Self-driving networks, GPU clusters, and infrastructure: behind the AI boom | Praveen Jain

Creating effective AI models takes more than just huge amounts of compute. It requires the high-performance networks needed to connect increasingly powerful GPU clusters and move vast amounts of data. With the speed of AI adoption showing no signs of slowing, our entire infrastructure is having to change to keep up, but can the AI being trained also be used to increase the efficiency of the networks supporting it?This week, Technology Now revisits the concepts of networks for AI and AI for networking, to see how much has changed in the last six months. Praveen Jain, SVP & GM Data Center and AI Networking, HPE, joins the show to explain:The difference between a traditional data center and one optimized for AIHow to maximize the efficiency of expensive GPUsWhy infrastructure is becoming self-healingThe vision of an autonomous data center in the future🎧 Listen for an insider's view of the infrastructure powering the AI revolution.Technology Now is HPE’s flagship, award-winning podcast that brings enterprise innovation to life - featuring real conversations with leaders, customers, and experts on how AI, cloud, and networking are shaping the future of business. Join hosts Michael Bird and Sam Jarrell each Thursday for a new episode on how technology drives real change for companies and consumers, and why everyone should be invested in the conversation.This episode is available on YouTube, Apple Podcasts, Spotify and wherever you get your podcasts.About Praveen: https://www.linkedin.com/in/praveen-jain-24b633/