# Apus Network: Trustless GPU Network for AI on AO #### **Apus Network: Enabling Verifiable Decentralized AI through Deterministic GPU Computing on AO and Arweave** Apus Network is a decentralized GPU computing network built on the AO ecosystem, focusing on providing efficient, secure, and reliable computing services for Artificial Intelligence (AI) and blockchain (Web3) applications. Through innovative technologies, we support the development and operation of AI Agents, aiming to enable complex AI computations in a transparent and fair environment, becoming a pioneer in decentralized AI inference. #### Key features * **Competitive Incentive for AI Models:** Apus Network's economic model competitively incentivizes the development and execution of the best AI models. * **Deterministic Execution for GPUs:** Apus Network provides an open-source AO extension of deterministic GPU. This ensures trustless execution for AI. * **Cost-Effective AI Training and Inference:** Apus Network utilizes GPU mining nodes to perform optimal, trustless model training and inference on Arweave. * **Verifiable AI Inference with Fast Provable Inference Faults:** Fast Provable Inference Faults (FPIF) is a lightweight verification protocol designed for deterministic environments, enabling rapid validation of AI computations #### Democratizing AI Compute Power Built on a decentralized network using AO and Arweave, Apus Network offers a seamless solution for AI tasks that demand substantial computational resources. Our service features the following benefits: * **Public Goods:** Apus Network's economic model incentivizes the development and execution of superior AI models. This competitive environment fosters innovation and ensures continuous advancements in AI technology. * **Energy Efficiency:** We optimize energy consumption by utilizing idle compute power across the network, contributing to a greener computing environment. * **Accessibility:** We provide simple interfaces and comprehensive usage guides, enabling non-professional users to fully leverage AI capabilities. Join Apus Network as we unlock the full potential of edge AI computing. Together, we can build a smarter and more connected future. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://apus-network.gitbook.io/apus-console-docs/apus-network-trustless-gpu-network-for-ai-on-ao.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.