Insider Brief
- SingularityNET announced a $53 million investment to further the development of Artificial General Intelligence (AGI) and ultimately, Artificial Superintelligence (ASI).
- The funds will be used to build what the organization is calling “the world’s first modular supercomputer dedicated to decentralized AGI evolution and disruptive ASI research.”
- The supercomputer is purpose-built to optimize the training of Deep Neural Networks, Large Language Models and also hybrid neural-symbolic computing architectures.
PRESS RELEASE — SingularityNET, a leader in decentralized AI infrastructure and a founding member of the Artificial Superintelligence Alliance (ASI), announced a $53 million investment to further the development of Artificial General Intelligence (AGI), and ultimately, Artificial Superintelligence (ASI). The first phase, which will utilize half of the $53M initial investment, will be allocated to the creation of the world’s first modular supercomputer dedicated to decentralized AGI evolution and disruptive ASI research, while also building state-of-the-art High-Performance Computing (HPC) and AI data centers. These advancements will harness Ecoblox’s ExaContainer modular data center (MDC) solutions that incorporate cutting-edge GPUs and CPUs from Nvidia, AMD and Tenstorrent, and the most advanced AI servers from ASUS and GIGABYTE.
SingularityNET’s supercomputer is purpose-built to optimize the training of Deep Neural Networks (DNNs), Large Language Models (LLMs), including their aggressively multimodal variations, and also hybrid neural-symbolic computing architectures such as OpenCog Hyperon, tailored for scaling up dynamic AI workloads and AGI applications. It boasts the capacity to concurrently manage extensive and heterogeneous computational tasks, thereby enhancing the speed and efficiency of compute and enabling a paradigmatic shift toward AGI continual learning and self-improvement in high-load scenarios involving evolutionary algorithm processing, large-scale knowledge distillation, pattern matching, and multi-step machine reasoning. To support this, some of the recent hardware purchases include a range of advanced GPU compute systems, such as a Modular Data Center equipped with Nvidia L40S GPUs, AMD Instinct and Genoa, Tenstorrent Wormhole server racks, and servers featuring H200 GPUs, as well as Nvidia GB200 (Nvidia Blackwell) systems.
In addition to advancing the supercomputer, resources will be used for the construction of the first in a series of modular compute containers able to be positioned around the world and relocated as needed. These compute containers will serve as a decentralized hub for a broader network of heterogeneous computing devices leveraging the agent-based computing frameworks created by SingularityNET, its ASI Alliance partners Fetch.ai and Ocean Protocol, and other ecosystem projects such as NuNet and HyperCycle. This initiative strategically aims to improve both decentralization and the handling of AI workloads, ensuring scalability and reliability amidst rising computational demands. SingularityNET and its partners are reinforcing their leadership in the global AI race by integrating cutting-edge hardware with flexible infrastructure solutions.
“The dramatic progress the AI field has seen recently is the result of convergence of multiple aspects including sophisticated learning algorithms and cognitive architectures, and massive amounts of data, processing infrastructure and energy,” notes SingularityNET and ASI Alliance CEO Dr. Ben Goertzel. “The novel neural-symbolic AI approaches developed by the SingularityNET AI team decrease the need for data, processing and energy somewhat relative to standard deep neural nets, however, even given these advances, the need for significant supercomputing facilities remains. Our new hardware facilities will complement our already powerful decentralized computing networks, and increase our ability to deliver cutting-edge AI applications at scale as well as to lead the AI field through the next phases of the AGI and ASI revolutions.”
“The work that Dr. Goertzel and his team are doing to bring AGI into both their supercomputers and into end products is great,” said Jim Keller, CEO of Tenstorrent. “Tenstorrent’s heterogeneous compute featuring our CPU, our RISC-V and our AI accelerator technology are the perfect fit to help them accomplish this goal. Combine that with our open-source software stacks, and I am confident that SingularityNET will have what they need to accomplish their mission.”
In March, Fetch.ai, another founding member of ASI, announced a $100M investment into Fetch Compute to deploy Nvidia H200, H100, and A100 GPUs, creating a more powerful platform for developers. The investments from ASI members create a robust GPU and CPU compute network, reinforcing the alliance’s dedication to developing and researching decentralized AI technologies.
These advancements will culminate in the establishment of ‘ASI Hyperon’ Nodes, which will integrate technologies from ASI partners, including SingularityNET, Fetch.ai, and Ocean Protocol, and in later stages incorporate HyperCycle and NuNet technologies.
By incorporating essential hardware solutions into ASI’s tech stack, these initiatives aim to enhance the utility of the newly merged ASI token within decentralized physical infrastructures. This integration will enable node holders to actively engage with AI systems and grant them stakeholder participation throughout the tech stack.
