Nvidia released detailed specifications for Vera, its first custom-designed CPU built specifically for AI servers, giving prospective customers enough technical detail to actually evaluate it against alternatives from AMD and Intel rather than just marketing claims. This matters because Nvidia has spent the last two decades being the GPU company that other vendors' CPUs paired with; Vera is Nvidia deciding it wants to own the CPU side of the AI server equation too, tightly coupling it with its own GPUs and NVLink interconnect the way Apple pairs its own CPU and GPU silicon in a Mac, rather than leaving that pairing to whatever CPU a customer happens to buy from AMD or Intel. For infrastructure buyers, a CPU designed specifically to sit next to Nvidia GPUs and communicate over NVLink rather than standard PCIe can mean materially lower latency and higher bandwidth between CPU and GPU memory domains, which matters for workloads that shuttle a lot of data back and forth rather than running compute entirely on the GPU. The tradeoff is the one that comes with any vertically integrated stack: buying into Vera as part of an Nvidia server platform likely means deeper lock-in to Nvidia's ecosystem, at a moment when AMD's Helios rack-scale platform and continued Intel server roadmaps are the main alternatives for teams that want to keep CPU and GPU sourcing decisions separate. Teams currently planning multi-year AI infrastructure commitments now have three viable full-stack vendors to evaluate instead of effectively one, which is a meaningfully different procurement conversation than the market has had for the past several AI infrastructure buildout cycles, and worth factoring into any RFP that extends into 2027 hardware refresh cycles.