Neuromorphic Chips

Neuromorphic chips are brain-inspired processors: they use Spiking Neural Networks (SNNs) and event-driven computation to achieve ultra-low-power, high-speed AI at the edge.

This technology re-architects computing, moving past von Neumann bottlenecks by mimicking biological neurons and synapses. Chips like Intel’s Loihi 2 (1 million neurons, 128 cores) and IBM’s retired TrueNorth (1 million neurons, 256 million synapses) leverage asynchronous, event-driven processing: computation only occurs when data arrives (a ‘spike’). This model delivers orders-of-magnitude energy efficiency improvements over conventional GPUs or CPUs, operating at power levels as low as ~1W for Loihi 2. Neuromorphic chips are purpose-built for real-time, ultra-low-power applications, specifically robotics, autonomous systems, and always-on edge AI where latency and power consumption are critical factors.

https://open-neuromorphic.org