WAICF - World AI Cannes Festival’s Post

"Stargate", an AI supercomputer, is a datacentre project by Microsoft and OpenAI that could cost as much as $100 billion, set to launch in 2028, powered by nuclear power. Not sure what happened to climate change? 😕 🤔 Project is expected to be 100 times more costly than some of the biggest existing data centers. So will this AI super computer be used for to replace humans? 🧐 Join our weekly live chat. This week's topic: "The Silent Civil War - when children go woke" 👇 https://lnkd.in/gU595a99 To see more of my posts, join my network and click the 🔔 on my profile. 🧡 Email notification please subscribe to 👉 https://lnkd.in/gDMu9iEn Source https://lnkd.in/g8rhkbDP

As AI's power needs skyrocket, thought leaders in the data center industry say there could be a nuclear option. Giants like AWS are eyeing Small Modular Reactors (SMRs) for future data centers. While typical data centers require 32 MWs of power, AI data centers demand a hefty 80 MWs, pushing the need for innovative, sustainable energy solutions like SMRs, promising a cleaner, self-sustained power future. Read what T5's Tom Mertz has to say about it here: https://lnkd.in/etGzhn3Y And check our latest white paper to learn more about Economics of AI: https://lnkd.in/dswKYrV6

We are at the bottleneck of next big revolution, and it's Power that's holding us back. What if the next big thing in energy innovation is small? Big changes often come in small packages! Rolls-Royce is pioneering nuclear micro-reactors that could redefine how we produce and consume energy. These tiny but mighty reactors offer a new level of efficiency and reliability, making them perfect for a range of applications—from remote areas to high-demand urban centers. It's a game-changer in the making. How do you see these advancements influencing the future of energy and technology? Share your thoughts! Cheers, @Tom #robotics #AI #nuclearpower #futuretech

What do AI and Three Mile Island have in common? AI's growth means soaring energy demand for data centers — and rising emissions. But big tech has big net-zero ambitions too. In this episode, we ask if nuclear energy may be a solution to this growing conundrum and one of the keys to a sustainable AI future. http://ms.spr.ly/6049WqdpZ

I'm a little late on this, but at least I am already a longtime Joe Rogan fan, evidently I am now also a fan of Gladstone AI because of their appearance on the JRE (Joe Rogan Experience) back in May. Might seem a little like life imitating art (The Matrix, anyone?), but it appears as though Compute as a Utility is impacting actual utilities (like power generation) and causing byproducts like moratoriums on building Data Centers within certain (near or past grid-capacity) locales... As if the physical layer requirements of Cloud hosting data centers wasn't already taxing enough, adding the load of continuously trained LLM AI models is pushing Cloud providers like Google to consider building their own Nuclear reactors >wow< But don't take my word for it listen to the CEO & CTO of Gladstone AI: https://lnkd.in/gVifygNx (BTW, this excerpt is from episode 2156 of the JRE show)

Another day, another code-only map! For Day 9 of the #30DayMapChallenge (AI Only), I opted for an AI headline-inspired map over an AI-generated one. 🗞️ ☣️ The Three Mile Island nuclear power plant—once a stark reminder of nuclear energy risks—is set to reopen by 2028 through a 20-year deal with Microsoft. ⚡ In this agreement, Microsoft will invest in restoring the Pennsylvania plant and purchase its full power output for 20 years, highlighting the tech sector’s rising energy demands amid the AI boom. This map was created using the R library tigris (Kyle Walker) for land boundaries and water feature removal, osmdata for the plant polygons, and ggimage for the inset map, all rendered in ggplot2. 🔗 Reproducible code: https://lnkd.in/evrExVPU #rspatial #dataviz #maps #ai #nuclearpower

🚨 Big news in the tech world! 🚨 Google just signed a world-first deal to power its AI data centers using small nuclear reactors (SMRs)! ⚛️💡 Partnering with Kairos Power, the plan is to roll out 6-7 of these reactors, with the first coming online by 2030. It’s all about finding a clean, reliable energy source to keep up with the massive power demands of AI. This move puts Google at the forefront of sustainable tech, following in the footsteps of Microsoft and Amazon. 🌍🔋 #Google #AI #NuclearEnergy #TechNews

SNA+MC 2024 conference: exploring cutting-edge advancements in nuclear applications to enhance simulations, improve reactor safety, and optimize processes through high-performance computing, big data and AI-driven approaches = physics-based deep learning.

🚀 Speed, Data Efficiency, Cost Reduction, Optimised R&D...a great example of how digiLab's trustworthy and explainable AI software is innovating systems modelling and simulation. 🚀 Our Senior Solutions Engineer Ross Allen wrote an article for the latest edition of Nuclear Strategy magazine, explaining one of our projects with the UK Atomic Energy Authority on the CHIMERA fusion test facility, where we demonstrated the power of machine learning in tackling computationally expensive simulations, offering explainable and trustworthy predictions for optimised R&D. Flip to pages 10-11 to read the article: https://lnkd.in/gm-whxGE #TrustworthyAI #MachineLearning #Simulation #FusionEnergy

The nuclear-power industry’s fortunes are increasingly getting hitched to Big Tech. Power demand is rising in parts of the U.S. for the first time in years, much of it driven by the need to build more data centers for AI. That has sent the tech industry on the hunt for massive amounts of energy. Two interesting articles on this. https://lnkd.in/gdKPcgWM https://lnkd.in/gc_wF5kD