
OpenAI is adding an energy-technology role as it expands flexible-load, generation and storage strategies across its growing AI data center portfolio.
OpenAI has created a new energy-technology position within its data center organization to manage clean power, storage, and grid flexibility strategies across its growing AI infrastructure portfolio. The role signals that power management is becoming integrated into how the company plans data centers rather than treating energy as a separate procurement decision. This matters because AI data centers may be able to shift computing workloads to reduce power consumption during peak demand periods, potentially providing significant capacity to electricity grids without requiring new power generation projects. The company is already demonstrating this approach through a 25-year agreement to provide flexible demand response at a planned data center campus in Georgia.

The 760 MW Eddystone coal plant will remain online longer as PJM faces rising data center load, generator retirements, and delayed power resources.

AI workloads push data center rack densities beyond the limits of air cooling. Three liquid cooling approaches offer different trade-offs and benefits.

Jetson Orin Nano 2 consumes less power at the same performance level of its predecessor. Source: NVIDIA As AI models become more efficient, more devices can become autonomous, but developers need compact, energy-efficient computers built for edge AI, asserted NVIDIA Corp. The company today introduced NVIDIA Jetson Orin Nano 2, a new entry-level computer for edge AI that it said enables millions of developers worldwide to build systems for physical AI applications. “Today’s small and medium front
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