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Navigating AI’s Energy Challenge: The Crucial Role of Computational Storage

  • ScaleFlux 
  • 2 min read

In an era where artificial intelligence (AI) underpins critical advancements and consumes massive amounts of investment, the critical role data centers play in driving the economy is brought directly onto center stage. The seemingly insatiable appetite for data centers, with all the processing, memory, storage and networking hardware that goes into them has led to an exponential rise in electricity consumption, spotlighting the urgent need for sustainable solutions.

Amidst these growing concerns around providing the power for the AI juggernaut, the introduction of computational storage solutions stands out as a promising innovation, aiming to help meet the surging demands on data center infrastructure with improved energy efficiency.

The Surge in Power Consumption

The relentless expansion of data centers, now pivotal to consumers of global electricity, has escalated concerns about the environmental footprint of our digital endeavors. To put the power demand in perspective, a nuclear power plant produces approximately 1 gigawatt.  Per a recent report, Northern Virginia data centers alone already consume 3.4GW, which would need most of 4 nuclear reactors’ capacity to fulfill. Dominion Energy noted that data center power demand doubled from 2018 to 2022 and is set to double again from 2024 to 2028.  Other markets are seeing similar skyrocketing demand.




ScaleFlux is the pioneer in deploying Computational Storage at scale. Computational Storage is the foundation for modern, data-driven infrastructure that enables responsive performance, affordable scaling, and agile platforms for compute and storage I/O intensive applications. Founded in 2014, ScaleFlux is a well-funded startup with leaders proven to deploy complex computing and solid-state storage solutions in volume.