SingularityNET Pours $53M into AI Supercomputer

High-performance AI infrastructure and flexible data centers are part of the investment to enhance huge language models and deep neural networks.

A $53 million investment in a modular supercomputer devoted to decentralized artificial general intelligence (AGI) has been disclosed by SingularityNET, a creator of artificial intelligence platforms.

The supercomputer will receive $26.5 million in the first phase of the investment, according to a July 23 announcement. The phase will include modular data center solutions from Ecoblox, processors, and graphics processing units (GPUs) from companies like Nvidia, AMD, and Tenstorrent, as well as AI servers from Asus and Gigabyte.

A high-performance computer system with a scalable and adaptable design that can be readily upgraded and expanded by adding or removing modules is known as a modular supercomputer. Put differently, engineers don’t have to replace the entire system to add extra power as needed. According to SingularityNET, the modular supercomputer will be the first in the world devoted to decentralized artificial general intelligence (AGI) and superintelligence research.

The training of deep neural networks (DNNs), large language models (LLMs) (including multimodal versions), and hybrid neural-symbolic computing architectures (like OpenCog Hyperon) will be optimized by SingularityNET’s supercomputer.

A modular data center with Nvidia L40S GPUs, AMD Instinct and Genoa, Tenstorrent Wormhole server racks, servers with H200 GPUs, and Nvidia GB200 systems are a few of the latest hardware acquisitions made by the platform.

According to Ben Goertzel, CEO of SingularityNET, “the convergence of multiple aspects, including sophisticated learning algorithms and cognitive architectures, as well as massive amounts of data, processing infrastructure, and energy, is the result of the dramatic progress the AI field has seen recently.”

As to the announcement, the infrastructure would facilitate a significant transition towards AGI continuous learning and self-improvement in high-load scenarios involving large-scale knowledge distillation, pattern matching, and multi-step machine reasoning.

The race in AI intensifies.

Following an escalating worldwide controversy over AI development comes SingularityNET’s funding. The Monetary Authority of Singapore (MAS) committed to developing AI-based solutions and quantum computing for its finance sector on July 22, allocating 100 million Singapore dollars, or $74.36 million.

Fetch.ai, one of the founding members of the Artificial Superintelligence Alliance and SingularityNET and Ocean Protocol, revealed in March that it had invested $100 million in its infrastructure initiative, Fetch Compute. With this investment, Nvidia H200, H100, and A100 GPUs will be used to provide a more potent platform for developers.

The advancement of AI has increased the demand for high-performance hardware. Due to the growing demand from tech and manufacturing behemoths that depend on its semiconductors, such as significant clients like Apple, AMD, Intel, Nvidia, and Qualcomm, Taiwan Semiconductor Manufacturing Company became the first Asian company to surpass a trillion-dollar market capitalization on July 20.