Liam Whelan’s Post

🌱In a time where data centers account for a significant portion of energy consumption, sustainable solutions are paramount. But with AI being a possible answer, it brings substantial reductions in power usage and operational costs. In this recent article, Andy Connor, our Channel Director, explores how AI is transforming data centers, making them more energy-efficient and eco-friendly. https://lnkd.in/eEnDMYAx #Sustainability #DataCenter #AI #Efficiency

The relationship between AI, sustainability and power quality in data centers is complex as artificial intelligence promises power innovation and overtaxes facilities' energy capabilities. Read more on the nuanced nature of AI and data center operations on Data Center Knowledge: https://lnkd.in/eeMAVEAC #DataCenter #AI #Sustainability #EnergyManagement #TechTrends

OpenAI's Ambitious Data Center Plan: A Game-Changer for US AI Leadership? Imagine a future where the US leads the global AI race, powered by massive data centers across the country. That's the vision OpenAI is pitching to the White House. Here's the scoop: • OpenAI proposes building 5-gigawatt AI data centers in multiple US cities • Each center would use as much energy as 3 million homes 😳 • The plan aims to boost US AI capabilities and national security But here's the challenge: Can our infrastructure handle it? Energy experts are skeptical: • Grid connections face long wait times • Permitting delays are common • Supply chain and labor shortages persist Is this plan too ambitious? At Perifery we are focused on helping companies leverage AI running in their own facility, where you can maintain complete control of the cost and security of your own AI. We've seen amazing examples of what can be done running local models. Is it really worth the wait for these giant models to get so big, with massive evenergy costs, environmental costs, and expensive cloud usage costs? What do you think? • Is this level of energy consumption justified for AI development? • How can we balance technological progress with sustainability? • What other solutions could help the US maintain its AI edge? • Would it be worth trying local AI to accomplish what you need to get it faster, more efficient, and less expensive? Share your thoughts! Let's discuss the future of AI infrastructure and its impact on our communities. #AIInfrastructure #TechInnovation #EnergyFuture #NationalSecurity

AI is the future, but data centers are the key. Data centers are changing to become even more connected, more efficient, and more powerful. And AI is driving much of that change. Data centers offer the processing power and connectivity needed to power AI applications. The future of AI is bright, but data centers are the key to unlocking its full potential. #datacenters #AI #AIdatacenter #colocation

The massive investment in #datacenters to power AI tech comes with immense risks. For one, data centers cannot easily be repurposed if the investment backfires. Analysis: #AIinfrastructure

The massive investment in #datacenters to power AI tech comes with immense risks. For one, data centers cannot easily be repurposed if the investment backfires. Analysis: #AIinfrastructure

Who wins the AI race? For me, the answer to that Q was always the players that would churn out the most cutting-edge models, build innovative hardware, and address the most use-cases in max modalities (voice, numbers, formulas etc), but the other, non-flashy slide of it is what I think would flip the game for even the biggest players in the valley. In this digital existence, we get so involved in the world of “bits” that the world of “atoms” is often neglected by us. Take OpenAI’s GPT-4, for eg. Training which required 21 Bn petaFLOP (10^15 floating point operations). Naturally, it was trained in a data center. Data centers can be rooms or entire floors in multi-use buildings, or they can be as large as 1 million sqft! This means they consume a lot of power and emit a lot of heat. Today, data centers consume 1 to 1.3% of global electricity, which could skyrocket to 20% with all our fancy AI models. Till date, the increasing demand for data centers has been almost entirely offset by increased efficiency but, not anymore? What we might be needing are data centers designed specifically for AI. And what can be your potential bets? - Electrical Infrastructure: Think transmission lines, power backups, water storage, etc. - Low Carbon Power: “Data centers are on a 1-2 year build cycle, but energy availability is 3 years to none.” Translation: You might build the spaceship, but good luck finding rocket fuel - Energy Efficiency: Simple mantra, Power-usage effectiveness! - Cooling Technologies: Shifting from air cooling to liquid/immersion cooling- data centers literally dipped in the pool haha. Which one would you build/bet on before our traditional AI beasts run “out of power”? #AI #investing #data

🚀 The demand for data center capacity is soaring due to the increasing role of data in modern life. The emergence of generative AI (genAI) is expected to further increase demand. However, the construction of new data centers is not keeping pace with demand, leading to a potential supply deficit. Companies and investors across the value chain have an opportunity to address the looming capacity crunch, but they will need to move quickly and collaborate more to do so. So what are you waiting for? Start exploring the opportunities in the data center market today! 💡 #datacenters #AI #investments #opportunities

🚀 The demand for data center capacity is soaring due to the increasing role of data in modern life. The emergence of generative AI (genAI) is expected to further increase demand. However, the construction of new data centers is not keeping pace with demand, leading to a potential supply deficit. Companies and investors across the value chain have an opportunity to address the looming capacity crunch, but they will need to move quickly and collaborate more to do so. So what are you waiting for? Start exploring the opportunities in the data center market today! 💡 #datacenters #AI #investments #opportunities