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Improve AI Code Generation Using NVIDIA AgentIQ Open-Source Toolkit

An illustration for AgentIQ.With the release of NVIDIA AgentIQ—an open-source library for connecting and optimizing teams of AI agents—developers, professionals, and researchers can…An illustration for AgentIQ.

With the release of NVIDIA AgentIQ—an open-source library for connecting and optimizing teams of AI agents—developers, professionals, and researchers can create their own agentic AI applications. This tutorial shows you how to develop apps in AgentIQ through an example of AI code generation. We’ll build a test-driven coding agent using LangGraph and reasoning models to scale test-time computation.

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Build Enterprise AI Agents with Advanced Open NVIDIA Llama Nemotron Reasoning Models

Organizations are embracing AI agents to enhance productivity and streamline operations. To maximize their impact, these agents need strong reasoning abilities…

Organizations are embracing AI agents to enhance productivity and streamline operations. To maximize their impact, these agents need strong reasoning abilities to navigate complex problems, uncover hidden connections, and make logical decisions autonomously in dynamic environments. Due to their ability to tackle complex problems, reasoning models have become a key part of the agentic AI…

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Maximize AI Agent Performance with Data Flywheels Using NVIDIA NeMo Microservices

AI data flywheel diagram.As agentic AI systems evolve and become essential for optimizing business processes, it is crucial for developers to update them regularly to stay aligned with…AI data flywheel diagram.

As agentic AI systems evolve and become essential for optimizing business processes, it is crucial for developers to update them regularly to stay aligned with ever-changing business and user needs. Continuously refining these agents with AI and human feedback ensures that they remain effective and relevant. NVIDIA NeMo microservices is a fully accelerated, enterprise-grade solution designed…

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Petabyte-Scale Video Processing with NVIDIA NeMo Curator on NVIDIA DGX Cloud

NeMo Video Curator icon in a workflow diagram.With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of…NeMo Video Curator icon in a workflow diagram.

With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of video daily, while a robotics-powered manufacturing facility may produce 1 PB of data daily. To leverage this data for training and fine-tuning world foundation models (WFMs), you must first process it efficiently.

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NVIDIA NeMo Retriever Delivers Accurate Multimodal PDF Data Extraction 15x Faster

Enterprises are generating and storing more multimodal data than ever before, yet traditional retrieval systems remain largely text-focused. While they can…

Enterprises are generating and storing more multimodal data than ever before, yet traditional retrieval systems remain largely text-focused. While they can surface insights from written content, they aren’t extracting critical information embedded in tables, charts, and infographics—often the most information-dense elements of a document. Without a multimodal retrieval system…

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Using OpenUSD for Modular and Scalable Robotic Simulation and Deployment

Collage of a robot arm with OpenUSD code and schema.The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market…Collage of a robot arm with OpenUSD code and schema.

The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market for new robotic solutions, enhancing confidence in their safety capabilities, and powering of physical AI in factories and warehouses. Announced at GTC, Newton is an open-source, extensible physics engine developed by NVIDIA…

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AI Factories, Built Smarter: New Omniverse Blueprint Advances AI Factory Design and Simulation

AI is now mainstream and driving unprecedented demand for AI factories — purpose-built infrastructure dedicated to AI training and inference — and the production of intelligence. Many of these AI factories will be gigawatt-scale. Bringing up a single gigawatt AI factory is an extraordinary act of engineering and logistics — requiring tens of thousands of
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NVIDIA Dynamo Open-Source Library Accelerates and Scales AI Reasoning Models

NVIDIA Dynamo Increases Inference Performance While Lowering Costs for Scaling Test-Time Compute; Inference Optimizations on NVIDIA Blackwell Boosts Throughput by 30x on DeepSeek-R1SAN JOSE, …

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Introducing NVIDIA Dynamo, A Low-Latency Distributed Inference Framework for Scaling Reasoning AI Models

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for…

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for deploying generative AI and reasoning models in large-scale distributed environments. The framework boosts the number of requests served by up to 30x, when running the open-source DeepSeek-R1 models on NVIDIA Blackwell.

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NVIDIA Announces Spectrum-X Photonics, Co-Packaged Optics Networking Switches to Scale AI Factories to Millions of GPUs

NVIDIA today unveiled NVIDIA Spectrum-X™ and NVIDIA Quantum-X silicon photonics networking switches, which enable AI factories to connect millions of GPUs across sites while drastically reducing energy consumption and operational costs.