CUDA 13.5 brings general-availability support for NVIDIA Vera Rubin

GA support in CUDA is the software milestone that lets customers move production workloads onto new silicon. Making CUDA 13.5 the Vera Rubin GA release tells hyperscalers and neoclouds that the toolchain is stable enough for deployment.

NVIDIA released several posts alongside it. One describes using AI agents to help site-reliability engineers run large GPU clusters, where problems span compute, network, hardware and scheduling. Another covers a Factory Operations Blueprint that coordinates agents to investigate manufacturing failures, citing a Siemens estimate that unplanned downtime costs a large plant $253M a year. A third shows how NeMo converts production evidence into evaluations and fixes to agent harnesses.

The competitive pressure is real. A General Compute executive said this week that NVIDIA chips 'really struggle' with decode on very large models, where fast-token inference commands 3-5x price premiums. DeepSeek's plan to train on Huawei Ascend chips adds pressure from China. Rubin's decode performance will be the number to watch.

The community mood is mixed. On HN, users were angry about reports that encrypted RTX Spark firmware cuts Linux inference speed to 35%. On r/nvidia, users discussed a reported price increase of up to $500 on RTX 50-series cards.