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AI Is an Energy Glutton. That Needs to Stop.

  • ScaleFlux 
  • 2 min read

AI Is an Energy Glutton. That Needs to Stop.

Artificial intelligence has made headlines for its incredible advancements. Its voracious appetite for energy is also capturing attention. 

5 Ways to Cut AI Energy Consumption

  1. Optimize AI models using techniques like model pruning.
  2. Use more energy-efficient hardware such as arm-based processors.
  3. Manage workloads so AI tasks are done when other demands for energy are low.
  4. Practice distributed computing.
  5. Lessen the need for data centers by integrating processing capabilities directly into storage.

Simply powering the GPUs that NVIDIA expects to ship in 2027 will consume more power than many small countries do in a year, according to Scientific American. A single ChatGPT query consumes nearly 10 times the power required for a Google search, according to a Goldman Sachs report.

But does it have to be this way? Can we put AI on a sustainable diet without sacrificing its performance? Let’s dive into the growing energy demands of AI, the implications for global sustainability and how innovative technologies can help trim AI energy consumption.

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Why Is AI So Hungry?

Several factors create AI’s insatiable appetite for energy, including data volume, complex algorithms, the fact that AI runs 24/7 and high-performance hardware.

AI models, particularly deep learning algorithms, require vast amounts of data to train effectively. The larger the dataset, the more computational power is needed to process it. AI models are also becoming more complex, with deeper neural networks and more parameters that demand increased computational resources.

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ScaleFlux

ScaleFlux

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.