I will build a production docker image for your GPU ai model

Hi! Do you need a working, production-ready Docker image for a heavy AI or ML model (video generation, image generation, or a custom GPU pipeline)?

I build Docker images that survive a real cold start, not just a demo. This means baking in every CUDA extension, model checkpoint, and dependency so your image runs fully offline at inference time, with zero surprise downloads breaking production.

What I can do for you:

• Build a multi-stage Dockerfile with pinned CUDA and PyTorch versions
• - Compile custom CUDA extensions from source when pip packages are not enough
• - Bake in model checkpoints and weights so nothing downloads at runtime
• - Verify the image under a real network-isolated cold start, not a warmed container
• - Deploy and troubleshoot on GPU cloud providers, and pick the right one if your first choice does not fit

Why choose me:

• Real production delivery: 21/21 acceptance checks passed, verified offline under docker run with no network
• - I read vendored source code to find hidden dependencies, not just surface-level test output
• - 9+ years in DevOps and infrastructure, so I handle the whole pipeline, not just the Dockerfile

Message me first with your project details.