4.2 Engineering-Grade Features & System Evolution

(1) Composable Compute

Cottonia supports modular task composition.

Developers can use the SDK to register different model inference pipelines (e.g., text generation → code analysis → model reconstruction).Cottonia will automatically decompose and schedule these pipelines.

(2) Heterogeneous Acceleration & Edge Intelligence

Supports collaboration across multiple hardware types (NVIDIA, AMD, Ascend, TPU), enabling edge nodes to participate in non-intensive tasks to reduce overall costs.

Through the Asynchronous Acceleration Protocol (AAP), edge compute resources can still participate in low-latency scenarios via parallel execution.

(3) Agent-Native Orchestration

Cottonia is compatible with mainstream Agent frameworks (such as LangChain, Autogen, MindKit) and offers lightweight APIs.

Agents can directly request compute resources or inference services from Cottonia, which will automatically perform task scheduling and context compression.

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