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Hala Point

All articles tagged with #hala point

technology1 year ago

"Intel Introduces World's Largest Neuromorphic Computer with 1.15 Billion Neurons"

Intel has unveiled "Hala Point," the world's largest neuromorphic computer designed to mimic the human brain, powered by 1,152 Loihi 2 processors. This system can perform AI workloads 50 times faster and use 100 times less energy than conventional computing systems. Neuromorphic computing differs from conventional computing due to its architecture, using spiking neural networks to process data in parallel, similar to neurons in the brain. Hala Point achieved high energy efficiency for AI workloads and is a research prototype that could lead to future commercially deployed systems, potentially impacting AI deployments and large language models.

technology1 year ago

"Intel Unveils Hala Point: World's Largest Neuromorphic Computer with 1.15 Billion Neurons"

Intel has unveiled Hala Point, the world's largest neuromorphic computer, featuring 1,152 Loihi 2 chips that enable a total of 1.15 billion artificial neurons and 128 billion synapses. The system, developed in partnership with Sandia National Laboratories, aims to advance brain-scale computing research and solve complex problems in various fields. Intel's focus on neuromorphic computing has led to significant energy efficiency and speed gains, with potential applications in areas such as drug development and high-performance computing. While commercialization is a couple of years away, Intel is committed to providing substantial value and differentiation from existing technologies when it does happen.

technology1 year ago

"Intel and Sandia National Labs Unveil World's Largest Neuromorphic Research System, Hala Point"

Intel and Sandia National Laboratories have unveiled the Hala Point neuromorphic system, featuring 1.15 billion neurons and 1152 Loihi 2 processors, making it the largest neuromorphic system in the world. The system aims to advance research into neuromorphic computing, with a focus on AI inference and energy efficiency. Sandia plans to use the system for large-scale neuromorphic computing research, while Intel is exploring the potential for continuous learning and dataset augmentation. The ultimate goal is to develop commercial systems and refine algorithms for larger workloads.