The Open Compute Project Podcast

TI and the Future of AI Power: Smarter Systems from Grid to Gate

Dec 3, 2025
Chris Suchoski, who leads data center systems engineering at Texas Instruments, shares insights on the evolving landscape of AI power solutions. He discusses the urgent need for faster design cycles in the face of burgeoning AI workloads, detailing how traditional power architectures must adapt. The shift towards high-voltage systems like 800V is explored, emphasizing its implications for cooling and infrastructure. Chris also highlights TI's unique position in leveraging automotive experience to meet new challenges and the significance of collaboration through OCP.
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INSIGHT

Compressed Timelines With Rising Demands

  • AI demand has compressed product development cycles from years to under 12 months.
  • Power, density, sustainability, and reliability requirements still increase despite the shorter timelines.
INSIGHT

800V Shift Affects Whole Facility

  • Power architecture shifts to 800V (±400V) are pushing changes beyond the compute tray to the whole data center.
  • This affects distribution, cooling, storage, and backup systems across the facility.
INSIGHT

Unpredictable AI Loads Stress Power

  • AI workloads are aperiodic and unpredictable compared with traditional compute.
  • That unpredictability stresses power delivery and the wider grid in new ways.
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