Scalable infrastructure powering the next generation of decentralized AI. Explore updates on high-performance hardware, distributed GPU networks, and compute innovations across the ASI ecosystem.
ASI Compute brings decentralized compute for scalable AI. It is the foundational execution layer for training models, running inference, and powering AI agents at scale. Enabled by CUDOS, it brings together decentralized and federated infrastructure to deliver cost-efficient, globally distributed compute capacity—with no centralized dependencies.
Launch CUDO ComputeLaunch CUDOS IntercloudDeveloper ForumCUDOS Compute
Permissionless, On-Demand AI Compute
Built for developers and researchers, CUDOS Compute is a decentralized network of GPU and CPU nodes designed for real-time, high-performance workloads.
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Tap into token-incentivized compute providers around the world
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Run machine learning pipelines, simulations, and agent inference
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Lower cost and latency than traditional cloud solutions
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Native staking, rewards, and workload validation
Whether you’re training a foundation model or running a fleet of autonomous agents, CUDOS Compute gives you control, scalability, and sovereignty.
CUDOS Intercloud
Federated Cloud Orchestration Layer
CUDOS Intercloud connects decentralized and centralized clouds, enabling intelligent workload distribution across environments. It is designed for multi-agent systems, DePIN architectures, and resilient AI applications.
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Bridge CUDOS Compute with traditional clouds and edge nodes
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Optimize compute across geographies and trust zones
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Enable failover, redundancy, and hybrid orchestration
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Ideal for AI workflows requiring cross-cloud collaboration
Intercloud acts as the connective tissue between compute networks—public, private, and decentralized—making ASI Compute truly global and agent-ready.
