RELEASE · CODING · #3080
NVIDIA releases CUDA Toolkit 13.5 with GA support for Vera Rubin, MPS v3 and multi‑GPU features
CUDA Toolkit 13.5 is generally available, moving NVIDIA Vera Rubin GPU architecture support to GA and extending Windows on Arm support to NVIDIA DGX Station for Windows. The release adds locality-domain SM partitioning, a major MPS v3 update (weighted timeslicing, SM partition load balancing with borrowing/lending, cgroup routing, per-namespace assignments, polling-based memory accounting), CUDA Tile multi‑GPU unicast/multicast on NVLink/NVSwitch and a SIMT interoperability preview, CUDA Python cuda.core 1.2 enhancements (copy_batch, LaunchConfig), and CCCL 3.5 library updates including tuning APIs and batched Top‑K tied into FlashInfer.
KEY POINTS
- CUDA Toolkit 13.5 is generally available, moving NVIDIA Vera Rubin GPU architecture support to GA and extending Windows on Arm support to NVIDIA DGX Station for Windows.
- The release adds locality-domain SM partitioning, a major MPS v3 update (weighted timeslicing, SM partition load balancing with borrowing/lending, cgroup routing, per-namespace assignments, polling-based memory accounting), CUDA Tile multi‑GPU unicast/multicast on NVLink/NVSwitch and a SIMT interoperability preview, CUDA Python cuda.core 1.2 enhancements (copy_batch, LaunchConfig), and CCCL 3.5 library updates including tuning APIs and batched Top‑K tied into FlashInfer.
- This release moves Vera Rubin to production-ready status and adds scheduler, multi‑GPU and library features that can materially improve performance, resource sharing and scale for AI and accelerated workloads.
WHY IT MATTERS
This release moves Vera Rubin to production-ready status and adds scheduler, multi‑GPU and library features that can materially improve performance, resource sharing and scale for AI and accelerated workloads.