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NVIDIA CUDA 13.5 Introduces Vera Rubin GA and GPU Scheduling Updates

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NVIDIA CUDA 13.5 Introduces Vera Rubin GA and GPU Scheduling Updates

NVIDIA CUDA 13.5 brings Vera Rubin platform to general availability, adds GPU scheduling enhancements, and supports Windows on Arm for DGX Station.

NVIDIA has officially released CUDA 13.5, marking a significant milestone in GPU computing and artificial intelligence development. The update transitions NVIDIA Vera Rubin platform support from early developer access to general availability (GA), enabling enterprise production deployments. CUDA 13.5 also introduces enhanced GPU scheduling capabilities, expanded platform compatibility, and updates across its libraries and developer tools.

The Vera Rubin platform, which combines Rubin GPUs and Vera CPUs via NVLink-C2C, is now production-ready with CUDA 13.5. This follows NVIDIA’s June 2026 announcement of Vera Rubin systems featuring up to 144 GPUs per rack and delivering over 7 exaflops of AI-for-science performance and 5 petaflops of native FP64 performance. CUDA 13.5 further optimizes matrix-multiplication heuristics and kernel tuning for Vera Rubin’s NVFP4 and MXFP8 operations, with NVIDIA claiming improved throughput without requiring per-shape autotuning.

CUDA 13.5 extends Windows on Arm support to NVIDIA DGX Station for Windows, building on its GA status in CUDA 13.4. The release also introduces public preview support for CUDA Tile to Single Instruction Multi-Thread (SIMT) interoperability, enabling CUDA Tile kernels to call SIMT library functions directly. Additionally, multi-GPU communication is now supported within CUDA Tile kernels, facilitating advanced workloads such as fused matrix multiplication and cross-GPU reduction.

5 adjusts deployment compatibility for Rubin and later GPUs, which now support Windows Display Driver Model (WDDM) and Microsoft Compute Driver Model (MCDM) but no longer support Tesla Compute Cluster (TCC) mode.


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