We’re just beginning to grasp how Gen AI can transform the power of technology and society. And the truth is, when it comes to its environmental impacts, there's a lot more work ahead. In the second episode of CXO Bytes, Sanjay Podder shares highlights from the AI-Ready Infrastructure Panel at the recent AWS Summit, which featured Prasad Kalyanaraman (VP of Infrastructure Services at AWS), David Isaacs (VP of Government Affairs at the Semiconductor Industry Association), and Neil Thompson (Director at MIT FutureTech). Learn more about the future of AI infrastructure today. Listen to the full episode ➡️ https://lnkd.in/emqZMVPa #greensoftware #greenAI #GenAI #CXO #techbytes
Thanks for giving us an overview of responsible AI usage by optimizing energy efficiency through innovative cooling and custom silicon chips, selecting purpose-fit AI models, reducing dark data, conserving water, and setting sustainable data center standards. Although I have concerns about prioritizing renewable energy for AI over reducing gas-fired power plants, coal, and fuel, my primary worry is the significant lack of transparency and comprehensive hyperscaler data needed to accurately calculate SCI without pre-GHG accounting in emission numbers. Unfortunately, this issue was not addressed.
Digital sustainability & GreenOps advocate and industry speaker, helping people transform their IT services, making them more sustainable and cost effective
3moThe hyperscalers like AWS need to step up and start being actually transparent. It's not good enough that they misreport emissions, using sustainability as a weapon to drive revenue growth. For over 3-years they've been "working" on improving their dysfunctional carbon reporting and in that time dozens of sustainability folk have come and gone from AWS roles, all leaving disenchanted at their leaders refusal to invest time and money in addressing this. Why is this? Is it because the truth doesn't reflect the picture they want to present?? I think it might be