FREYA2.0
Machine Learning
FREYA2.0 combines distributed workload orchestration with the Delta Prism graph database and CER experiment tracking - resource management and ML experiment tracking as one system, not two tools bolted together.
Validated across academic institutions, research labs, and enterprise AI teams - the 36,276 ops/sec sustained graph performance below is what that validation actually measured, not a marketing figure.
Key Technologies
Delta Prism
CER
Property Graph Analytics
Research Intelligence
AWS
React + TypeScript
Spring Boot + FastAPI
Docker + Kubernetes
Key Features
- Graph-Based Resource Management with 36,276 ops/sec property graph operations
- Automatic Experiment Tracking with comprehensive metadata capture
- Research Intelligence using historical experiment data for optimization
- Unified Research Platform combining infrastructure management with experiment tracking
- Enterprise Security with JWT authentication and RBAC permissions
Results & Impact
Freya2.0 delivers measurable improvements in both infrastructure efficiency and research productivity:
- 98% backend test coverage with enterprise-grade reliability and comprehensive validation
- 80% reduction in experiment setup overhead through automated tracking and reproducibility management
- 15-20% improvement in resource allocation efficiency using CER performance intelligence
- 30% reduction in workload scheduling time through graph analytics and experiment pattern recognition
- 12% average cost reduction in research infrastructure through intelligent resource optimization
- 36,276 operations/second sustained graph database performance for real-time analytics and decision making