$NBIS is increasingly looking like much more than another company benefiting from AI infrastructure demand. The real opportunity is in the platform being built around that demand. $NBIS is not just another customer buying accelerators. $NVDA has invested directly into the company, the two are working closely on AI factory architecture and software, and $NBIS is already preparing infrastructure around the latest generations of hardware, including Vera Rubin. That matters because the next phase of AI infrastructure will not be won simply by whoever owns the most GPUs. The advantage will belong to platforms that can deploy them efficiently, connect them with the right networking and software stack, and make that infrastructure easy for customers to use at scale. That is exactly where $NBIS is positioning itself. Token Factory takes the company deeper into inference, model serving and fine-tuning. Eigen AI adds another layer of optimization. Instead of simply selling access to compute, $NBIS is building further up the stack and becoming more involved in how models are deployed, optimized and run in production. That could become increasingly important as inference grows into a much larger part of AI spending. Then there is Physical AI. Robotics, autonomous systems and synthetic-data workloads are enormously compute-intensive, and $NBIS is already building infrastructure for that market together with $NVDA. If robotics becomes one of the next major AI compute cycles, $NBIS will already have the infrastructure and relationships in place to participate. The partnership with $PLTR adds another angle. Sovereign AI is becoming increasingly important as enterprises and governments care more about where models run, where data is stored and who controls the underlying infrastructure. That gives $NBIS exposure to a very different market from traditional cloud demand. At the same time, $MSFT and $META provide another level of validation. These companies do not need basic GPU capacity. They need infrastructure that can operate reliably at enormous scale and meet demanding technical requirements. This is what makes the broader $NBIS opportunity so compelling. Next-generation $NVDA hardware, hyperscale AI infrastructure, inference, model optimization, sovereign AI, enterprise workloads and eventually Physical AI are increasingly converging on the same platform.