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Intel has developed Hala Point, which is intended to explore and expand brain-inspired AI technologies.
Housed at Sandia National Laboratories, Hala Point builds upon Intel’s earlier system, Pohoiki Springs, by significantly increasing neuron capacity and enhancing performance.
Hala Point is engineered with Intel’s Loihi 2 processor. It aims to address contemporary AI systems’ rising computational demands and environmental impacts by merging deep learning efficiency with new, brain-like learning processes.
Capable of performing up to 20 quadrillion operations per second, Hala Point stands out for its high computational efficiency, outperforming traditional GPU and CPU architectures.
It shows promise for handling real-time AI applications, including complex computational tasks across scientific research, infrastructure management, and advanced AI systems. This capability positions it as a potential tool for future applications that require intensive data processing.
Sandia National Laboratories uses Hala Point for advanced computing research, focusing on various scientific computing issues. This neuromorphic system is a testbed for future commercial technologies that could facilitate continuous learning in machine learning models.
Hala Point is part of Intel’s broader effort to address the sustainability challenges of increasingly large AI models. It highlights the potential for neuromorphic computing to reduce the energy consumption of data-intensive operations.
