Why battery storage is becoming the engine of AI growth

For most energy storage projects, some of the main goals include earning capacity payments, building resilience and participating in demand-response programs. A new framework is beginning to emerge for hyperscalers and other large load users as the AI boom keeps power demand soaring: Compute Per Megawatt (CPM).

Rather than viewing behind-the-meter storage as a revenue-generating asset for data centers, CPM reframes it as one that can enable new levels of computing and unlock capacity despite constrained grid access. The battery effectively acts like a lever to improve IT performance.

“Storage doesn’t make individual GPUs more efficient, but it removes the constraints that prevent the IT side from using its hardware to full potential,” explained Alejandro de Diego, a market analyst at Modo Energy. He told ESS News that normally, IT-side techniques like power capping and workload scheduling define the amount of compute a company can pull from a given power budget. “Storage expands what that budget is.”

Part of that shift stems from the unique load profile of data centers, where thousands of processors can spike and dramatically fall in a matter of seconds. In de Diego’s eyes, that’s why energy management is where storage’s key value add lies for data centers. Without it, a project’s grid connection must match the worst possible peak in order to ensure continuous supply. That gets expensive and utilities are often hesitant to sign off on high loads.