Intel has unveiled the Hala Point neuromorphic computer, powered by over 1,000 new AI chips, which is expected to revolutionize artificial intelligence (AI) research. This advanced computer is designed to mimic the human brain and promises a significant leap in computational efficiency.
The Hala Point system, developed in partnership with the US Department of Energy’s Sandia National Laboratories, boasts an impressive capacity. With 1,152 Loihi 2 chips, it houses a staggering 1.15 billion artificial neurons and 128 billion synapses distributed over 140,544 neuromorphic processing cores. This represents a major advancement from Intel’s previous multi-chip Loihi system, Pohoiki Springs, which featured just 768 Loihi 1 chips.
The neuromorphic approach is a game-changer in the field of computing. The Hala Point system promises to perform AI workloads 50 times faster and use 100 times less energy than conventional computing systems, which typically rely on central processing units (CPUs) and graphics processing units (GPUs). These impressive figures are based on findings uploaded to the preprint server IEEE Explore, although they have not yet undergone peer review.
Sandia National Laboratories’ adoption of the Hala Point system reflects the growing interest in brain-scale computing research. With a focus on device physics, computer architecture, computer science, and informatics, Sandia intends to leverage the system to solve complex problems and advance the frontiers of computational technology.
The significance of Hala Point is further underscored by its status as the world’s largest neuromorphic computer. Housing more than a billion artificial neurons, this brain-based system is contained within the footprint of a microwave oven, setting new benchmarks in compact, high-capacity computing technology.
Hala Point’s arrival in New Mexico presents a major technological milestone. Providing an unrivaled ability to process, respond, and learn from real-life data, this next-generation computing system has the potential to catalyze breakthroughs in AI and shape future technological advancements across various industries.
