
PRODUCT DETAILS
Extension Board
› HARDWARE OVERVIEW
- The X1012 integrates Power over Ethernet (802.3af/at compliant) with an M.2 NVMe SSD slot (2230, 2242, 2260, 2280 sizes supported). This dual functionality powers the Pi 5 and provides fast storage (up to ~500 MB/s via PCIe 2.0 x1) over a single Ethernet cable—ideal for “POE-powered NVMe for edge setups” like remote IoT nodes, security cameras, or distributed AI systems where cabling simplicity and speed matter.
- In edge computing—think rural sensors, factory floors, or retail kiosks—running power and data lines separately can be a hassle. The X1012’s POE delivers up to 5V at 5A (25W max), enough for the Pi 5 and an SSD, while NVMe offers low-latency, high-IOPS storage for data logging or local processing. This is a step up from microSD or USB drives for reliability and performance in harsh or remote environments.
- Mounted under the Pi 5 via pogo pins and PCIe FFC cable, it’s HAT-compatible (GPIO passthrough) and supports HAT+ STANDBY mode (auto-off on shutdown). This sleek design suits permanent, space-constrained edge installs—say, a wall-mounted weather station or a networked camera rig.
- It allows booting the OS from the NVMe SSD (with firmware tweaks like PCIE_PROBE=1), slashing startup times and boosting app performance—key for edge devices needing quick recovery or real-time tasks.
- The shield also includes additional GPIO pins for further expansion, maintaining access to the Raspberry Pi's full range of ports and interfaces despite its compact design.
› APPLICATIONS
The X1012 POE NVMe Shield is ideal for creating advanced robotics projects and AI applications where remote power delivery and high-speed data storage are critical. Its PoE capability allows for the deployment of Raspberry Pi 5 based systems in locations where power outlets are not available, such as drones, remote sensors, and automated outdoor surveillance systems. The NVMe SSD support enables the handling of data-intensive tasks like real-time video processing, machine learning model training, and large-scale data logging, making it perfect for edge computing devices. Users can further customize their projects by incorporating additional modules via the GPIO expansion, such as sensors, actuators, or wireless communication modules, to create complex, autonomous systems capable of operating in challenging environments.
› DOCUMENTATION
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