Technology
Two words: bandwidth and density. AI training and inference at scale are more supply chain than software demo; you need power, cooling, GPUs, and top-tier networking that doesn’t melt under load. OCI has leaned all the way into that reality, stitching together facilities and partners optimized for AI. The headline example this year is the Abilene, Texas campus brought online by developer Crusoe—an enormous site already powering OpenAI workloads on OCI, with six more buildings to go. It’s the kind of “boring, gigantic” infrastructure story that quietly becomes product velocity six months later. That infrastructure posture lines up neatly with Clay’s background and makes Mike’s life easier on the application side. If the pipes are wide and the platform is predictable, you can actually commit to timelines for clinical AI, call-center copilots, or financial risk engines without crossing your fingers.
