Step by Step | Deploy GPU-Powered AI App on AWS EKS from Scratch (DeepSeek, Nvidia GPU, Kubernetes) скачать в хорошем качестве

Step by Step | Deploy GPU-Powered AI App on AWS EKS from Scratch (DeepSeek, Nvidia GPU, Kubernetes)

In this video, I walk you through the full process of setting up a GPU-accelerated Amazon EKS (Elastic Kubernetes Service) cluster to deploy large language models like DeepSeek using FastAPI and Traefik. If you've ever wanted to run LLMs on infrastructure using AWS EC2 instances with GPU support, this video is your step-by-step guide. Watch the GPU request video here:    • How to Launch a GPU Enabled EC2 Instance b...   Get the code + deployment docs on GitHub: https://github.com/cloudspeed-channel... We cover everything: IAM roles and policies for EKS + EC2 NodeGroup Installing AWS CLI, Docker, and kubectl Building and pushing Docker images to Amazon ECR Deploying FastAPI + Ollama on Kubernetes with Traefik Setting up GPU support using NVIDIA’s Kubernetes device plugin Full troubleshooting + GPU validation with nvidia-smi Whether you're a machine learning engineer, MLOps enthusiast, fullstack developer or DevOps beginner, this guide gives you a complete, reproducible workflow for GPU-based AI deployment on AWS. Test your API. Launch your LLM. Validate GPU usage. #aws #aiapps #eks #ai #amazonwebservices