Hey everyone!
As ML and LLM engineers, we ve all been there: You spend weeks perfecting a model, optimizing hyperparameters, and getting that RAG pipeline just right. Then comes the "deployment phase," and suddenly you re stuck in:
Dependency Hell: Spending hours debugging why a specific version of bitsandbytes or torch won't play nice with your Docker image.
Infrastructure Overhead: Manually configuring GPU clusters, ingress rules, and auto-scaling just to get a simple API endpoint live.
The "Cold Start" Struggle: Trying to balance cost-efficiency with the need for immediate inference response times.
We built EzDeploy because we believe engineers should spend 90% of their time on the "AI" and only 10% on the "Ops." ### What is EzDeploy? EzDeploy is a fully automated deployment system designed specifically for the modern AI stack. We take your GitHub repo and handle the heavy lifting.
