Data Center Buildouts for AI

Scott Jarnagin (Founder/CEO of Caddis Cloud Solutions (Caddis Cloud Solutions)) talks about the challenges of building modern data centers to handle the growing demands of AI. SHOW: 847 SHOW TRANSCRIPT: The Cloudcast #847 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SHOW NOTES: Caddis Cloud Solutions (homepage) Topic 1 - Welcome to the show. Before we jump into Caddis Cloud, let’s talk a little bit about your background and then what led you to start the company. Topic 2 - Let’s begin by looking at the bigger picture intersection of today’s data centers and the growing demand for AI capabilities. How much of a change will current data centers have to go through to be able to support AI at any sort of scale? Topic 3 - How are cloud providers, hosting companies and enterprises evolving to meet the increased demands driven by AI and other high-intensity computing processes? Topic 4 - How would you typically advise an enterprise to think about matching the AI needs to the current and future capabilities of the market? How do they make sure their AI plans aren’t going to get sidetracked with the wrong datacenter/cloud choice? Topic 5 - Are there elements of government development/involvement for datacenter expansion that companies should be aware of as they make future plans around AI? Topic 6 - How frameworks does Caddis Cloud typically use to help guide companies that are looking at near-term and long-term data center plans FEEDBACK? Email: show at the cloudcast dot net Twitter: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow