How Equinix Thinks About AI Infrastructure at Scale
A lot of AI projects look great in a pilot. Very few make it to production. At NVIDIA GTC, I sat down with Glenn Dekhayser from Equinix to understand why. And the answer is not what most people expect. It is not just about models. It is about everything around them. We talked about why so much enterprise data is still unusable for AI.
- Siloed systems
- Lack of structure
- No clear path from data to deployment
And then there is infrastructure. Because scaling AI is not just about training a model once. It is about running it reliably, securely, and close to where the data lives. That is where…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.