The NVIDIA Virtual GPU software management SDK provides an open platform for ISV’s and organizations deploying NVIDIA virtualization solutions. The SDK enables developers to build monitoring and management solutions that can provide data-driven insights into how their GPU-accelerated environment is performing. User experience is central to ensuring desktop virtualization success, and more organizations are looking for a lifecycle approach that extends from design to operations to support. The NVIDIA Virtual GPU software management SDK exposes valuable information that can aid IT across the lif
NVIDIA Virtual GPU software management SDKHeader files that define management interfaces Pre-compiled libraries implementing management interfaces Example source code API documentation Getting Started User Guide
NVIDIA Virtual GPU software management SDK… Vulkan 1.4 Developer Beta Driver Release Notes The latest Vulkan 1.4 specification can be found here: https://www.khronos.org/registry/vulkan/ NVIDIA provides full Vulkan 1.4 support and functionality on NVIDIA GeForce, RTX and Quadro series graphics card with one of the following Blackwell, Ada Lo… …
… Windows Workstations and Gaming PCs Linux Workstations and Servers Linux Arm Servers Jetson and Drive Autonomous Machines Operating Systems Windows 10 or newer Ubuntu 24.04, and 22.04 WSL-Ubuntu 2.0 CentOS 7+ RHEL 8, 9, 10 SLES 15 Debian 12 Fedora 41 KylinOS 10 OpenSUSE 15 Rocky 8, 9 Ubuntu 22.04, … …
… Download NVIDIA Virtual GPU software management SDK 20.1 Providing GPU, encode, decode, and memory utilization at the host or guest level, with application level monitoring capabilities, allowing IT to intelligently design, manage, and support their end user’s experience Accessing real-time data to… …
… Requirements Supported platforms Linux x86 64 1 Windows x86 64 1 Linux aarch64 SBSA 1 DRIVE OS QNX aarch64 2 DRIVE OS Linux aarch64 2 1 available in the CUDA Desktop Toolkit only 2 available in the Embedded or Drive toolkits only Supported NVIDIA GPU architectures Activity and Callback APIs All arc… …
… Key Features and Benefits GPU Accelerated Newton uses NVIDIA Warp to run high-performance simulations on GPUs, giving roboticists CUDA-level speed without low-level coding—cutting simulations from days to minutes. …
… Isaac Lab runs on Linux with Docker and the NVIDIA Container Toolkit, supporting dual-GPU configurations for maximum performance. …
… The IGX Thor family includes purpose-built modules and kitssuch as IGX T5000 SoM, IGX T7000 Board Kit, and Developer Kitsoffering scalable AI performance, industrial-grade hardware, real-time Linux, rich I/O, and compatibility with both NVIDIA Jetson hardware and software stacks. …
… Nsight Systems visualizes CPU and GPU activity on a unified timeline, revealing CPU bottlenecks in preprocessing, unnecessary synchronization points, and idle GPU time between inference calls. …
… Unlocks CRIU-style workflows for GPU processes: fault-tolerant long jobs, preemption and migration on shared clusters, and fast warm-start of inference workers. Only available in Linux. Inter-process sharing IPC : Share GPU memory across Python processes without copying through the host. …