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As AI compute scales, power density – not just total watts – has become the limiting factor. Delivering high-density, high-efficiency power at the point of compute, while responding to fast-changing demands, is now one of the most critical challenges in system design.
Together, ADI and Empower say they will help shape the power delivery architecture for AI and other compute-intensive applications. By enabling power conversion closer to the processor, the combined solution will reportedly shorten the power delivery path and improve efficiency to support higher-performance, higher-density systems. Building on its leadership in high-performance power management, ADI is investing in its system-level platform to deliver a step-change in performance, density, and efficiency from grid to core.
- “AI infrastructure is fundamentally reshaping how power must be delivered, with energy now the most persistent constraint to scaling next-generation systems. ADI already delivers some of the highest-performance power management solutions in the industry, and with Empower we are further expanding our portfolio to help customers re-architect their power systems and achieve the compute densities next-generation AI demands. The impact of this technology extends well beyond AI data centres to any domain where energy constrains what is possible,” said Vincent Roche, CEO and Chair at ADI.
- “Empower was founded to solve the hardest problem in AI power delivery – the power bottleneck that is limiting AI throughput. Our technology enables the power density, speed and efficiency required by AI processors to reach their full potential, unleashing generations of performance improvements. The combination of ADI’s power management platform, scale and operational excellence, along with the system level benefits our merger enables, will accelerate our adoption with customers,” said Tim Phillips, CEO of Empower Semiconductor.
Empower’s silicon capacitors are already in production, and IVR programmes are advancing in close collaboration with leading hyperscalers and AI silicon providers – capabilities ADI will accelerate through its scale, manufacturing, and customer reach.
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