Mouser Electronics has released a new eBook in collaboration with onsemi – Powering and Sensing AI: From Cloud Infrastructure to Physical Autonomy.
Artificial intelligence is often viewed through the lens of software, algorithms, and large language models. However, as AI expands from cloud data centres into industrial automation, robotics, autonomous machines, and edge systems, the physical realities of power delivery, sensing, and system efficiency are becoming critical determinants of performance, scalability, and reliability.
The new eBook brings together insights from experts across the AI ecosystem, including specialists from onsemi, Amazon, Google, Meta, and Tesla, to explore how advances in power semiconductors, sensing technologies, and hardware architectures are supporting the breadth of AI applications — from hyperscale data centres to robots and real-world autonomous systems.
As AI workloads continue to grow, the industry faces mounting challenges in delivering the power required to support increasingly dense computing environments. The eBook examines how the move towards higher-voltage architectures and the adoption of wide-bandgap semiconductor technologies, such as silicon carbide (SiC) and gallium nitride (GaN), are helping data centre operators improve efficiency, reduce thermal management demands, and lower overall energy consumption.
The eBook also highlights the growing importance of sensing in physical AI applications. While vision remains a key element of autonomous systems, intelligent machines increasingly rely on a combination of image, force, torque, position, and proximity sensing to interact safely and effectively with the physical world. The eBook explains how improvements in sensing quality can reduce processing overhead, lower power consumption, improve response times, and enable more reliable AI decision-making at the Edge.
Topics covered in the eBook include:
- How growing AI workloads are reshaping power requirements in data centres, Edge infrastructure, and industrial systems.
- The role of silicon carbide (SiC) and gallium nitride (GaN) technologies in improving power efficiency, reducing thermal challenges, and supporting higher power densities.
- The impact of sensing quality on AI accuracy, latency, power consumption, and overall system performance.
- The benefits of intelligent edge sensing, local data processing, and sensor fusion in autonomous and AI-enabled systems.
- Strategies for reducing latency and improving safety in robotics, industrial automation, and collaborative machines.
- System-level approaches to integrating sensing, power delivery, and AI processing to enable physical autonomy.
The eBook also showcases onsemi technologies that support AI applications, including EliteSiC silicon carbide solutions, Hyperlux image sensors, the Treo analog and mixed-signal platform, industrial connectivity solutions, and advanced power management.
