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A Raspberry Pi 5 with 16GB RAM paired with a BrainChip Akida AKD1000 neuromorphic chip on an M.2 B+M key card, pre-installed and ready to run. It ships with a pre-configured 32GB SD card holding Akida demos and MetaTF, plus a USB-C power supply, so you can boot into edge AI work without sourcing parts. It suits developers prototyping event-based neural networks, visual classification and anomaly detection at the edge. Against a bare Pi 5 or a USB AI accelerator, it gives you a PCIe-attached neuromorphic processor and a working software stack out of the box, but it is a niche dev board rather than a general-purpose speed upgrade.
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Lowest price we've seen: $1,495.00 on Nov 12 at BrainChip. Tracked across 1 store since Nov 12.
The AKD1000 Raspberry Pi 5 Dev Kit pairs a Raspberry Pi 5 single-board computer with an AKD1000 Akida neuromorphic processor on an M.2 B+M Key card. The card comes pre-installed. The kit is designed for edge AI prototyping, visual object classification, anomaly detection and Edge Impulse model deployment.
The Raspberry Pi 5 has a 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU and 16GB of LPDDR4 SDRAM. It runs Linux with MetaTF pre-installed. The included 32GB SD card is pre-configured with Akida demos and MetaTF.
To start wirelessly, connect the USB-C power supply and join the 'akida-devkit' Wi-Fi network on a phone or laptop. Then go to http://10.42.0.1 in a browser with popups enabled. To start wired, connect the power supply and plug the device into a network switch or router with an ethernet cable. Then go to http://<device_ip_address> in a browser. Your DHCP server assigns the IP address.
