AkashML
summary
Akash ML is a distributed AI runtime that turns idle hardware into production-grade infrastructure, built GPU native and container-first to run models across globally scattered nodes (examples: a star node in Austin or a micro grid in Nairobi). It supports inference today, promises fine-tuning tomorrow and full training soon, exposes realtime costs via an open model life cycle, uses usage-based pricing and hardware transparency, and enforces per-instance rate limiting and access gating for consistent performance.
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