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Catalyst Neuromorphic
Open neuromorphic processor architectures with full software stacks. Three generations of silicon, FPGA validated, cloud accessible.
Processors
Catalyst N3 — 128-core neuromorphic SoC with hybrid ANN/SNN computing, hardware virtualization (NeurOS), and on-chip continual learning. 524K–1M neurons, 68 architectural features, 16 per-tile learning accelerators, 4-level memory hierarchy. FPGA validated (19/19 tests). Paper and benchmarks coming soon.
Catalyst N2 — Programmable neuron engine with Loihi 2 feature parity. 5 neuron models (LIF, Izhikevich, ALIF, Sigma-Delta, Resonate), 1-16 bit weights, reward-modulated three-factor learning.
Catalyst N1 — 128-core neuromorphic processor with Loihi 1 feature parity. 131K neurons, programmable STDP learning engine, FPGA-validated with zero failures across 25 RTL testbenches.
Benchmarks
| Benchmark | Accuracy | vs Competition |
|---|---|---|
| SHD | 90.7% | Beats Loihi 1 (89.0%) |
| SSC | 73.5% | Beats Loihi 2 (69.8%) |
| N-MNIST | 99.2% | — |
| GSC KWS | 88.0% | — |
Full N3 benchmark suite with precision sweeps and hardware feature demonstrations — coming soon.
SDK
3,091 SDK tests | 1,011+ RTL tests | CPU, GPU, and FPGA backends
pip install catalyst-cloud