

Optimizing AI Data Center Deployment
13 snips Mar 7, 2025
Dan Golding, CTO at Applebee Strategy Group, shares his expertise in digital infrastructure and AI deployment. He discusses the evolving landscape of data centers, emphasizing the impact of AI on architecture and network integration. The conversation dives into market dynamics post-DeepSeek AI release, highlighting challenges in scaling infrastructure and the complexities of energy consumption. Additionally, Golding addresses the shift towards private AI and its implications for GPU technologies, showcasing the critical need for sustainable solutions in this rapidly advancing space.
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Dan's Career Journey
- Dan Golding's career started in the early dial-up ISP era, including time at AOL's peak.
- He transitioned to data center analysis, co-founded Iron Mountain data centers, and worked at Google.
Google's Integrated Approach
- Google successfully integrated network and data center teams, treating the data center as a holistic computer.
- This approach contrasts with the siloed enterprise and colo eras.
The End of Fungibility
- The age of fungible servers is over, driven by AI's specialized hardware and network demands.
- Location, hardware specs, and network architecture matter significantly more now.