IBASE launches MI1005 Mini-ITX with Intel Core Ultra 200 series for edge artificial intelligence

The MI1005 mini-ITX board pairs Intel Core Ultra 200H and 200U processors with on‑board ´Artificial Intelligence´ engines, offering up to 99 TOPS for vision analytics and real-time inferencing at the edge.

IBASE Technology Inc. has introduced the MI1005, a new Mini-ITX embedded motherboard aimed at industrial internet of things and edge Artificial Intelligence workloads. The board is built around Intel Core Ultra 200H and 200U series mobile processors, codenamed ´Arrow Lake-U/H´, and supports a configurable TDP up to 65 W. IBASE positions the MI1005 as a compact, rugged foundation for high-performance edge computing where space and power are constrained.

The MI1005 leverages Intel´s hybrid architecture to combine CPU, GPU and neural processing unit capabilities on a single module. Those multi-engine resources collectively provide up to 99 TOPS of ´Artificial Intelligence´ performance, enabling on-board inferencing, vision analytics and real-time data processing without a separate accelerator card. That design reduces system complexity, lowers power draw and shortens data paths between engines, which can be important for latency-sensitive applications.

Target deployments include AI-enabled kiosks, edge servers and automated control systems, especially where operators need continuous analytics or immediate responses from sensor and camera streams. The Mini-ITX form factor keeps the platform small enough for constrained enclosures while still offering the compute headroom to run modern models at the edge. Configurable thermal design power allows integrators to tune performance and energy use for different environments.

IBASE frames the MI1005 as a tool for customers accelerating digital transformation at the edge, combining rugged embedded experience with Intel´s latest mobile processor family. The company highlights the board´s suitability for industrial IoT and other embedded roles that require a balance of performance, energy efficiency and integrated Artificial Intelligence acceleration. Further technical details and availability were not expanded on in the announcement.

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