Portwell, a global innovator in industrial and embedded computing solutions, has released the PCOM-B887. This COM-HPC Client Type Size C module fully complies with the PICMG COM-HPC Revision 1.2 specification. Powered by Intel®Core™ Ultra 200S Series processors, the PCOM-B887 is a high-performance computer-on-module platform engineered specifically for AI-enabled embedded applications.
The module features Intel®Core™ Ultra processor architecture with an integrated Neural Processing Unit (NPU). By combining a CPU, GPU, and dedicated AI acceleration into a single platform, it optimizes AI inference capabilities. Furthermore, it significantly improves power efficiency for dynamic, intelligent edge systems.
Designed for demanding embedded workloads, the PCOM-B887 delivers exceptional computing performance and advanced connectivity. The module supports Intel®Core™ Ultra 200S Series socket processors and an integrated NPU for AI acceleration. Additional features include PCIe Gen5 and Gen4 support, USB4, up to 192GB of DDR5 memory, SATA storage, and multiple display interfaces (DDI and eDP). This powerful combination allows OEMs and system integrators to build scalable platforms. These platforms can easily handle AI inference, high-resolution graphics, and real-time data processing while supporting future technology upgrades.
“Industrial applications today require much more than raw computing performance,” said Eric Lu, Product Manager at Portwell. “Customers need platforms that combine AI acceleration, high-speed I/O, robust graphics, and long product life within a standardized modular architecture. The PCOM-B887 delivers exactly that. By pairing Intel®Core™ Ultra 200S Series processors with the COM-HPC ecosystem, customers can shorten development cycles while maintaining the flexibility to adapt to evolving application requirements.”
The PCOM-B887 is engineered to support a broad range of performance-intensive embedded applications:
Factory Automation: Its powerful CPU cores, high-bandwidth memory, and multi-display capabilities enable responsive HMI control stations, industrial controllers, and intelligent manufacturing equipment that require reliable real-time computing.
Machine Vision: The integrated Intel®Xe-LPG GPU delivers outstanding graphics computing for high-speed image processing. Additionally, hardware-accelerated AV1 encoding and decoding supports low-latency, high-quality video streaming for AI inspection and vision analytics.
Medical Equipment: The platform provides excellent graphics performance for advanced CT, MRI, and diagnostic imaging systems. The socketed processor architecture supports upgrade flexibility, helping OEMs address the long product lifecycles common in medical designs.
Digital Signage: Applications benefit from support for up to four independent 4K displays or a single 8K display, creating immersive visual experiences. Support for SR-IOV GPU virtualization further enables multiple independent display content streams from a single platform.
“The combination of AI acceleration, desktop-class processing, high-speed graphics, and modular COM-HPC architecture makes the PCOM-B887 an ideal foundation for intelligent systems,” added Lu. “Whether customers are building AI inspection equipment, advanced medical devices, industrial edge servers, or immersive digital signage, this module provides the performance and scalability required for evolving AI deployments.”
As AI becomes increasingly integrated into modern industrial systems, computing platforms must provide both high performance and flexibility. The PCOM-B887 combines Intel®Core™ Ultra 200S Series processors, dedicated NPU AI acceleration, and robust I/O into a powerful modular platform. This approach simplifies system integration while maximizing long-term investment value.
From industrial automation to medical imaging and digital signage, the PCOM-B887 enables equipment manufacturers to accelerate AI deployment. It reduces development complexity and helps build scalable embedded solutions that support intelligent computing today and into the future.
