Singularity Compute, the for-profit infrastructure arm of decentralized AI pioneer SingularityNET, has taken a tangible step toward building a global AI compute backbone with the Phase I launch of its first enterprise-grade NVIDIA GPU cluster in Sweden. The cluster, deployed in partnership with Swedish data-centre operator Conapto at a modern, sustainability-focused facility, is designed to serve enterprise customers, ASI Alliance partners, and projects running on the ASI:Cloud inference platform.
The new deployment provides flexibility in how organizations consume GPU power: customers can rent bare-metal servers, virtual machines, or access dedicated inference API endpoints for training, fine-tuning, inference and R&D workloads. That modular approach is intended to accommodate everything from bursty development work to production inference for mission-critical applications.
Singularity Compute’s CEO Joe Honan framed the launch as a foundational move for the company’s longer-term ambitions. “With our Phase I launch in Sweden, Singularity Compute is taking a major step toward building the global infrastructure backbone for Artificial Superintelligence. Our enterprise-grade NVIDIA GPUs deliver the performance and reliability modern AI demands, while remaining aligned with our core principles of openness, security and sovereignty,” he said, stressing the company’s focus on equitable and sovereign compute for builders shaping future intelligence.
Dr Ben Goertzel, CEO and founder of SingularityNET and the ASI Alliance, positioned the rollout as part of a broader, ethically oriented push to ensure powerful computers are interoperable with decentralized AI networks. “As AI accelerates toward AGI and beyond, access to high-performance, ethically aligned compute is becoming a defining factor in who shapes the future,” he said, adding that Singularity Compute will provide scalable, secure infrastructure to both enterprise partners and decentralized AI projects.
Supporting ASI Alliance AI Ecosystem
The Swedish deployment is already tied closely to the ASI ecosystem: the GPU cluster underpins ASI:Cloud, Singularity Compute’s model inference service developed jointly with CUDOS, the Web3 arm of CUDO and a member of the ASI Alliance. ASI:Cloud offers OpenAI-compatible APIs and a scaling path from serverless inference to dedicated endpoints and clusters, giving developers a familiar API surface while enabling smoother growth into larger, dedicated capacity.
Operational management of the infrastructure will be handled by CUDO, an NVIDIA cloud partner with decades of experience in cloud and data-centre operations, a move that Singularity Compute says will ensure enterprise-grade reliability, uptime and SLA performance. Early customers are already being onboarded to the new cluster, with additional hardware and new locations planned as demand from enterprises and ASI Alliance partners grows.
Conapto’s role as host is notable because the data centres in Stockholm are explicitly designed for AI-scale workloads and sustainability. Recent announcements from Conapto and its partners highlight the operator’s push to provide high-density, renewable-powered facilities tailored to GPU deployments, supporting rapid, low-latency rollouts of next-generation NVIDIA hardware.
The launch in Sweden marks Singularity Compute’s first deployment and the beginning of what the company describes as a broader global rollout strategy. For now, enterprises, developers and organizations interested in accessing the cluster or learning more about Singularity Compute’s services are invited to visit https://www.singularitycompute.com/ to request access and find further information.
Singularity Compute bills itself as the commercial infrastructure arm of SingularityNET, built by teams from SingularityNET and the Artificial Superintelligence Alliance to deliver GPU cloud, model inference, dedicated GPU clusters and API endpoints for both today’s enterprise AI and the workloads of tomorrow. With this Phase I release, the company aims to anchor that promise in a live, partner-operated environment while expanding capacity and locations as customer demand materializes.
