Deploying an LLM model into Kubernetes/AKS can be complex, especially if you prefer not to manage the following tasks yourself:
- Provisioning of the GPU VMs
- Installing GPU Drivers
- Installing GPU Device Plugin
- Running the model on the GPU nodes
- Exposing an endpoint to interact with the model
- Scaling the infrastructure to meet customer demand
For those looking for a streamlined solution, consider KAITO (Kubernetes AI Toolkit Operator). This tool simplifies the deployment process, allowing you to focus on leveraging your model without the hassle of infrastructure management.
Lab: https://github.com/HoussemDellai/aks-course/tree/main/800_aks_kaito_llm_gpu
Disclaimer: This video is part of my Udemy courses: https://www.udemy.com/course/learn-aks-network-security/
Follow me on Twitter for more content: https://twitter.com/houssemdellai
