… Possible workarounds: Disable flipping in nvidia-settings uncheck "Allow Flipping" in the "OpenGL Settings" panel Disable UBB run 'nvidia-xconfig --no-ubb' Use a composited desktop Bug fixes NVX multiview per view attributes and geometry passthrough shaders Fix subpass dstSubpass=VK SUBPASS EXTERNA… …
… You may obtain the latest version of CUPTI by Downloading the CUDA Toolkit 13.2.1 Download the CUDA Toolkit 13.2 Update 1 Now Download the CUDA Toolkit 13.2 Now Download the CUPTI Python API 13.0.0 Now Revision History Key Features Trace CUDA API by registering callbacks for API calls of interest F… …
… Starting with CUDA 13.2 and CUDA Driver R595, running on Windows in driver mode WDDM, LMEM usage has been significantly reduced. The effects of this change will be seen primarily in memory-constrained vGPU environments. …
… While modern GPUs boast impressive compute capabilities, their performance is frequently limited by how quickly data can be moved between different devices: CPU memory to GPU memory GPU memory to CPU memory GPU memory to GPU memory Understanding these performance characteristics helps developers: E… …
… Supported configurations: –In driver version 590, MLOPart is only supported on x86-based systems. –In driver version 595 and newer, MLOPart is also supported on ARM-based systems when CDMM is enabled kernel module parameter NVreg CoherentGPUMemoryMode=driver . …
… NUMA-aware pools from cuda.core import DeviceMemoryResource, PinnedMemoryResource, PinnedMemoryResourceOptions, ManagedMemoryResource, ManagedMemoryResourceOptions NUMA-pinned host memory pinned = PinnedMemoryResource PinnedMemoryResourceOptions numa id=0 CUDA graphs: stream capture and explicit co… …
… This is common practice for high-bandwidth host-to-device/device-to-host H2D/D2H memory copies. CUDA backs these allocations with shared anonymous memory, which is then pinned through the NVIDIA driver. …
… The driver includes separate kubelet plugins for GPU allocation, and for ComputeDomains, and when enabled, manages GPU multi-node NVLink domains—grouping GPUs across nodes into secure, high-bandwidth, memory-coherent domains for HPC and AI workloads. …