AI is growing faster than our infrastructure can handle. By 2030, AI will drive 50% of global data center workloads, but power shortages, 1MW racks, and grid limitations are pushing companies toward microgrids and local generation. Hyperscalers can’t deliver GPUs fast enough, and most organizations still fail due to bad prompts, weak use cases, and IP risks. The future belongs to companies that secure power, protect data, and build hybrid-cloud resilience. by @Ronald_vanLoon | Learn More: https://ift.tt/48ri9N5 Follow my channel today! https://ift.tt/8cTP6EQ #ad #schneiderelectric #schneiderelectricinnovationsummit #isna2025 #innovationsummitlasvegas #energytechleaders @schneiderelectric #ai #data #infrastructure #cloudcomputing #cybersecurity #digitaltransformation #technology #ronaldvanloon
from Ronald van Loon https://www.youtube.com/shorts/kIJL0A5MXDc
Subscribe to:
Post Comments (Atom)
Tau Scaling Law: The Path to Faster AI Inference
The next breakthrough in AI inference may not come from the model itself — it may come from the system underneath it. In this video, @Ronald...
-
AI Trends to lookout for #Telcos from MWC 2024 by @Ronald_vanLoon, Anand Santhanam & Samad Masood | Watch now: https://bit.ly/3xZ2mJm #I...
-
YouTube’s New AI Can Spot Deepfakes of You @YouTube is taking a stand against deepfakes with a new AI tool that alerts creators when their f...
-
Smartest Glasses You’ll Ever Wear Experience the future with Xiaomi’s new smart glasses—where style meets innovation. Tap the frame to chang...
No comments:
Post a Comment