Challenges of Code Deployment in DevOps for Deep Learning and AI

Understanding the complexities of code and different technologies like AMIs, VDI, and Kubernetes is crucial. Packaging code in Docker and managing multiple Docker instances can be challenging. DevOps, originally developed for stable production, is now needed for constantly changing R&D projects. We solved the problem of running code on remote machines and provided visibility into the process.