Luml
LLM FrameworksA platform for managing the full machine learning lifecycle—from experiment tracking to model registry and production deployment—while keeping user storage and compute isolated from the control plane.
Features
- Experiment tracking with metric, parameter logging and interactive visualizations
- Centralized model registry for versioning, metadata storage and cross‑context reuse
- Flexible deployments supporting direct‑to‑satellite inference, secret injection and zero‑downtime updates
- Data‑privacy first: client‑side transfers, no platform‑mediated storage access and external compute execution
Recent releases
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We'll surface new releases as they're published — check back soon.
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