

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,…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Technology Now
See all episodes →
Who owns your AI? Understanding data control, compliance & sovereign AI | Trish Damkroger

How to power AI: smarter cooling and the future of energy | Cullen Bash

Delivering the Milano Cortina Winter Olympics: 1600km fiber optics, 2.6 billion users, and an AI-driven network | Giuseppe Civale
Similar episodes from other shows
More like Technology Now →
The Future of AI Infrastructure with CoreWeave

Why People Are Paying 10x More for AI - and What That Means for the Chip Market | Sid Sheth, d-Matrix

The AI Gold Rush Is Out of Gold | Here's Where VCs Are Still Investing

CoreWeave's CSO on the Business of Building AI Datacenters
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.