Open-source Infra for ML workloads - Tahuna

Tahuna is an open-source tool for running existing Python ML projects on remote GPUs without maintaining custom SSH, SCP, syncing, logging, artifact, and cleanup scripts. It syncs code and data, provisions the GPU, recreates the environment, runs the configured Python entrypoint, streams logs and metrics, saves artifacts, and terminates the compute afterward. The first release supports RunPod and R2 and includes Docker self-hosting instructions, a coding-agent setup skill, and examples for SFT, RL agentic search, and MNIST. Get involved: fork it, add compute providers, storage backends, and ru