Quick take:
SingularityNet wants to further the development of its Artificial General Intelligence (AGI) and Ultimately Artificial Superintelligence (ASI).
Some of the funds will also be used to build state-of-the-art High-Performance Computing (HPC) and AI data centres.
The company said its supercomputer is built to optimise the training of Deep Neural Networks (DNNs) and Large Language Models (LLMs).
SingularityNet, the decentralised AI startup building infrastructure for the development of Artificial General Intelligence and ultimately Artificial Superintelligence with Fetch.ai and Ocean Protocol has announced a $53 million initial investment into the project.
Half of the $53 million will be used to build a 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 centres.
The advancements will leverage Ecoblox’s ExaContainer modular data centre (MDC) solutions, which are powered by GPUs and CPUs from Nvidia, AMD and Tenstorrent and AI servers from ASUS and GIGABYTE.
According to SingularityNet, its supercomputer is purpose-built to optimise the training of Deep Neural Networks (DNNs) and Large Language Models (LLMs).
SingularityNet will also use some of the capital to build modular compute containers, which can be positioned around the world and relocated as needed, to serve as a decentralized hub for a broader network of heterogeneous computing devices.
“This initiative strategically aims to improve both decentralization and the handling of AI workloads, ensuring scalability and reliability amidst rising computational demands,” SingularityNet wrote in a press material shared with NFTgators.
Commenting on his company’s decision to invest $53 million in the development of AGI and ASI, SingularityNET and ASI Alliance CEO Dr Ben Goertzel said in a statement: “The dramatic progress the AI field has seen recently is the result of the convergence of multiple aspects including sophisticated learning algorithms and cognitive architectures, and massive amounts of data, processing infrastructure and energy.”
“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.”
Jim Keller, CEO of Tenstorrent added: “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.”
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