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What is the AI-Q skill?
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 BlogSimplify Sparse Deep Learning with Universal Sparse Tensor in nvmath-python | NVIDIA Technical Blog
…Although powerful, AI researchers are reluctant to rewrite their model code to replace GEMM operations performed inside linear layers into the UST polymorphic operations shown above, even if this yields much better…
24/7 Simulation Loops: How Agentic AI Keeps Subsurface Engineering Moving | NVIDIA Technical Blog
…solutions architect at NVIDIA, accelerating subsurface innovation through scientific ML, agentic AI and HPC. His background spans specialized engineering and research roles at Chevron, ETH Zurich, and Los Alamos National Laboratory. He…
Ensuring Balanced GPU Allocation in Kubernetes Clusters with Time-Based Fairshare | NVIDIA Technical Blog
…Before that, he managed large-scale, multi-tenant AI Kubernetes clusters, making sure research teams get access to the resources they need, and helping researchers navigate Kubernetes for training and inference. View…
How to Accelerate Protein Structure Prediction at Proteome-Scale | NVIDIA Technical Blog
…Computational biologist scaling structure prediction pipelines AI researcher training generative protein models HPC engineer optimizing GPU workloads Bioinformatician team building structural resources You will learn how to: Design a proteome-scale complex…
NVIDIA NeMo Retriever
…AI Agent for Enterprise Research Develop AI agents that continuously process and synthesize multimodal enterprise data, reason, plan, and refine to generate comprehensive reports. Read Blueprint Model Card Read Technical Blog Try…
Build Accelerated, Differentiable Computational Physics Code for AI with NVIDIA Warp | NVIDIA Technical Blog
…Discuss (0) Discuss (0) Tags Developer Tools & Techniques | Robotics | Simulation / Modeling / Design | HPC / Scientific Computing | General | Advanced Technical | Tutorial | CAE | featured | Physics | Python | research | Warp About the Authors About Sheel Nidhan Sheel…
How to Eliminate Pipeline Friction in AI Model Serving | NVIDIA Technical Blog
…Lovina shares her insights through research papers, open source projects, and writing on AI/ML security, adversarial machine learning, agentic AI systems, MLOps, LLMOps, AI/ML applications in various industries, TensorRT, deep…
Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI | NVIDIA Technical Blog
…Accessible chemical and materials Informatics tooling and pre-trained foundation models for mapping materials representations to properties for fast screening. Simulation tools for generating synthetic datasets to train and fine-tune AI…
Pruning and Distilling LLMs Using NVIDIA TensorRT Model Optimizer | NVIDIA Technical Blog
…Before NVIDIA, he held roles developing, breaking, and fixing AI solutions in the enterprise tech sector. He also did research in medical imaging and holds a master’s degree in Computer Science…