpu: “1” - replace “1” with the number of GPUs used

If ROCm TGI used¶

nano ~/docsum-k8s-install/GenAIExamples/DocSum/kubernetes/helm/rocm-tgi-values.yaml

HIP_VISIBLE_DEVICES - this variable specifies the ID of the GPU that you want to use. You can specify either one or several comma-separated ones - “0” or “0,1,2,3”
extraCmdArgs: [ “–num-shard”,”1” ] - replace “1” with the number of GPUs used
resources: limits: amd.com/gpu: “1” - replace “1” with the number of GPUs used

Installing the Helm Chart¶

If ROCm vLLM used¶

helm upgrade --install docsum oci://ghcr.io/opea-project/charts/docsum \
    --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} \
    --values rocm-values.yaml

If ROCm TGI used¶

helm upgrade --install docsum oci://ghcr.io/opea-project/charts/docsum \
    --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} \
    --values rocm-tgi-values.yaml

Deploy on AMD ROCm using Helm charts from Git repositories¶

Creating working dirs¶

mkdir ~/docsum-k8s-install && cd ~/docsum-k8s-install

Cloning repos¶

git clone git clone https://github.com/opea-project/GenAIExamples.git
git clone git clone https://github.com/opea-project/GenAIInfra.git

Go to the installation directory¶

cd GenAIExamples/DocSum/kubernetes/helm

Settings system variables¶

export HFTOKEN="your_huggingface_token"
export MODELDIR="/mnt/opea-models"
export MODELNAME="Intel/neural-chat-7b-v3-3"

Setting variables in Values files¶

If ROCm vLLM used¶

nano ~/docsum-k8s-install/GenAIExamples/DocSum/kubernetes/helm/rocm-values.yaml

HIP_VISIBLE_DEVICES - this variable specifies the ID of the GPU that you want to use. You can specify either one or several comma-separated ones - “0” or “0,1,2,3”
TENSOR_PARALLEL_SIZE - must match the number of GPUs used
resources: limits: amd.com/gpu: “1” - replace “1” with the number of GPUs used

If ROCm TGI used¶

nano ~/docsum-k8s-install/GenAIExamples/DocSum/kubernetes/helm/rocm-tgi-values.yaml

HIP_VISIBLE_DEVICES - this variable specifies the ID of the GPU that you want to use. You can specify either one or several comma-separated ones - “0” or “0,1,2,3”
extraCmdArgs: [ “–num-shard”,”1” ] - replace “1” with the number of GPUs used
resources: limits: amd.com/gpu: “1” - replace “1” with the number of GPUs used

Installing the Helm Chart¶

If ROCm vLLM used¶

cd ~/docsum-k8s-install/GenAIInfra/helm-charts
./update_dependency.sh
helm dependency update docsum
helm upgrade --install docsum docsum \
    --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} \
    --values ../../GenAIExamples/DocSum/kubernetes/helm/rocm-values.yaml

If ROCm TGI used¶

cd ~/docsum-k8s-install/GenAIInfra/helm-charts
./update_dependency.sh
helm dependency update docsum
helm upgrade --install docsum docsum \
    --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} \
    --values ../../GenAIExamples/DocSum/kubernetes/helm/rocm-tgi-values.yaml