Rescheduling AI workloads to save cost and energy
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Updated
Feb 15, 2026 - Python
Rescheduling AI workloads to save cost and energy
Distributed document RAG system with intelligent GPU/CPU orchestration. Auto-discovers heterogeneous nodes, routes workloads adaptively, and achieves 60x+ speedups through VRAM-aware load balancing. Privacy-first architecture with 4 interfaces (CLI, API, MCP, Web UI). Real distributed systems engineering, not just an API wrapper.
Build a decentralized AI infrastructure on Solana, enabling secure on-chain model training and creating a global marketplace for AI inference services.
Legacy version of FlockParser PDF processing system
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