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How are you preparing the network for AI workloads?
East-west bandwidth, GPU cluster fabrics, data movement between sites: what has changed in your network plans?
This is where people who run enterprise technology compare notes before a decision: what they’re evaluating, what they’d pick again and what went wrong. Most members are practitioners. Anyone who works for a vendor carries their company’s name on every post.
The bar is specifics over opinions: what you ran, at what scale and what you learned. Moderators check each new member’s first posts.
East-west bandwidth, GPU cluster fabrics, data movement between sites: what has changed in your network plans?
Reserved cloud capacity, neoclouds, on-prem clusters, shared internal pools? What are lead times and utilisation like?
Shared GPU pools and model APIs make showback harder. What allocation model is working?