Tahuna open-sources AI training infra for small teams: train, serve, orchestrate GPUs

Monaim101 · reddit · 2026-09-14

Tahuna, AI training infrastructure built for small teams, is now open source (promised in April). It lets teams train models, run inference, orchestrate GPUs, and experiment with autonomous research without becoming a cloud provider.
Core workflow: init → sync → train → artifacts → serve. Under the hood: content-addressed code/data sync, compute provisioning, reproducible manifest-pinned runs, metrics, checkpoints, artifacts, and inference deployments.
The team is also building Hillclimb, an autonomous experimentation loop that proposes and runs iterative improvements.
First public preview supports RunPod and R2, with Docker self-hosting instructions, a coding-agent setup skill, and examples for SFT, RL agentic search, and MNIST. Repo: github.com/TahunaLabs/tahuna-oss

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