Hello Embedded Engineers, Developers and Makers! Welcome to In Case You Missed it: Embedded Insights, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

High-performance computing at the Edge involves systems that bring server-class processing closer to where data is generated. Instead of sending private information to the Cloud, devices at the network’s Edge, gateways, sensors, industrial controllers, cameras, and embedded AI platforms, run complex workloads locally. This is beneficial for applications like medical imaging, Edge servers, networking, and enterprise-level LLM (Large Language Model) deployment, and includes markets such as healthcare, industrial automation, smart cities, robotics, automotive, and advanced consumer devices. Its growth is driven by tighter latency requirements, rising data volumes, stronger privacy demands, and the need for more efficient, scalable distributed compute architectures.

CES 2026 will welcome Dr. Lisa Su, Chair and CEO of AMD, as a keynote speaker. Taking place Monday, January 5^th at 6:30p.m., Dr. Su’s address will focus on AMD’s vision for delivering future AI solutions from cloud to enterprise, edge and devices.

Demanding, safety-critical applications today, such as medical equipment, imaging, factory automation and robotics, smart cities, IIoT gateways and edge appliances, and wireless infrastructure, rely on cost-optimized solutions that leverage low-power, flexible configurations, high I/O counts, and more.

Today’s modern world increasingly relies on smart and real-time solutions. Vision AI applications like smart cameras, retail analytics, machine vision for inspection, and security are some of the many applications that can benefit from a compact and ready-to-use development platform designed to bring these innovations to market seamlessly.

Trenz Electronic was recently announced as an “AMD Partner of the Year 2024”.  The company develops, manufactures, sales, and integrates FPGA and embedded systems delivering a wide range of modules, development boards, and custom solutions utilized for industrial automation medical technology, and aerospace.

The embedded computing industry is at a pivotal moment, facing a new wave of workload complexity and infrastructure challenges driven by the rapid rise of AI-driven applications at the edge and the demands of relentless data growth. As digital transformation accelerates across sectors, embedded platforms must adapt to support next-generation requirements across networking, storage, and edge applications. These challenges are redefining performance expectations and creating pressure for embedded computing systems to deliver more — not just in raw compute performance but in connectivity, scalability, and long-term deployment.