I've got thoughts. Are we modeling this correctly? The load forecasting out past a year, at best, is not possible. This is a volatile technological landscape as Wall Street learned the hard way this week. Markets are one thing, building and investing in expensive inflexible baseload models for something like this is - well, stale thinking stuck in yesterday and special interests.
Diverse resources leveraging faster, flexibly scalable renewable and clean energy assets as leading this will be the smartest path. There is a need for all generation in the mix but save the legacy baseload models and investment for the current needs and get the cost back in line for affordable critical infrastructure. Let other asset types drive for the tech side. They are much better at flexing.
Did you know that data centers use as much electricity in some cases as a small city?
RF President & CEO Tim Gallagher discussed the impact of data centers on the electric grid during a recent presentation to regional business leaders and state legislators in Pennsylvania. He also recognized their importance to the future of the United States.
"Data centers are critical for our financial systems, for our healthcare, for our national security, and for our position among the world's leaders in AI, so we've got to find a way to serve the data centers," he said.
#ForwardTogether #datacenters #AI #electricgrid
Head of Enterprise PMO at Empyrean
1moI believe to truly harness the power of AI - countries, governments, and corporations must first address fundamental issues like power infrastructure and water availability. AI relies heavily on power to operate data centers, servers, and high-performance computing systems that process vast amounts of data. Water is also crucial for cooling these systems, preventing overheating, and ensuring the infrastructure remains sustainable for ongoing AI development and deployment.