OpenUSD for Developers
…robotics and physical 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…
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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
…menus and windowing, and want a standard app framework that wires together many extensions and libraries for you so you can focus on domain logic instead of low‑level integration. Getting Started…
Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20 | NVIDIA Technical Blog
…Learn more AI integration is redefining mainstream enterprise applications, from productivity software like Microsoft Office to more complex design and engineering tools. This shift requires the modern data center to move beyond…
Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5 | NVIDIA Technical Blog
…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 of Gaming and GTC 2026, we hosted…
NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes | NVIDIA Technical Blog
…Key optimizations include KV cache unmap to drastically reduce checkpoint size, parallel memfd restore and Linux native asynchronous I/O (AIO) to accelerate CRIU memory restoration, and a GPU Memory Service (GMS…
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
…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 ./build-wheels…
CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features | NVIDIA Technical Blog
…both on WDDM 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…
Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops | NVIDIA Technical Blog
…System and package requirements Python 3.11+ Operating System: Linux (primary), Windows (WSL2), macOS NVIDIA GPU (A100 or newer recommended), CUDA compute capability ≥ 8.0 CUDA Toolkit 12+, NVIDIA driver 570.xx…
How to Eliminate Pipeline Friction in AI Model Serving | NVIDIA Technical Blog
…TensorRT is written in C++ with APIs in C++ and Python; Dynamo-Triton provides client libraries in C++, Python, and Java. Both are supported on Linux (Ubuntu, RHEL), with Windows support for…
NVIDIA Technical Blog
…10 MIN READ Mar 16, 2026 Design, Simulate, and Scale AI Factory Infrastructure with NVIDIA DSX Air Building AI factories is complex and requires efficient integration across compute, networking, security, and storage…