Intel has unveiled the development of a groundbreaking neuromorphic system with 1.15 billion neurons using the Loihi 2 processors. Known as Hala Point, this research prototype is currently deployed at Sandia National Laboratories to support the analysis of future brain-inspired AI.
Hala Point is designed to pave the way for a more efficient and modular Artificial Intelligence (AI) approach. The company believes that the industry requires new scalable approaches, and this system is expected to advance technology efficiency and adaptability at scale. This revolutionary system consists of 1.152 Loihi 2 processors on an Intel 4 process node, supporting up to 1.15 billion neurons and 128 billion synapses across 140,544 neuromorphic processing cores.
Hala Point integrates processing, memory, and communication channels in a parallelized fabric, providing significant memory and communication bandwidth. With capabilities to perform 20 quadrillion operations per second, the system is designed for real-time continuous learning in various AI applications such as scientific problem solving, logistics, smart city infrastructure management, and AI agents.
Researchers at Sandia National Laboratories will utilize Hala Point to solve scientific computing problems in various fields like device physics, computer architecture, and computer science. Compared to its predecessor Pohoiki Springs, Hala Point offers significant improvements in performance and efficiency for real-time processing tasks. The system is capable of executing its full capacity 20 times faster than the human brain and up to 200 times faster at lower capacity, especially in bioinspired models of spiking neural networks.
Intel plans to deploy this neuromorphic research prototype to its research collaborators as part of a new family of large-scale neuromorphic systems that will revolutionize AI technology’s capabilities.
In conclusion, Hala Point marks a significant milestone in the development of efficient and scalable AI systems that can handle complex computational tasks with ease. As we continue to push the boundaries of what’s possible with AI technology, it’s essential that we keep innovating and developing new approaches that can adapt quickly to changing needs while maintaining high levels of efficiency and accuracy.