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  • Empower and Marvell Collaborate on AI Power Delivery Solutions
  • Artificial IntelligenceCloud

Empower and Marvell Collaborate on AI Power Delivery Solutions


Empower and Marvell Collaborate on AI Power Delivery Solutions
  • by: Source Logo
  • |
  • June 20, 2025

Empower Semiconductor and Marvell Technology, Inc. announced a collaboration on June 18, 2025, to develop advanced integrated voltage regulators (IVRs) for Marvell’s custom silicon platforms, targeting high-performance power delivery for AI and cloud data centers. This initiative aims to address the escalating power demands of next-generation processors exceeding 4 kilowatts.

Quick Intel

  • Empower and Marvell collaborate on IVR solutions for AI and cloud platforms.

  • Focuses on high-density power delivery for 4+ kilowatt processors.

  • Leverages Empower’s FinFast™ technology and vertical power architecture.

  • Reduces power transmission losses and boosts efficiency for hyperscalers.

  • Marvell’s stock price at $74.95, per the finance card above.

  • Announced at Barclays Semiconductor Summit, June 2025.

Transforming Power Delivery for AI

The partnership integrates Empower’s FinFast™ technology with Marvell’s custom silicon to move voltage regulation from traditional board-level designs to silicon-integrated or near-chip solutions. “The collaboration with Marvell validates Empower’s technology as a foundational enabler of next-generation AI and cloud infrastructure,” said Tim Phillips, CEO of Empower Semiconductor. This approach delivers power directly at the point of load, reducing transmission losses by up to 85% and supporting the high current demands of advanced XPUs.

Marvell’s Strategic AI Push

Marvell, a leader in data infrastructure semiconductors, sees this collaboration as a step toward enhancing its AI offerings. “Placing integrated voltage regulators (IVR) under, near, or inside the package delivers greater performance and greater efficiency,” said Will Chu, senior vice president and general manager of Custom Cloud Solutions at Marvell. The pre-validated IVR solutions will serve Marvell’s custom XPU customers, aligning with its projected 20% share of the $94 billion AI market, as noted by Wolfe Research.

Financial and Market Context

Marvell’s stock price stands at $74.95, as shown in the finance card above, reflecting a 21.6% revenue growth over the past year. The collaboration supports Marvell’s focus on AI-driven infrastructure, with analysts forecasting strong sales growth in 2025 due to demand for custom AI chips. Empower, a Silicon Valley-based innovator, strengthens its position in the $2.1 billion AI agent market, projected to reach $80.9 billion by 2034, through this partnership.

Technical and Industry Impact

Empower’s vertical power delivery architecture, part of its Crescendo platform, offers 3-4 amperes per square millimeter, doubling the density of typical solutions. This enables efficient power delivery for multi-kilowatt AI processors, reducing data center energy footprints. “Empower’s FinFast technology has uniquely enabled the adoption of vertical power delivery for hyperscalers,” said Phillips at the Barclays Semiconductor Summit. The collaboration, showcased at APEC 2025, positions both companies to meet the growing needs of hyperscalers like AWS, with whom Marvell has a multi-year agreement.

This partnership between Empower and Marvell marks a critical advancement in power management for AI and cloud infrastructure, driving efficiency and performance in the kilowatt-chip era.

 

About Empower Semiconductor

Empower Semiconductor, based in Silicon Valley, powers the AI revolution with its FinFast™ technology by reducing the energy footprint and total cost of ownership of data centers. Its transformational integrated voltage regulators deliver on-demand scalable power with the speed, precision and signal integrity required by AI processors. Empower’s power-management architecture shrinks solution footprint, height and component count, achieving vertical power delivery with unprecedented power density and efficiency.

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