Real-Time Computing at the Edge: Enabling Mixed-Criticality Workloads

Learn how Intel® Core™ Ultra Processors Series 2 (Arrow Lake), Intel® TCC, and Advantech platforms enable deterministic, AI-ready mixed-criticality edge computing. Download the white paper to explore scalable real-time industrial system design.

Challenges of Real-Time Applications at the Edge

Arrow Lake: Reliable High-End Computing Platform

Tuning Real-Time Capabilities

Enabling Intel TCC with the Advantech BIOS Wizard

Advantech Platforms Powered by Intel® Core™ Ultra Processors Series 2 (Arrow Lake)

Future-Proof All-in-One Integration for Edge Systems

White Paper Overview

Industrial edge systems are moving toward consolidated platforms that run real-time control, AI, and application workloads simultaneously. This creates new challenges around deterministic performance, latency, and system reliability when mixed-criticality workloads share the same resources. Applications such as robotics, industrial automation, and autonomous systems require platforms that can guarantee bounded latency, low jitter, and precise time synchronization while still supporting scalable compute performance.

This white paper explains how Intel® Core™ Ultra Processors Series 2 (Arrow Lake) combined with Intel® Time Coordinated Computing (TCC) enable deterministic execution on a unified x86 edge platform. It covers how platform-level tuning across CPU, memory, interrupts, and I/O helps isolate real-time workloads from non-critical “noisy neighbors,” while still supporting AI acceleration and virtualization.

Download this white paper to learn how to build deterministic, AI-enabled mixed-criticality edge systems on a single scalable platform.