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ScaleFlux SSDs Sustainability and Energy Efficiency in New AI Culture

  • JB Baker 
  • 2 min read

SSDs and Arm-based solutions enable AI infrastructures to maintain high performance while remaining energy-efficient.

The apocryphal tale of Benjamin Franklin venturing out into a storm with kite and key in hand set the stage for the 21st century’s voracious appetite for electricity.

AI has proved to be a glutton for energy consumption. The amount of computing power necessary for AI/ML is doubling every 6 months. (1) Data center behemoths like AWS, Microsoft, and Google are looking to reduce their carbon footprint, increase efficiency, and reduce energy costs. To comply with this trend, the IT infrastructure is evolving towards a more distributed compute architecture and a broader variety of processor cores and types (such as Arm-based CPUs and SoC processors).

JB Baker, VP, products, ScaleFlux, Inc. says:

Large-scale AI workloads rely heavily on memory and networking, putting much of the current focus on alleviating bottlenecks in these areas. However, with the petabyte and exabyte scale of the datasets used in AI, power and efficiencies of the underlying storage infrastructure are quietly a major challenge. Improving the pipeline between storage, memory, and GPUs with solutions like SSDs enhanced with computational storage capabilities is critical in enabling companies to achieve their efficiency and energy sustainability goals.”

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JB Baker

JB Baker

JB Baker is a successful technology business leader with a 20+ year track record of driving top and bottom line growth through new products for enterprise and data center storage. He joined ScaleFlux in 2018 to lead Product Planning & Marketing as we expand the capabilities of Computational Storage and its adoption in the marketplace.