Singularity

Singularity Compute, the for-profit infrastructure arm of decentralised AI pioneer SingularityNET, today announced the Phase I launch of its first enterprise-grade NVIDIA GPU cluster, deployed in partnership with leading Swedish data centre operator Conapto at a sustainable state-of-the-art facility in Sweden.
The deployment represents a major milestone in establishing Singularity Compute as the infrastructure backbone for enterprise AI workloads, Artificial Superintelligence (ASI) Alliance ecosystem projects, and the ASI:Cloud AI inference platform. Sweden marks Singularity Compute’s first deployment, providing a foundation for serving both enterprise customers and ASI Alliance partners.
The cluster delivers flexible GPU computing through bare metal rentals, VM-based rentals, and dedicated inference API endpoints, enabling enterprises and institutions to access high-performance compute for training, fine-tuning, inference, and R&amp;D workloads.
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 As Joe Honan, CEO of Singularity Compute, said: “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. Together with the ASI Alliance and our partners, we’re ensuring that equitable, sovereign, powerful compute is accessible to the builders shaping the future of intelligence.”
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 Dr Ben Goertzel, CEO &amp; Founder of SingularityNET and the ASI Alliance, added: “As AI accelerates toward AGI and beyond, access to high-performance, ethically aligned compute is becoming a defining factor in who shapes the future.&nbsp;We need powerful compute that is configured for interoperation with decentralized networks running a rich variety of AI algorithms carrying out tasks for diverse populations.&nbsp;Singularity Compute plays a crucial role in our ecosystem by providing scalable, secure infrastructure to both enterprise partners and decentralised AI projects. The new GPU deployment in Sweden is a meaningful milestone on the road to a truly open, global Artificial Superintelligence.”
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The Swedish GPU deployment is designed to help power a broader decentralised AI stack that spans enterprises, Web3 ecosystems, and the ASI Alliance ecosystem.
The GPU cluster underpins ASI:Cloud, Singularity Compute’s AI model inference service developed jointly with CUDOS (the Web3 arm of CUDO and an ASI Alliance member). ASI:Cloud provides scalable AI inference via OpenAI-compatible APIs, offering a smooth scaling path from serverless inference to dedicated endpoints and dedicated clusters.
The infrastructure is managed and operated by CUDO, an NVIDIA cloud partner with over 20 years of experience in cloud and data centre operations, ensuring enterprise-grade reliability, uptime, and SLA performance.
Early customers are already being onboarded onto the cluster, with further announcements to follow. Additional hardware and new locations are planned as demand grows across enterprise and ASI Alliance partners. Sweden represents the first step in a broader, global rollout strategy.
About Singularity Compute
<a rel="noopener noreferrer nofollow">Singularity Compute</a> is the for-profit infrastructure arm of SingularityNET, focused on delivering high-performance AI compute infrastructure for today’s enterprise AI and tomorrow’s AGI workloads. Built by the teams behind SingularityNET and the Artificial Superintelligence Alliance, Singularity Compute offers enterprise-grade GPU cloud, AI model inference, dedicated GPU clusters and API endpoints to customers around the world.
Enterprises, developers, and organizations interested in accessing the GPU cluster or learning more about Singularity Compute’s services are invited to visit<a rel="noopener noreferrer nofollow"> www.singularitycompute.com</a> for more information and to submit access requests.

Singularity Compute Unveils First NVIDIA GPU Cluster for Enterprise Workloads

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