[Feature] Configuration Document Optimization Suggestions - ChatQnA Setup and Deployment

[zhangyuting]

Priority

P3-Medium

OS type

Ubuntu

Hardware type

GPU-Nvidia

Running nodes

Single Node

Description

Due to the limited performance of my local Intel processor, I tried to deploy ChatQnA using a 3090 graphics card. According to the documentation at https://github.com/opea-project/GenAIExamples/blob/main/ChatQnA/docker_compose/nvidia/gpu/README.md, everything went smoothly.

However, after completing the deployment, I found that the host's large language model was still using the CPU instead of the GPU. After some troubleshooting, I discovered that the CUDA version on Ubuntu was incompatible with the torch version inside TGI Docker, which caused the GPU not to load. I saw a great table in the documentation listing which Docker image versions should be used for different GPU series; this is very helpful. I also suggest providing recommendations for which CUDA versions should be installed on Ubuntu hosts so that users can complete their setup more smoothly and quickly transition to developing upper-level applications.

Overall, OPEA is fantastic.

[ftian1]

thanks for reporting this issue. it's very good feedback. we should have a doc to list all deployment prerequisites before deploying such docker image.

we will add such content in the future release.