Episode

Dynamic Power Solutions for the Future of Energy Storage

Podcast
Not Your Father’s Data Center
Published
Feb 17, 2026
Duration seconds
2260
Processing state
not_requested
Canonical source
https://share.transistor.fm/s/c7d2da71
Audio
https://media.transistor.fm/c7d2da71/3cc831fa.mp3
JSON
/v1/public/podcasts/not-your-father-s-data-center-6239620/episodes/dynamic-power-solutions-for-the-future-of-energy-storage
Markdown
/podcast/not-your-father-s-data-center-6239620/dynamic-power-solutions-for-the-future-of-energy-storage.md

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Summary

In this episode, Raymond Hawkins, host of Not Your Father's Datacenter, sits down with Dr Sai Shivareddy, CEO and founder of Niable. Dr Shivareddy shares his fascinating journey from India, through his academic pursuits in physics and nanomaterials at Cambridge, to founding Niable with a focus on revolutionary battery technology. The discussion centers around the dramatic rise in power density within data centers, the historical shift from lead acid to lithium-ion batteries, and their respective challenges—especially in the face of rapidly spiking AI and GPU workloads. Sai explains Niable’s breakthrough material, enabling batteries to recharge in minutes while maintaining safety and high power density. The pair explore the urgent industry need for new solutions to manage dynamic, unpredictable power loads and introduce Niable’s dynamic response power systems as a novel bridge between supercapacitors and batteries. The episode offers practical insights on how innovative materials science can redefine power management in the next-generation data center. Timestamped Overview 00:00 Intro & Dr Shivareddy’s background 04:51 From lab to real world 06:38 Data centers growing power demand 10:23 Energy Storage Capacitors vs Batteries 15:22 UPS vs BBU power comparison 17:27 Battery stress at full capacity 20:13 GPU power surge trends 25:33 Voltage conversion in power systems 27:56 Dynamic Power Regulation System 30:17 Power System Design and Optimization 34:43 Optimizing GPU power efficiency 36:06 Power solutions for dynamic workloads