NVIDIA CUDA 13.5 brings production-ready Vera Rubin architecture support

What happened.NVIDIA released CUDA Toolkit 13.5 with General Availability support for the Vera Rubin GPU architecture. This milestone moves the hardware into production.
Why it matters.Deploying next-generation AI architectures requires production-certified compiler tooling before clusters transition from testing to active training. Dynamic GPU sharing in MPS v3 helps infrastructure teams maximize cluster utilization and reduce scheduling contention. Founders operating distributed clusters should audit CUDA 13.5 immediately.
The technical specifications:
- Architecture qualification: CUDA 13.5 certifies Vera Rubin GPUs and Vera CPUs across NVLink-C2C interconnects for enterprise workloads. It integrates pre-tuned kernel heuristics for native NVFP4 and MXFP8 precision formats.
- Resource scheduling: Multi-Process Service v3 introduces weighted timeslicing, namespace-level partition assignments, cgroup v2 routing, and dynamic streaming multiprocessor borrowing.
- Locality domain controls: Developers can configure green-context partitions using the cudaDevSmResourceSplit() API.
- Multi-GPU communication: The CUDA Tile programming model adds unicast and multicast pointer support across NVLink fabrics, alongside preview SIMT calls into NVSHMEM.
- Runtime and Python updates: The release introduces batched memory copies via copy_batch() in CUDA Python 1.2.
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