Cottonia is a distributed cloud acceleration system designed for AI-native computing needs, combining decentralized compute networks, AI task scheduling frameworks, and intelligent resource governance protocols to provide a scalable, low-latency, and high-utilization computing foundation for AI model training, inference, and generative applications.
The core design of Cottonia is not “single-point compute optimization” but rather the construction of a Distributed Intelligent Orchestration Layer (DIOL).
Through pluggable Resource Adapters, a multi-layer Task Scheduler, and a multi-dimensional Compute Aggregation Protocol (CAP), it achieves unified compute and bandwidth scheduling across regions, devices, and models.