At the recent Electronica 2026 expo, I had the chance to spend some time at the Quectel booth speaking with Vijay Prakash (Product Manager, Quectel) and exploring their latest lineup of AI-focused single-board computers and smart compute modules. Most of us are already familiar with popular SBC platforms like Raspberry Pi and NVIDIA Jetson boards from NVIDIA. Quectel is now entering this space with its own range of AI-focused smart compute modules and single-board computers, combining its strong background in wireless communication modules with high-performance Qualcomm-based processing platforms.
Their demo lineup ranged from entry-level SBCs like the Quectel Pi L1 to higher-performance platforms such as the Quectel Pi M1 and Pi H1, along with smart compute modules including the SC362Z-AP, SH602HA-AP, SH603ZA-AP, SG882G-AP, and the flagship SP895BD-AP platform capable of delivering up to 100 TOPS AI performance.
From Entry-Level SBCs to 100 TOPS AI Compute
One thing I liked about the presentation was how clearly the product lineup was segmented. The entry-level boards focus on lightweight embedded Linux and Android applications with support for connectivity, displays, cameras, Ethernet, Wi-Fi, Bluetooth, and GNSS.
As we moved toward the medium and premium compute platforms, the focus shifted heavily toward edge AI acceleration. During the discussion, the team demonstrated how these SBCs can run AI workloads like Face Detection , Gesture Recognition , Human Counting and Driver Monitoring Systems
What makes these demos more interesting is that the entire AI inference is happening locally on-device without depending on cloud connectivity. This is becoming increasingly important for industrial automation, robotics, smart surveillance, and privacy-sensitive AI deployments.
The higher-end Quectel Pi H1 and premium smart-compute modules also support operating systems including Linux, Ubuntu, Android, and even Windows 11, making them suitable for industrial HMI systems and advanced embedded applications.
Robotics, Edge AI, and Industrial Applications
One of the highlights at the booth was the company’s focus on robotics-oriented edge AI. The Quectel team demonstrated use cases involving object tracking, QR-based decision making, and autonomous robotic operation using their higher-performance AI modules.
The flagship SP895BD-AP module offering up to 100 TOPS performance was especially interesting since it opens possibilities for applications involving robotics, autonomous systems, machine vision, and real-time AI processing directly at the edge.
The overall ecosystem also looked quite developer-friendly. Quectel already provides documentation, board bring-up resources, GPIO and camera interfacing examples, and AI model integration support through their developer portal, making it easier for developers to quickly start experimenting with these platforms.
Made-in-India Manufacturing and Ecosystem Support
Another noteworthy point from the discussion was local manufacturing. According to the team, several of these SBCs and modules can be manufactured in India depending on customer requirements, especially for companies targeting Make-in-India and PLI-related deployments.
Overall, the interaction gave a good perspective on how single-board computers are evolving beyond educational and hobby ecosystems into serious AI and industrial computing platforms. With the growing demand for edge intelligence, robotics, and embedded AI, platforms like these could become increasingly relevant for developers building next-generation smart devices and industrial systems.
