Intel aims for sustainable AI with world’s largest neuromorphic system

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Code-named Hala Point, the large-scale neuromorphic system, initially deployed at Sandia National Laboratories, utilises Intel’s Loihi 2 processor, aims at supporting research for future brain-inspired artificial intelligence , and tackles challenges related to the efficiency and sustainability of today’s AI.

“We hope that research with Hala Point will advance the efficiency and adaptability of large-scale AI technology.” Hala Point’s capabilities could enable future real-time continuous learning for AI applications such as scientific and engineering problem-solving, logistics, smart city infrastructure management, large language models and AI agents.

Intel anticipates that such lessons will lead to practical advancements, such as the ability for LLMs to learn continuously from new data. Advancing on its predecessor, Pohoiki Springs, with numerous improvements, Hala Point now brings neuromorphic performance and efficiency gains to mainstream conventional deep learning models, notably those processing real-time workloads such as video, speech and wireless communications.About Hala Point

The system supports up to 1,15-billion neurons and 128-billion synapses distributed over 140 544 neuromorphic processing cores, consuming a maximum of 2 600 watts of power. It also includes over 2 300 embedded x86 processors for ancillary computations.

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