CUDA-X
…NVIDIA PhysicsNeMo An open source Python framework for building, training, and fine-tuning AI physics models at scale. NVIDIA Earth-2 A comprehensive family of open models, libraries, and frameworks that democratize…
Search
People also ask
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 BlogPost-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer | NVIDIA Technical Blog
Agentic AI / Generative AI Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer Sep 10, 2024 By Jan Lasek , Onur Yilmaz , Chenjie Luo and Chenhan Yu Discuss (0…
Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety | NVIDIA Technical Blog
…Learn more Agentic AI is an ecosystem where specialized models work together to handle planning, reasoning, retrieval, and safety guardrailing. As these systems scale, developers need models that can understand real-world…
CUDA Tile Programming Now Available for BASIC! | NVIDIA Technical Blog
…Relish in the opportunity to port your modern AI or scientific computing code base to a historically pivotal language while retaining the ability to run on the most powerful hardware available! Just…
Using NVFP4 Low-Precision Model Training for Higher Throughput Without Losing Accuracy | NVIDIA Technical Blog
…NVIDIA NeMo Megatron Bridge provides production-ready low-precision training recipes that allow seamless switching between precision formats, supporting efficient large-scale model training with minimal code modifications. AI-generated content may…
Inside NVIDIA Groq 3 LPX: The Low-Latency Inference Accelerator for the NVIDIA Vera Rubin Platform | NVIDIA Technical Blog
…As generation speeds approach 1,000 tokens per second per user, models move beyond conversation-speed interaction toward speed of thought computing. At that rate, AI systems can reason, simulate, and respond…
Mastering Agentic Techniques: AI Agent Evaluation | NVIDIA Technical Blog
…HumanEval for coding proficiency. Ultimately, the goal of model evaluation is to answer a single question: “Is this engine powerful enough to understand my instructions and reason through facts?” AI agent evaluation…
Using Accelerated Computing to Live-Steer Scientific Experiments at Massive Research Facilities | NVIDIA Technical Blog
…These are used to train AI models for autonomous experiments and science analyses at unprecedented speed. Vera C. Rubin Observatory accelerated workflow and prompt processing The LSST traverses the sky in space…
NVIDIA Brev
…deploy AI/ML models. Easily set up a CUDA®, Python, and Jupyter lab. Access notebooks in the browser, or use the CLI to handle SSH and quickly open your code editor. More…
Automating Inference Optimizations with NVIDIA TensorRT LLM AutoDeploy | NVIDIA Technical Blog
…This avoids the need to bake inference-specific optimizations directly into model code, reducing LLM deployment time. AutoDeploy enables the shift from manually reimplementing and optimizing each model toward a compiler-driven…