Build a more sustainable AI strategy

Build a more sustainable AI strategy​

 

Build a more sustainable AI strategy​

AI is big business. But it’s also having a big effect on our carbon emissions: The storage, cooling, and processing power required to train a large language model can produce as much CO2 as driving over a million miles in a family car. This article explores sustainable AI, and how making strategic decisions early in the design process – as well as proper data management – can help save your enterprise a fortune, and potentially reduce CO2 emissions.

Key takeaways:

  • Plan your cost and benefits to make sure you get the most out of your investment.
  • Combine software engineering and data science principles for repeatability, efficiency, and simplicity.
  • Start with an in-depth understanding of the data you’re using.
  • Tune your AI models with tools and techniques for efficiency.

White Paper from  Microsoft-logo

    Read the full content

    May HPE provide you with personalized communications about HPE and select HPE partner products, services, offers and events?

    For more information on how HPE manages, uses and protects your information please refer to the HPE Privacy Statement. You can always withdraw or modify your consent to receive marketing communication from HPE. This can be done by using the opt-out and preference mechanism at the bottom of our email marketing communications or by following this link.


    You have been directed to this site by Global IT Research. For more details on our information practices, please see our Privacy Policy, and by accessing this content you agree to our Terms of Use. You can unsubscribe at any time.

    If your Download does not start Automatically, Click Download Whitepaper

    Show More