ASI Alliance members launch first GPU cluster to power decentralized AI infrastructure in Sweden

Artificial Superintelligence Alliance members launch first cloud GPU cluster to power decentralized AI - SiliconANGLE

Artificial Superintelligence Alliance members launch first cloud GPU cluster to power decentralized AI Decentralized artificial intelligence has a lot of ground to make up if it wants to compete with centralized AI providers such as OpenAI Group PBC and Google Cloud, but it's getting a big boost today with the launch of Singularity Compute Inc.'s first cloud computing cluster. The company, which serves as the for-profit infrastructure arm of decentralized AI pioneer SingularityNET and the Artificial Superintelligence Alliance, today announced phase one of its Nvidia-based graphics processing unit cluster, which is now up and running at a sustainable data center facility in Sweden. The deployment is a major milestone for decentralized AI, as Singularity Compute is intended to be the cloud workhorse of one of some of its most influential players. Unlike services such as OpenAI Group PBC's ChatGPT and Google LLC's Gemini, decentralized AI services operate on a community owned network that runs on distributed computing resources and data. Because no one owns these services, users retain full control over their data, benefiting from enhanced privacy. It's also cheaper and incentivizes collaboration among developers and data providers. SingularityNET is the creator of a decentralized AI network that allows users to buy, sell and share AI models, services, applications and training data, contribute compute infrastructure, storage and more. Its goal is to democratize access to AI via an open marketplace that runs on a peer-to-peer, blockchain-based network. Along with Fetch.ai, Ocean Protocol and Cudos, it's also a founding member of the ASI, which is a consortium of decentralized AI companies that's working towards the goal of Artificial General Intelligence. That's loosely defined as AI systems that surpass the intellectual capabilities of humans. At the same time, it promotes the adoption of ethical, open-source AI technologies and equitable distribution. Singularity Compute's GPU cloud cluster will serve as the backbone of ASI:Cloud, which is one of the flagship projects of the ASI. It's a cloud-based service that provides access to developer tools and inference capabilities for creating and running AI applications. Developers can access GPU-based virtual machines and bare metal services, Singularity Compute said, as well as dedicated API endpoints for workloads including model training, fine-tuning and inference. "We are taking a major step toward building the global infrastructure backbone for artificial superintelligence," said Singularity Compute Chief Executive Joe Honan. "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." Cudo Compute Inc., an official cloud partner of Nvidia, will manage and operate Singularity's GPU cluster to ensure "enterprise-grade" reliability, uptime and performance that matches better known GPU platforms such as CoreWeave, the partners said. They added that the cluster is just the first step in its plan to build out what will eventually become a global GPU cloud that will span multiple locations across the world. SingularityNET founder and CEO Ben Goertzel said it's vital for the industry to provide access to high-performance and ethically aligned infrastructure if it wants to compete with centralized AI providers. "We need powerful compute that's configured for interoperation with decentralized networks running a rich variety of AI algorithms carrying out tasks for diverse populations," he said.

Singularity Compute launches NVIDIA GPU cluster to supercharge enterprise AI and Web3 workloads

Singularity Compute, the infrastructure division of AI layer SingularityNET, has announced the launch of its first enterprise-grade NVIDIA GPU cluster. The facility, deployed in Sweden in partnership with sustainable data center operator Conapto, realizes Singularity's goal of establishing a global hardware backbone for the Artificial Superintelligence (ASI) Alliance. The launch will fortify the infrastructure behind decentralized artificial intelligence while giving enterprises on-demand access to compute for AI workloads. This dual purpose deployment provides high-performance computing power for commercial enterprise workloads and supports the ambitious research projects taking place within the ASI ecosystem. Singularity Compute's deployment arrives at a critical juncture in the AI industry, where the demand for raw computing power is outstripping supply. The new facility offers flexible access models including bare metal rentals, virtual machine (VM) based rentals, and dedicated inference API endpoints. This flexibility allows businesses to handle everything from training and fine-tuning heavy models to running R&D workloads. Beyond raw compute, the Swedish cluster will serve as the engine for ASI:Cloud, an AI model inference service developed in collaboration with CUDOS, the Web3 arm of CUDO. The service aims to provide a scalable path for developers, offering OpenAI-compatible APIs that allow projects to move smoothly from serverless inference to dedicated clusters. The infrastructure itself is managed by CUDO, a long-standing NVIDIA cloud partner, ensuring the reliability and uptime required by enterprise clients. Its deployment directly addresses the primary challenges faced by businesses that require access to GPU compute, including vendor lock-in and spiraling costs due to high demand. This "GPU squeeze" means that getting access to high-performance NVIDIA GPUs can involve lengthy waitlists or signing multi-year contracts with providers. The setup offered by Singularity Compute will also benefit teams running projects that require ultra-high performance compute. The majority of public cloud GPU instances are virtualized, which entails a slight reduction in performance compared to running directly on the hardware. By offering bare metal access, Singularity Compute's solution is ideal for training massive AI models in which every 1% of efficiency gained can translate to thousands of dollars in electricity and time saved. Dr. Ben Goertzel, CEO and Founder of SingularityNET and the ASI Alliance, views the physical infrastructure as a prerequisite for the development of Artificial General Intelligence (AGI), explaining: "We need powerful compute that is configured for interoperation with decentralized networks running a rich variety of AI algorithms... The new GPU deployment in Sweden is a meaningful milestone on the road to a truly open, global Artificial Superintelligence." Joe Honan, CEO of Singularity Compute, described the launch as "a major step toward building the global infrastructure backbone for Artificial Superintelligence," emphasizing that the cluster combines enterprise-grade performance with the company's commitment to openness and data sovereignty. Early enterprise customers are already being onboarded, with additional capacity expansions and new geographic locations planned in response to demand. The Swedish rollout is the first phase of a broader global strategy that aims to make powerful, sovereign AI compute widely available to both enterprises and decentralized AI projects. In the process, it adds another infra player to the global GPU race in which enterprises are competing for the computational resources they need to succeed.