On-Demand Webinar: Power Infrastructure Challenges in AI Training Workloads

AI training workloads introduce fast-changing, high-density electrical loads that stress power infrastructure in ways traditional monitoring systems were never designed to handle. In this on-demand webinar, Verdigris Co-Founder & CTO Jonathan Chu and Solutions Advisor Mike Mahedy share key findings from our AI training workloads white paper and explain what data center teams should be monitoring to detect issues earlier and operate safely at scale.

What You’ll Learn

📌 Why AI power loads defy traditional monitoring: How GPU clusters generate power transients up to 100× faster than conventional infrastructure can capture
📌 The hidden cost of electrical uncertainty: Why operators are forced to derate infrastructure, leaving 20–30% of installed GPU capacity stranded.
📌 What recovery looks like at AI scale: How millisecond-scale telemetry enables earlier detection and can help reclaim up to 25% of usable capacity without compromising SLAs.

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Watch the on-demand webinar

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