Code and tutorials for training and deploying models on Akida
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Updated
Oct 2, 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.
Firmware for AkidaTag, the ultra-low-power AIoT board pairing a Nordic nRF5340 with BrainChip's Akida AKD1500: keyword spotting, on-device edge learning, BLE model transfer and firmware updates.
Companion app for BrainChip's Akida AKD1500 edge AI boards such as the AkidaTag and the BrainBoard1500: connect over Bluetooth LE, run the board's AI applications, see what it detects, and update its firmware and models. Android now, iOS to follow.
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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