Code and tutorials for training and deploying models on Akida
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Updated
Sep 4, 2026 - Jupyter Notebook
Code and tutorials for training and deploying models on Akida
Distribute AI inference across a fleet of BrainChip Akida neuromorphic processors, managed by IBM Spectrum Symphony Community Edition
ARACHNID: A Neuromorphic Camera Array System for Space Situational Awareness.
Native Linux 7.0 PCIe driver for the BrainChip Akida AKD1000 neuromorphic co-processor, built on the in-tree DesignWare eDMA (CONFIG_DW_EDMA) — no vendored headers. Builds where the official akida_dw_edma can't (kernels > 6.9).
Universal compute layer for next-gen AI chips
Run Akida AKD1500 inference on Arduino Nicla boards with the BB15 library. BrainChip fork of Neuromorphyx/BrainBoard1500_arduino_library, with BrainChip examples and demos.
Pure Rust neuromorphic computing — AKD1000 characterization, NPU kernel drivers, ESN echo state networks, cross-substrate inference. AGPL-3.0
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