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Edge AI Hangs on Power: Can Chipmakers Meet Up?

Power semiconductors will define how well and how quickly the global economy adopts Edge AI and benefit from its promises. That's why the race is stiffening among chipmakers to offer the most innovative power management components and systems. Who is winning?
Edge AI Hangs on Power: Can Chipmakers Meet Up?
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By Bolaji Ojo

What’s at stake: The stakes for power semiconductor makers in the Edge AI market are immense, encompassing billions of dollars in potential revenue, leadership in technological innovation, and a pivotal role in shaping the future of intelligent, energy-efficient devices. Those who can deliver the most advanced, dependable, and sustainable solutions stand to define the next era of electronics.

Artificial intelligence has rapidly evolved from a futuristic concept to a transformative force reshaping every sector of the global economy. But while much of the early excitement around AI centered on massive data centers and cloud-based supercomputers, the focus in recent years has shifted toward the “edge,” the network’s frontier, where data is generated and decisions must be made instantly.

Edge AI, which refers to the deployment of AI models on local devices rather than in distant clouds, is favored to drive everything from smart cameras and autonomous vehicles to industrial robots and wearable health monitors. As the intelligence of these devices grows, however, so too does the complexity of their power requirements. The race is on among semiconductor manufacturers, device makers, and system integrators to deliver energy-efficient, high-performance solutions that will define the next era of intelligent technology.


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