DS-AKD1500BM-RP5-A
What's in the box
- Raspberry Pi 5 SBC
- AKD1500 M.2 Card B+M Key
- Pre-configured 32GB SD Card (Akida demos + MetaTF)
- USB-C Power Supply
Designed for
Edge AI Prototyping
Rapid development with AKD1500 + MetaTF
Visual Object Classification
Real-time inference
Anomaly Detection
On-chip learning, no cloud required
Edge Impulse Model Deployment
Deploy models in minutes with Edge Impulse
Quick Start
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1. Connect powerPlug in the USB-C power supply and wait for the device to boot.
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2. Connect wirelesslyJoin the 'akida-devkit' Wi-Fi network from your phone or laptop, then navigate to http://10.42.0.1 in a browser (popups enabled).
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3. Or connect via ethernetPlug the device into a network switch/router with an ethernet cable, then navigate to http://<device_ip_address> in a browser (popups enabled). IP address is assigned by your DHCP server.
SoC
Broadcom BCM2712, 2.4GHz quad-core 64-bit Arm Cortex-A76
GPU
Broadcom VideoCore VII, 800MHz
RAM
8GB LPDDR4 SDRAM
Networking
Gigabit Ethernet, Bluetooth 5.0, Dual-band 802.11ac Wi-Fi
Akida
AKD1500 on M.2 B+M Key (pre-installed)
Interfaces
PCIe 2.0 x1, 2× USB 3.0
Display
Dual 4Kp60 HDMI with HDR
Storage
MicroSD (SDR104); 8/16/32GB eMMC (CM4)
OS
Linux (MetaTF pre-installed)
Compatible boards, cables, and reference platforms.
