OpenUSD for Developers
…AI simulation workflows by integrating OpenUSD libraries. NVIDIA Software License Agreement USD 25.05, Python 3.11 for Windows USD 25.05, Python 3.11 for Linux USD Resources Alliance for OpenUSD…
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How are NVIDIA NemoClaw, Hermes Agent, and H Company expanding agent capabilities?
NVIDIA NemoClaw for building autonomous AI agents now supports all NVIDIA client systems—GeForce RTX, NVIDIA RTX PRO, NVIDIA DGX Spark, and NVIDIA DGX Station for Windows—through Linux and Windows Subsystem for Linux (WSL). This enables you to easily set up and sandbox an agent, with optimized local models handpicked for your hardware. The update also includes enhancements to the installer to make it easier and more seamless. NemoClaw also now supports running Hermes Agent as an option. This week, Hermes Agent also released native Windows support, including both a command-line interface, alon
Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA | NVIDIA Technical BlogIntegrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries | NVIDIA Technical Blog
…Quick start (Docker – Recommended): # Set your NVIDIA API key first export NVIDIA_API_KEY=your_api_key_here # Linux/macOS # or set NVIDIA_API_KEY=your_api_key_here # Windows # Build wheels…
Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20 | NVIDIA Technical Blog
…One VM hosted a CUDA-based particle simulation running in a Linux Docker container, while the other provided a Windows 11 desktop for a knowledge worker. These two distinctly different workloads were…
Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5 | NVIDIA Technical Blog
…NVIDIA RTX GPU with 16 GB or more of VRAM, and works on both Windows and Linux. Check out the latest sessions in RTX neural rendering and AI At the GDC Festival…
NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes | NVIDIA Technical Blog
…The Linux kernel has all the bookkeeping necessary to be able to serialize this state. We use an open-source tool, CRIU (Checkpoint/Restore in Userspace) to walk the Linux kernel’s…
NVIDIA Omniverse ライブラリを活用した、フィジカル AI 機能の既存アプリへの統合
…key first export NVIDIA_API_KEY=your_api_key_here # Linux/macOS # or set NVIDIA_API_KEY=your_api_key_here # Windows # Build wheels and start all MCP servers cd source/mcp…
CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features | NVIDIA Technical Blog
…and MCDM) with TCC and Linux native to ensure WDDM/MCDM would become a suitable and future proof driver model for all our GPUs on Windows. CUDA_DISABLE_PERF_BOOST CUDA Toolkit…
Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops | NVIDIA Technical Blog
…Linux (primary), Windows (WSL2), macOS NVIDIA GPU (A100 or newer recommended), CUDA compute capability ≥ 8.0 CUDA Toolkit 12+, NVIDIA driver 570.xx.xx+ Installation To install ALCHEMI Toolkit-Ops, use the…
How to Eliminate Pipeline Friction in AI Model Serving | NVIDIA Technical Blog
…Both are supported on Linux (Ubuntu, RHEL), with Windows support for TensorRT. The fastest path to a reproducible environment is pulling a prebuilt container from the NGC catalog . To get started, explore…
NVIDIA Technical Blog
…14 MIN READ Apr 08, 2026 Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries Physical AI—AI systems that perceive, reason, and act in physically grounded simulated environments—is…