N3 Neuromorphic Chip Surpasses Loihi 2
π‘FPGA-verified neuromorphic chip beats Loihi benchmarks β free API access now!
β‘ 30-Second TL;DR
What Changed
N1 achieves Loihi 1 parity: 128 cores, 1K neurons/core
Why It Matters
Advances open neuromorphic hardware beyond Intel, enabling efficient SNN training/inference. Could disrupt GPU dominance for edge AI with low-power spiking networks. Free access accelerates community adoption and funding potential.
What To Do Next
Email henry@catalyst-neuromorphic.com for free N1-N3 cloud API access.
Key Points
- β’N1 achieves Loihi 1 parity: 128 cores, 1K neurons/core
- β’N2 matches Loihi 2 with 14-opcode learning engine, 99.2% N-MNIST
- β’N3 exceeds with 4.2M virtual neurons, 28 opcodes, 8 neuron models
- β’NeurOS virtualizes 680+ networks; scales to 134M neurons multi-chip
- β’All RTL verified, running 14K timesteps/sec on 8-core FPGA
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Original source: Reddit r/MachineLearning β
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