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NVIDIA releases CUDA Toolkit 13.5 with Vera Rubin GA support

The GA of Vera Rubin tooling signals that NVIDIA's next-generation platform is now ready for enterprise deployment, so infrastructure teams can begin planning migrations well ahead of hardware ramp-up. The MPS v3 scheduling and SM-partitioning changes matter most for operators running multi-tenant GPU clusters, since they enable finer control of compute sharing without per-shape autotuning. Compared with relying on CUDA 13.x preview builds, this release offers the first stable software path for Vera Rubin training and inference workloads.

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