{"title":"Modules","description":"","products":[{"product_id":"akida™-development-kit-pcie-board","title":"AKD1000 Akida™ PCIe Board","description":"\u003cp\u003eThe AKD1000 PCIe Development Board is a compact, high-performance platform designed to accelerate Edge AI development with BrainChip's Akida technology. Featuring the AKD1000 neuromorphic processor in a standard PCIe form factor, it enables seamless integration into existing systems for efficient prototyping, testing, and deployment of AI applications at the edge.\u003c\/p\u003e\n\u003ch2\u003eWhat's in the box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAKD1000 PCIe Board\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCPU: ARM Cortex-M4 32-bit (subblock of Akida)\u003c\/li\u003e\n\u003cli\u003eRAM: 256M×16 bytes LPDDR4 SDRAM @ 2400 MT\/s\u003c\/li\u003e\n\u003cli\u003eFlash: Quad SPI 128Mb NOR, 12.5MHz\u003c\/li\u003e\n\u003cli\u003eInterface: PCIe 2.0 x1 (5 GT\/s)\u003c\/li\u003e\n\u003cli\u003eGPIO: 2 LEDs; onboard Akida core current monitor\u003c\/li\u003e\n\u003cli\u003eOS support: Linux (x86-64 or ARM)\u003c\/li\u003e\n\u003cli\u003eDimensions: 40mm × 76mm × 5.3mm (excl. bracket)\u003c\/li\u003e\n\u003cli\u003eWeight: 15g (excl. bracket)\u003c\/li\u003e\n\u003cli\u003eBracket: Small form factor 1.6″ × 3″ PCIe rear panel bracket included\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDesigned for\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eEdge AI Development \u0026amp; Prototyping\u003c\/li\u003e\n\u003cli\u003eDrop-In AI Acceleration\u003c\/li\u003e\n\u003cli\u003eObject Detection \u0026amp; Classification\u003c\/li\u003e\n\u003cli\u003eIndustrial \u0026amp; Enterprise AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eQuick Start\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePower off host computer\u003c\/li\u003e\n\u003cli\u003eInsert AKD1000 PCIe board into a one-lane PCIe slot (x1 board fits x2\/x4\/x8 slots — ensure correct alignment to avoid damage)\u003c\/li\u003e\n\u003cli\u003ePower on\u003c\/li\u003e\n\u003cli\u003eInstall the Akida driver for Linux\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BrainChip Inc","offers":[{"title":"Default Title","offer_id":41514745659573,"sku":"AKDPCIE AKD1000","price":289.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0581\/1181\/9957\/files\/1.PCIechip-Product1_84df3c4e-b422-4088-bafd-b90c4a4b0016.jpg?v=1746033147"},{"product_id":"akida-m-2-card","title":"AKD1000 M.2 Card E Key","description":"\u003cp\u003eAkida M.2 AKD1000 Card accelerates CNN-based neural network models using BrainChip's ultra energy-efficient, and purely digital, event-based processing architecture. The Akida M.2 AKD1000 can be paired with existing Single-Board Computers to enable edge AI applications. Its low power consumption supports the creation of very compact, low-power, portable and intelligent devices for remote sensors in Healthcare, Enterprise, Industrial, Smart Office, Store and AIoT applications.\u003c\/p\u003e\n\u003ch2\u003eWhat's in the box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAKD1000 M.2 Card E Key (M.2 2260 form factor)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eForm factor: M.2 2260, E Key\u003c\/li\u003e\n\u003cli\u003eHost interface: PCIe PHY 2-lane\u003c\/li\u003e\n\u003cli\u003eMemory interface: LPDDR4 via DMA\u003c\/li\u003e\n\u003cli\u003eCPU: 32-bit ARM Cortex-M4\u003c\/li\u003e\n\u003cli\u003eNPU: 20 × Akida 1.0 neuron mesh\u003c\/li\u003e\n\u003cli\u003ePeak performance: 1.5 TOPs (INT8)\u003c\/li\u003e\n\u003cli\u003eOn-chip memory: 8MB near-compute SRAM\u003c\/li\u003e\n\u003cli\u003eClock frequency: 300MHz\u003c\/li\u003e\n\u003cli\u003ePower: ~1W typical\u003c\/li\u003e\n\u003cli\u003eOperating temperature: 0–70°C\u003c\/li\u003e\n\u003cli\u003eThermal: Fanless, no heatsink required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDesigned for\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDrop-In AI Acceleration\u003c\/li\u003e\n\u003cli\u003eHealthcare \u0026amp; Industrial Sensors\u003c\/li\u003e\n\u003cli\u003eSmart Office \u0026amp; AIoT Applications\u003c\/li\u003e\n\u003cli\u003eCompact Low-Power Device Design\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eQuick Start\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePower off host system\u003c\/li\u003e\n\u003cli\u003eSlide the M.2 card into an M.2 2260 E Key slot at an angle\u003c\/li\u003e\n\u003cli\u003ePress flat and secure with the retention screw\u003c\/li\u003e\n\u003cli\u003ePower on and install the Akida driver\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BrainChip Inc","offers":[{"title":"Default Title","offer_id":45011333808309,"sku":"1000KeyE","price":249.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0581\/1181\/9957\/files\/AKD1000_M.2_E_Key_2.jpg?v=1781209748"},{"product_id":"m-2-card-m-key","title":"AKD1000 M.2 Card B+M Key","description":"\u003cp\u003eThe AKD1000 M.2 Card B+M Key is BrainChip's edge AI accelerator card, powered by the Akida AKD1000 neuromorphic processor. Designed in the M.2 2260 B+M Key form factor, it integrates seamlessly with Raspberry Pi 5 and other compatible host systems to deliver low-power, high-performance neural network inference at the edge.\u003c\/p\u003e\n\u003ch2\u003eWhat's in the box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAKD1000 M.2 Card B+M Key (M.2 2260 form factor)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eForm factor: M.2 2260, B+M Key\u003c\/li\u003e\n\u003cli\u003eHost interface: PCIe PHY 2-lane\u003c\/li\u003e\n\u003cli\u003eMemory interface: LPDDR4 via DMA\u003c\/li\u003e\n\u003cli\u003eCPU: 32-bit ARM Cortex-M4\u003c\/li\u003e\n\u003cli\u003eNPU: 20 × Akida 1.0 neuron mesh\u003c\/li\u003e\n\u003cli\u003ePeak performance: 1.5 TOPs (INT8)\u003c\/li\u003e\n\u003cli\u003eOn-chip memory: 8MB near-compute SRAM\u003c\/li\u003e\n\u003cli\u003eClock frequency: 300MHz\u003c\/li\u003e\n\u003cli\u003ePower: ~1W typical\u003c\/li\u003e\n\u003cli\u003eOperating temperature: 0–70°C\u003c\/li\u003e\n\u003cli\u003eThermal: Fanless, no heatsink required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDesigned for\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDrop-In AI Acceleration\u003c\/li\u003e\n\u003cli\u003eHealthcare \u0026amp; Remote Sensing\u003c\/li\u003e\n\u003cli\u003eIndustrial \u0026amp; AIoT Applications\u003c\/li\u003e\n\u003cli\u003eSmart Home \u0026amp; Consumer Devices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eQuick Start\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePower off host system\u003c\/li\u003e\n\u003cli\u003eSlide the M.2 card into an M.2 2260 B+M Key slot at an angle\u003c\/li\u003e\n\u003cli\u003ePress flat and secure with the retention screw\u003c\/li\u003e\n\u003cli\u003ePower on and install the Akida driver\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BrainChip Inc","offers":[{"title":"Default Title","offer_id":51577470451893,"sku":"1000B+M","price":249.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0581\/1181\/9957\/files\/M.2_Card_B_M_Key.png?v=1757364157"}],"url":"https:\/\/shop.brainchipinc.com\/collections\/modules.oembed","provider":"BrainChip Inc","version":"1.0","type":"link"}