The Artificial Super Intelligence (ASI) Alliance has announced that its ASI:Cloud platform has officially exited beta and is now processing live workloads. This marks a significant milestone in providing decentralized, enterprise-grade AI infrastructure to developers and researchers, positioning itself as a competitive alternative to centralized cloud providers like AWS and Azure.
ASI:Cloud is designed to simplify access to high-performance AI infrastructure by unifying compute resources, billing, and developer experience within a single platform. The alliance states this approach addresses growing frustration among AI builders who face fragmented vendor ecosystems and escalating costs in traditional cloud markets. Enterprises are increasingly seeking to repatriate compute workloads from centralized providers due to cost volatility, capacity constraints, and vendor lock-in.
The platform offers permissionless access, allowing developers to authenticate using Web3 wallets without KYC requirements. Payments are currently supported in FET tokens and stablecoins, with fiat payment options planned for the future. Transparent pricing is a core feature, enabling teams to better predict costs compared to traditional cloud environments that often add unpredictable fees for bandwidth, storage, and data egress.
Ben Goertzel, CEO of SingularityNET and the ASI Alliance, described ASI:Cloud as a transition from vision to execution. "Every GPU cycle brings us closer to sustainable decentralized intelligence. ASI:Cloud represents that vision becoming operational infrastructure rather than aspiration," he said.
The platform provides OpenAI-compatible inference endpoints across several leading open-source models, including Llama 3.3 70B, Qwen 3 32B, and Gemma 3 27B. Pricing starts at $0.07 per million input tokens, positioning it as a lower-cost option for developers running inference workloads at scale. This contrasts sharply with centralized cloud platforms, where operational instances of Nvidia's H100 GPU typically cost between $3.90 and $6.98 per hour on providers like AWS and Azure, often excluding additional charges for data transfer and storage.
ASI:Cloud is built through a collaboration between SingularityNET and CUDOS. SingularityNET provides the AI infrastructure backend and model optimization, while CUDOS operates the underlying enterprise-grade compute infrastructure across a global network. Luke Gniwecki, Head of AI Compute Product at CUDOS, noted that enterprises are facing real constraints as AI demand accelerates, citing capacity shortages and vendor lock-in as key challenges.
The launch timing is strategic, as Nvidia's latest GPU allocations are reportedly sold out through 2026, with waitlists extending into next year. Against this backdrop, the decentralized computing market is projected to grow substantially, reaching an estimated $45 billion by 2035.
Developers and researchers can access ASI:Cloud via asicloud.cudos.org, with documentation available at docs.cudos.org.
