…Top agentic apps are looking to leverage MXC and OpenShell to strengthen their security in Windows, including the popular open source agents OpenClaw and Hermes Agent . How does NVIDIA RTX Spark power…
…Say you want to build a real-time application using an open-source model like YOLOv26. To plug any model into DeepStream, you need to know three things: Input tensor — shape and…
…By providing GPU-accelerated versions of trusted, open-source tools, Parabricks reduces analysis to minutes from hours—enabling researchers to uncover biological insights and clinicians to make decisions faster. The NVIDIA RTX…
…These libraries plug into existing Omniverse components for scene description ( OpenUSD ), simulation‑ready assets ( SimReady ), and application development ( Omniverse Kit Framework ). Library availability and path to production Currently, ovrtx , ovphysx , and ovstorage…
…He builds production-grade systems for medical imaging and brings physical AI to healthcare—spanning GPU-accelerated pipelines, simulation, and cloud-edge deployment. He is also a core developer in open-source…
…With this open source approach, developers can customize the model on-premises, ensuring peak performance without compromising privacy and security. Model weights Full parameter checkpoints for Nemotron 3 Nano Omni are available…
…of today’s best open source models, including Kimi K2 and GLM-5 . This post explains how NVIDIA provides comprehensive support for Muon and other cutting-edge emerging optimizers and the technologies…
…Rather than handing an agent an open-ended research problem, Auto-FL begins with a fair, comparable benchmark: a bounded FL simulation with a fixed training budget and consistent scoring. From that…
…Mixed precision training with FP8 (MXFP8) NVFP4 precision training using NVIDIA NeMo Megatron Bridge , an open source library that is part of NVIDIA NeMo framework We present practical, large-scale results showing…
…Advanced, self-evolving agents like OpenClaw use prompts that get updated by the agent itself as it revises memory and instructions over time, resulting in a self-customizing agent. How it works…