Ganesh delivered deployment readiness for StreamDiffusion and enabled 5090 GPU compatibility in the livepeer/ai-worker repository. He focused on containerization and dependency management, updating Dockerfiles and aligning base images and CUDA versions to support newer PyTorch releases and the Triton ecosystem. By explicitly pinning PyTorch, torchvision, torchaudio, and Triton versions, Ganesh ensured stability and compatibility across evolving hardware and software toolchains. His work standardized environment configurations for the 5090 GPU, improving deployment reliability and maintainability. Utilizing skills in Docker, CI/CD, and CUDA, Ganesh addressed the technical requirements for future-proofing the StreamDiffusion pipeline within a modern DevOps workflow.