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FREYA2.0 ML Orchestration Platform

FREYA2.0 - Distributed Compute Orchestration Platform

Machine Learning

A distributed compute orchestration platform for machine learning workloads. Registers and monitors GPU/CPU compute nodes, schedules job submissions against priority, fair-share and backfill algorithms, and tracks workloads through their full lifecycle. Four role-specific dashboards - System Administrator, ML Researcher, Resource Manager and Operations Monitor - sit on a JWT-authenticated REST API, backed by Delta Prism, a UV-built property graph database. Built in a one-week push in June 2025 and untouched since; currently dormant, not under active development.

Built with
Key features
  • Compute-node registration and heartbeat monitoring, with pluggable FIFO, priority, fair-share and backfill scheduling algorithms
  • Full workload lifecycle - submit, start, cancel, complete - with per-job CPU, GPU, memory and duration requirements
  • Four role-specific dashboards (System Administrator, ML Researcher, Resource Manager, Operations Monitor) on one authenticated API
  • JWT authentication with role-based access control across admin, operator and user roles

and 1 more