{"title":"Development Kits","description":"","products":[{"product_id":"akida-enablement-platform-raspberry-pi","title":"Raspberry Pi 4 Dev Kit with AKD1000 PCIe","description":"\u003cp\u003eThe Raspberry Pi 4 - AKD1000 Dev Kit is an all-in-one development platform combining a Raspberry Pi 4 with BrainChip's Akida AKD1000 neuromorphic processor. Enables low-power neural network inference directly on device for edge AI prototyping and evaluation.\u003c\/p\u003e\n\u003ch2\u003eWhat's in the box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRaspberry Pi 4-based device\u003c\/li\u003e\n\u003cli\u003eAKD1000 PCIe Board (pre-assembled)\u003c\/li\u003e\n\u003cli\u003ePre-configured 32GB SD Card (Akida demos + MetaTF)\u003c\/li\u003e\n\u003cli\u003e12V Power Supply\u003c\/li\u003e\n\u003cli\u003eQuick-Start Guide\u003c\/li\u003e\n\u003cli\u003eScrewdriver\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSoC: Broadcom BCM2711C0, quad-core Arm Cortex-A72 (ARMv8-A) 64-bit @ 1.5GHz\u003c\/li\u003e\n\u003cli\u003eGPU: Broadcom VideoCore VI\u003c\/li\u003e\n\u003cli\u003eRAM: 8GB LPDDR4 SDRAM\u003c\/li\u003e\n\u003cli\u003eNetworking: Gigabit Ethernet; optional Wi-Fi\u003c\/li\u003e\n\u003cli\u003eAkida: AKD1000 PCIe board (pre-installed)\u003c\/li\u003e\n\u003cli\u003eInterfaces: PCIe, 2× DSI, 2× CSI, 2× HDMI\u003c\/li\u003e\n\u003cli\u003eStorage: External MicroSD (CM4 Lite); 8\/16\/32GB eMMC (CM4)\u003c\/li\u003e\n\u003cli\u003ePorts: Hirose U.FL antenna connector, 2× 100-pin connectors\u003c\/li\u003e\n\u003cli\u003eDimensions: 20.06cm × 10.5cm × 3.7cm (exc. carrier board)\u003c\/li\u003e\n\u003cli\u003eOS: Linux (MetaTF pre-installed)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDesigned for\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eEdge AI Prototyping\u003c\/li\u003e\n\u003cli\u003eVisual Object Classification\u003c\/li\u003e\n\u003cli\u003eAnomaly Detection\u003c\/li\u003e\n\u003cli\u003eEdge Impulse Model Deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eQuick Start\u003c\/h2\u003e\n\u003ch3\u003eWireless (Wi-Fi units only)\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eConnect power supply\u003c\/li\u003e\n\u003cli\u003eConnect to 'akida-devkit' Wi-Fi on your phone\/laptop\u003c\/li\u003e\n\u003cli\u003eNavigate to http:\/\/10.42.0.1 in a browser (popups enabled)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWired\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eConnect power supply\u003c\/li\u003e\n\u003cli\u003eConnect device to a network switch\/router with an ethernet cable\u003c\/li\u003e\n\u003cli\u003eNavigate to http:\/\/\u0026lt;device_ip_address\u0026gt; in a browser (popups enabled). IP address assigned by your DHCP server.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BrainChip Inc","offers":[{"title":"Default Title","offer_id":41073764368565,"sku":"RPI4-1000","price":995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0581\/1181\/9957\/files\/BrainChip-Raspberrypiactualproductpicture1-Copy.jpg?v=1706680582"},{"product_id":"akida™-edge-ai-box","title":"Edge AI Box","description":"\u003ch2\u003eWhat's in the box\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eAkida M.2 2280 board (AKD1000 + flash + PMIC)\u003c\/li\u003e\n  \u003cli\u003e1m flat-flex PCIe interconnect cable\u003c\/li\u003e\n  \u003cli\u003eStandoffs and M2.5 hardware (×4)\u003c\/li\u003e\n  \u003cli\u003eQuick-start card · printed pinout reference\u003c\/li\u003e\n  \u003cli\u003eMetaTF SDK 3.4.1 license key (printed)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eProcessor\u003c\/li\u003e\n  \u003cli\u003eArchitecture: Akida 1.0 neuromorphic\u003c\/li\u003e\n  \u003cli\u003eNPU Count: 1024\u003c\/li\u003e\n  \u003cli\u003ePerformance: 1.0 TOPS\u003c\/li\u003e\n  \u003cli\u003eQuantization: 1 \/ 2 \/ 4 \/ 8 bit\u003c\/li\u003e\n  \u003cli\u003ePower\u003c\/li\u003e\n  \u003cli\u003eTypical: 30 mW (KWS workload)\u003c\/li\u003e\n  \u003cli\u003eMaximum: 100 mW\u003c\/li\u003e\n  \u003cli\u003eWake Latency: less than 200 µs\u003c\/li\u003e\n  \u003cli\u003eInterface\u003c\/li\u003e\n  \u003cli\u003eHost: PCIe Gen3 x4\u003c\/li\u003e\n  \u003cli\u003eAUX: I2C 400 kHz · PDM 3.072 MHz\u003c\/li\u003e\n  \u003cli\u003eReset \/ Wake: Active-low GPIO\u003c\/li\u003e\n  \u003cli\u003eForm Factor: M.2 2280 M-key\u003c\/li\u003e\n  \u003cli\u003eEnvironmental\u003c\/li\u003e\n  \u003cli\u003eOperating Temp: -40°C to +85°C\u003c\/li\u003e\n  \u003cli\u003eStorage Temp: -55°C to +125°C\u003c\/li\u003e\n  \u003cli\u003eHumidity: 5% to 95% non-condensing\u003c\/li\u003e\n  \u003cli\u003eShock \/ Vibration: MIL-STD-810G method 514.6\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eDesigned for\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eKeyword spotting: 30 mW · always-on\u003c\/li\u003e\n  \u003cli\u003eVisual wake-word: Sub-5 mW idle\u003c\/li\u003e\n  \u003cli\u003eAnomaly detection: On-chip learning\u003c\/li\u003e\n  \u003cli\u003eVital-sign sensing: Radar + Akida\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eQuick Start\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eUnbox and power on: Connect the 12VDC adapter and press the power button. LED turns green when ready.\u003c\/li\u003e\n  \u003cli\u003eInstall MetaTF SDK: Run pip install akida on your connected host machine to install the SDK and dependencies.\u003c\/li\u003e\n  \u003cli\u003eRun your first model: Launch any of the included example notebooks and deploy a model to the Akida accelerator over PCIe.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BrainChip Inc","offers":[{"title":"Default Title","offer_id":43470870184117,"sku":"","price":1495.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0581\/1181\/9957\/files\/BC_VVDNBox-1.jpg?v=1746033097"},{"product_id":"akida™-development-kit-raspberry-pi-5-draft","title":"Raspberry Pi 5 - AKD1000 Dev Kit","description":"\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003ctable width=\"100%\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 44.1892%;\"\u003e\n\u003cdiv class=\"key-fet\"\u003e\n\u003cul\u003e\n\u003cli\u003eSoC: Broadcom BCM2712 \u003cb data-path-to-node=\"2,0,0\" data-index-in-node=\"28\"\u003e2.4GHz quad-core\u003c\/b\u003e 64-bit Arm Cortex-A76 CPU\u003c\/li\u003e\n\u003cli\u003eGPU: Broadcom 800MHz \u003cb data-index-in-node=\"17\" data-path-to-node=\"2,1,0\"\u003eVideoCore VII GPU\u003c\/b\u003e, supporting OpenGL ES 3.1 and Vulkan 1.2\u003c\/li\u003e\n\u003cli\u003eRAM: 16GB LPDDR4 SDRAM\u003c\/li\u003e\n\u003cli\u003eNetworking: GB Ethernet, Bluetooth 5.0  and Dual-band \u003cb data-index-in-node=\"85\" data-path-to-node=\"6,1,0\"\u003e802.11ac Wi-Fi\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eIncludes Akida AKD1000 on M.2  card installed on header in dev kit\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan style=\"color: #00aaff;\"\u003e\u003ca style=\"color: #00aaff;\" href=\"https:\/\/brainchipinc.com\/metatf-development-environment\" target=\"_blank\"\u003eIncludes Meta TF Software Development Environment\u003c\/a\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"margin-top: 50px;\"\u003e \u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 50.8108%;\"\u003e\n\u003cdiv class=\"key-fet\"\u003e\n\u003cul\u003e\n\u003cli\u003eInterfaces: single-lane PCIe 2.0 interface, \u003cb data-index-in-node=\"0\" data-path-to-node=\"6,0,0\"\u003eUSB Ports:\u003c\/b\u003e 2 × \u003cb data-index-in-node=\"15\" data-path-to-node=\"6,0,0\"\u003eUSB 3.0 ports\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eDual \u003cb data-index-in-node=\"19\" data-path-to-node=\"2,2,0\"\u003e4Kp60 HDMI\u003c\/b\u003e display output with HDR support and a 4Kp60 HEVC decoder.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eSmall form factor PCle 1.6\" x 3\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eStorage: External \u003cb data-index-in-node=\"0\" data-path-to-node=\"4,1,0\"\u003eMicroSD Slot:\u003c\/b\u003e Supports high-speed \u003cb data-index-in-node=\"34\" data-path-to-node=\"4,1,0\"\u003eSDR104 mode\u003c\/b\u003e; on-board 8GB\/16GB\/32GB eMMC (CM4)\u003c\/li\u003e\n\u003cli\u003ePorts: Hirose U.FL antenna connector, 2x 100-pin high-density connectors\u003c\/li\u003e\n\u003cli\u003e20.06cm x 10.5cm x 3.7cm (exc. carrier board)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #00aaff;\"\u003e\u003ca href=\"https:\/\/doc.brainchipinc.com\/user_guide\/user_guide.html\" style=\"color: #00aaff;\"\u003eIncludes User Guide and examples of Akida Models\u003c\/a\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"BrainChip Inc","offers":[{"title":"Default Title","offer_id":52569612779701,"sku":"RPI5-1000","price":1495.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0581\/1181\/9957\/files\/sFC9KW10eY8Lry4lQDyD96SvoRoE0thULVEFTnb4YsO32B0atVrcMHVJhVkR_c7fba211-d0f2-49bc-b97d-33395a01a831.webp?v=1769563448"}],"url":"https:\/\/shop.brainchipinc.com\/collections\/development-kits.oembed","provider":"BrainChip Inc","version":"1.0","type":"link"}