– Intel has unveiled its largest neuromorphic computing system to date, called “Hala Point”. Neuromorphic computing aims to mimic the human brain.
– Hala Point uses 1,152 of Intel’s new Loihi 2 neuromorphic processors, comprising 1.15 billion artificial neurons and 128 billion artificial synapses.
– This neuromorphic system can perform AI workloads 50 times faster and use 100 times less energy than traditional systems like CPUs and GPUs.
– It is capable of 20 quadrillion operations per second (20 petaops) and achieves an energy efficiency of 15 trillion operations per watt for AI workloads.
– Hala Point will initially be deployed at Sandia National Laboratories for research into domains like computing architecture, computer science, and device physics.
– Neuromorphic computing uses neural networks of processor cores representing artificial neurons and synapses, allowing parallel processing like the brain.
– Intel hopes neuromorphic systems could improve large language models and reduce the training costs of AI in the future.
Source: livescience
