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AI training and inference workloads create rapid power demand swings unlike anything the traditional electrical grid has experienced, with megawatt-scale load steps occurring in milliseconds. Legacy grid infrastructure and standard standby generation are fundamentally unequipped to handle this level of volatility. This session demonstrates how agile grid-forming technology for battery energy storage systems (BESS) actively stabilizes load volatility in near real-time, bypassing the latency and slow communication delays of conventional systems. Join this showcase to explore:

• How rapid load steps and AI workload dynamics impact power stability and infrastructure reliability
• The mechanics of grid-forming energy storage in mitigating localized power fluctuations instantly
• Real-world testing data and validation methods for high-ramp data center environments
• Strategies for deploying responsive energy storage to bridge the gap between grid capacity and AI compute demands