The AI-Q skill enables Claude Code, Codex, or other general-purpose agents to submit a research task to a running AI-Q server and receive a well-formatted, detailed report with citations. The skill includes a SKILL.md file that tells the harness how to use AI-Q, plus a helper script that manages request routing, job submission, polling, and result retrieval. A skill can mean different things in agent workflows. Agent skills guide the harness, the NVIDIA NeMo Agent Toolkit helps define reusable tool functions, and the AI-Q Agent Skill exposes the full research pipeline—including intent classifi
Add a Specialized Deep Research Skill to Agent Harnesses | NVIDIA Technical Blog…DSX リファレンス デザインのデジタル ツインを実現したものです。AI ファクトリーの施設とそのハードウェア/ソフトウェア エコシステム全体で、設計、シミュレーション、運用のために Omniverse ライブラリを活用する方法を開発者にデモンストレーションします。 これらのライブラリをまず高性能な内部スタックと産業用ブループリントでテストすることで、一般提供開始前に、エンタープライズ規模のフィジカル AI の厳しい要件を満たしていることを確認しています。 エージェント型オーケストレーション: MCP 対応ライブラリによるフィジカル AI のスケーリング シミュレーションを LLM ベースのエージェントから使用できるようにするために、Omniverse は、Model Context Protocol (MCP…
…These applications include AI assistants , customer support agents, coding co-pilots, and “deep research” assistants. Recent advances in algorithmic and model efficiency have reduced the cost of training and inference , as demonstrated…
…Train physical AI policies Rheo supports two complementary training paths: Supervised fine-tuning (SFT) of GR00T models on curated datasets Online RL post-training (proximal policy optimization via RL infrastructure, or PPO…
…Increasingly, high-fidelity simulations are also used as engines for dataset generation, producing training data for AI models that augment traditional solvers. These AI models can act as intelligent pre-conditioners, accelerate…
…Nikhil holds a bachelor’s degree in Computer Science and focuses on translating AI models into robust, enterprise-grade architectures. He has previously worked on building speech-based AI agents at NVIDIA…
…Integrating Nemotron Parse required modifying multiple components in the extraction pipeline to support the model’s input and Model serving architecture : Due to hardware requirements for GPU-accelerated inference, Nemotron Parse was…
…Painkiller also relies heavily on texture atlases, which can confuse AI models when a single texture contains multiple unrelated surfaces. Blending AI automation with hand-crafted work let us remove most of…
…Numba’s target for CUDA GPU programming by directly compiling a restricted subset of Python code into CUDA kernels and device functions following the CUDA execution model nvmath-python: Pythonic access to…
…compute scale of X-ray science, enabling the preparation of massive datasets for AI training of material characterization models. Major technical impacts include computation speedup, system scaling, and I/O throughout optimizations…
…At NVIDIA, Moein’s work spans AI workload modeling, co-leading the architecture of the NVIDIA NIXL library, and network architecture for NVQLink. View all posts by Moein Khazraee View all posts…