Description
For the kit variants, you will need to install Home Assistant on the compute module or SSD yourself. Custom enclosure, custom heat sink, and Ethernet cable included.
Getting Started, Documentation and Support for all variants here
Features & Specifications
- Carrier board for Raspberry Pi Compute Module 4 (CM4)
- CM4 board-to-board connector
- Supports direct boot from NVMe devices (e.g., for CM4 Lite)
- 12 cm x 12 cm
- Compatible with all 32 variants of CM4
- Quad-core Cortex-A72 (ARMv8) 64-bit / 1.5 GHz
- Up to 8 GB RAM
- Up to 32 GB eMMC
- Regulatory approval does not cover wireless variants
- Integrated smart-home wireless (Silicon Labs MGM210P Mighty Gecko Module)
- Supports Zigbee 3.0, OpenThread, and Matter
- 2.4 GHz radio with TX power up to +20 dBm
- 1024 KB flash program memory, 96 KB RAM data memory
- Pre-installed with Zigbee 3.0 firmware (EZSP), can be upgraded
- Expansion slot
- For NVMe SSDs (M-Key)
- M.2 socket M-Key
- Supports 2230, 2242, 2260, and 2280 modules
- PCIe x1
- Note: Google Coral AI Accelerator not working, details in this issue
- Gigabit Ethernet
- 2 x USB 2.0 Type-A host port
- 1 x USB-C 2.0 device port (Silicon Labs CP2102N USBXpress USB bridge)
- UART mode (default): debug USB-to-serial adapter
- USB mode: CM4 USB 2.0 interface for USB recovery
- High-quality stereo audio DAC
- 2 V RMS line-out on 3.5 mm audio jack
- SNR 106 dB
- 2 x Push button
- Red: Factory reset
- Blue: To be determined
- RTC backed by CR2032 battery
- Status LEDs (can be powered off during regular operation)
- Green: Power
- Red: Disk usage
- Yellow: Home Assistant system state
- Power
- 12 V / 2 A through barrel DC power jack (5.5 mm x 2.1 mm)
- Ethernet: PoE+ IEEE 802.3at-2009 Class 3 or 4 (selectable via jumper)
- Typical power usage
- Idle ~1.5 W
- Idle with NVMe ~2.5 W
- Load ~5-9 W
- Enclosure
- 123 mm x 123 mm x 36 mm
- Translucent injection-molded polycarbonate plastic
- Tool-free assembly
- Accommodates custom heat sink (included)
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