ebowwa/compute-orchestrator

AI Summary: The task is to analyze a proposed compute orchestration system, identify critical issues and challenges (legal, technical, economic, security), and propose a revised scope or alternative approach. This involves evaluating the feasibility of the original project goals, considering realistic limitations of free-tier and spot instance providers, and suggesting a more focused and achievable direction.

AI Summary: The task involves developing a comprehensive compute orchestration system that intelligently manages GPU/CPU resources across various providers (spot, fixed, free-tier) to minimize costs. This includes building a core orchestration engine, integrating with multiple cloud providers and free-tier services (Kaggle, Colab, etc.), implementing smart routing and fallback mechanisms, creating a REST API and Python SDK, and developing monitoring and analytics features. A detailed roadmap with milestones and a release schedule is provided.