What if a tiny board could handle heavy edge AI tasks with ease? Here is how it changes system design.
When we build edge AI and AIoT systems, we often face the same problems. Limited space, high performance demands, real-time processing needs, and tight power and connectivity limits. Balancing all of this while keeping the design simple and reliable is not easy, especially for industrial, retail, and transportation applications.
IBASE Technology has developed the IB301 3.5” AI edge board, a compact computing platform that delivers strong multi-core performance for real-time analytics, machine vision, industrial automation, smart retail systems, and edge AI inference. Powered by the AMD Ryzen Embedded 8000 Series processor with up to eight cores and 16 threads, the board supports demanding workloads while maintaining a small footprint suitable for space-constrained designs.
Memory and I/O limitations are another common bottleneck in edge systems. The IB301 supports dual-channel DDR5-5600 memory with up to 256 GB total capacity, allowing fast data handling and smooth multi-tasking. It also integrates a wide range of display outputs, including eDP, LVDS, DisplayPort 2.1, and HDMI 2.1, along with high-speed USB, dual 2.5 GbE LAN, and multiple M.2 slots for 5G/LTE, Wi-Fi, Bluetooth, and other expansion needs. This reduces the need for external adapters and simplifies system design.
For applications deployed in industrial and field environments, reliability and long-term stability are critical. Built in a compact 3.5-inch SBC form factor with industrial-grade design, the IB301 is suited for continuous operation in industrial automation, transportation systems, and edge AI platforms. Its combination of processing power, memory bandwidth, and connectivity helps engineers shorten development cycles and deploy intelligent edge systems faster.
