> For the complete documentation index, see [llms.txt](https://docs.nesa.ai/nesa/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nesa.ai/nesa/major-innovations/decentralized-execution-for-ai.md).

# Decentralized Execution for AI

Nesa's decentralized inference process is the cornerstone of our autonomous AI oracle network, enabling the first trustless environment where AI computations are performed transparently and reliably on-chain.

This section outlines the design of Nesa's decentralized inference framework, which is composed of several core components: users who submit inference requests, chain contracts responsible for the verification and aggregation of results, and nodes that process these requests.

This framework leverages a two-phase transaction structure, utilizing a commit-reveal paradigm, to safeguard against dishonest behavior and free-riding. This ensures that nodes are incentivized to perform their computations honestly and that users can trust the integrity of the inference results.

The system maintains a decentralized approach by employing smart contracts for the key processes of verification and aggregation, allowing for a scalable network that harnesses the collective computational power of its participants.


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