Mobile & Consumer Electronics Built for All-Day Performance
Meet the power, performance, and efficiency demands of mobile and consumer devices with predictive hardware monitoring and deep silicon intelligence.
Meet the power, performance, and efficiency demands of mobile and consumer devices with predictive hardware monitoring and deep silicon intelligence.
Turning CPUs, GPUs and Accelerators into intelligent self-monitoring systems for optimization and efficiency of power-constrained, application-driven workloads.

Dynamically optimize power consumption and performance under real mobile, consumer, and on-device AI workloads.
Extend battery life under usage
Increase throttle-free performance
Optimize performance-per-watt
Reduce temperature and thermal stress
Gain visibility of systems under functional workloads and understand software impact on silicon to improve quality, performance, and time-to-market.
Improve quality and reliability
Correlate silicon to system to software
Speed up product ramp
Accelerate root cause analysis


Leverage telemetry-based analytics during SoC bring-up and high-volume testing for optimized quality, power efficiency, performance, and cost.
Detect latent and marginal defects
Shorten time to market
Reduce power for each individual die
Increase operational efficiency
Ensure performance and reliability of chiplets, 2.5D and 3D packages with in-die and interconnect visibility.
Maintain chiplet and high-bandwidth interface health
Prevent failures in mission-mode
Enable shift-left integration decisions
Dynamically reduce power of SiP

AVS Pro is a closed-loop hardware-firmware application for reliability and functional-workload aware adaptive voltage scaling (AVS).
This webinar highlights how embedded agents monitor power usage in real-time with a failure prevention layer; we’ll showcase real-world results .
In this webinar we describe and quantify the benefits of using deep data analytics to accelerate SoC product development. Rich Wawrzyniak of Semico Research presents a head-to-head comparison of two companies designing a similar multicore SoC on a 5nm technology node.