NVIDIA Nemotron

Evidence (14)

• 7The New Stack·8/4/2026framework_update
  Nvidia's NOOA aims to make agents a single Python class

  Nvidia introduced NOOA (Object-Oriented Agents), a framework that represents an AI agent as one Python class, with methods as capabilities, fields as state, and docstrings as prompts. The approach is intended to reduce fragmentation in agent development and make agents easier to inspect, test, and trace, though experts note it may also introduce new challenges in distinguishing deterministic code from runtime model behavior and in observability at scale.

• 7NVIDIA GenAI·7/24/2026research
  NVIDIA and KAIST Launch Joint AI Research Lab in Seoul

  At the AI Summit in San Francisco, NVIDIA and KAIST announced a joint AI research lab at KAIST’s Kim Jaechul Graduate School of AI in Seoul. The lab will focus on agentic AI and combine NVIDIA’s full-stack AI stack, Nemotron open models, and partner cloud computing with KAIST’s research expertise.

• 8NVIDIA GenAI·7/21/2026product_launch
  Wistron Opens Texas Plant to Build NVIDIA AI Systems

  Wistron opened its first U.S. manufacturing facility in Fort Worth to produce NVIDIA AI systems, including the GB300 Grace Blackwell Ultra Superchip and the forthcoming Vera Rubin Superchip. The plant was designed with NVIDIA’s digital twin and simulation stack and is scaling toward tens of thousands of boards per month, with plans to add more jobs and expand output.

• 5NVIDIA GenAI·7/14/2026model_release
  NVIDIA says open Nemotron models help enterprises build customizable AI

  NVIDIA’s Nemotron Labs blog argues that open models can give enterprises and governments more control, trust, and customization than closed models. It cites examples of companies fine-tuning Nemotron for clinical conversations, enterprise search, computer-use tasks, legal workflows, and local-language AI.

• 6Hugging Face Blog·7/8/2026open_source
  NVIDIA Unveils Open Data for AI Agents

  NVIDIA published a blog post explaining why agentic AI depends on open and synthetic data, and why model weights alone are not enough for reproducible agent behavior. The company also introduced the Nemotron Post-Training v3 Prompt Atlas, an interactive visualization for exploring its post-training prompt data.

• 7The New Stack·7/6/2026framework_update
  Karp and Mensch warn enterprises about AI vendor lock-in

  Palantir CEO Alex Karp and Mistral CEO Arthur Mensch both argued that enterprises risk becoming locked into closed AI providers as they connect proprietary data and workflows to hosted models. Their remarks highlighted a growing push for open-weight models, stronger data control, and in-house training systems to reduce dependency on model vendors.

• 8NVIDIA GenAI·7/6/2026research
  Open Models Shape ICML AI Research

  ICML 2026 papers show open frontier models and open AI infrastructure becoming central to modern AI research, with NVIDIA GPUs and Nemotron cited widely across accepted work. The research spans robot world models, life sciences, synthetic data generation, and autonomous systems, highlighting growing use of open datasets, open weights, and reproducible training stacks.

• 7NVIDIA GenAI·6/29/2026product_launch
  Palantir Launches Secure AI Engine Using NVIDIA Nemotron

  Palantir introduced a new intelligent engine for U.S. government use that is built on NVIDIA Nemotron open models. The announcement highlights open-source models being deployed in secure, closed environments for public-sector AI workloads.

• 7NVIDIA GenAI·6/23/2026product_launch
  NVIDIA Unveils Agent Toolkit for Specialized Enterprise AI

  NVIDIA says businesses are moving from general AI pilots to specialized agents that can reason, use tools, and act within real workflows. The company is packaging models, blueprints, and a secure runtime into NVIDIA Agent Toolkit to help enterprises build AI coworkers they can customize, control, and trust across industries such as life sciences, healthcare, cybersecurity, and software design.

• 7NVIDIA GenAI·6/23/2026product_launch
  NVIDIA Showcases Autonomous AI Agents for Telecom Operations

  NVIDIA is presenting a telecom autonomy stack at TM Forum DTW Ignite 2026 that combines synthetic data, telecom-domain models, secure runtimes and simulations for more autonomous network and business operations. Partners including SoftBank Corp., AdaptKey, Amdocs and NTT DATA are using NVIDIA tools to build privacy-preserving datasets and long-running agents for tasks such as self-healing, customer care and network degradation detection.

• 8NVIDIA GenAI·5/21/2026model_release
  NVIDIA Debuts Nemotron 3 Ultra for Long-Running AI Agents

  At NVIDIA GTC Taipei at COMPUTEX, NVIDIA announced Nemotron 3 Ultra, an open 550-billion-parameter mixture-of-experts model designed for long-running AI agents. The company says it delivers up to 5x faster inference and can reduce the cost of complex agentic tasks by up to 30%, with early adopters including Perplexity, Palantir and ServiceNow.

• 8NVIDIA GenAI·5/5/2026product_launch
  NVIDIA and ServiceNow Expand Partnership on Autonomous Enterprise AI Agents

  NVIDIA and ServiceNow announced a broader collaboration to deliver autonomous AI agents for enterprise workflows, combining NVIDIA accelerated computing and open models with ServiceNow’s workflow context and governance tools. ServiceNow also introduced Project Arc, a desktop autonomous agent that uses NVIDIA OpenShell for secure execution and connects to ServiceNow AI Platform, Action Fabric, and AI Control Tower.

• 7Hugging Face Blog·3/17/2026model_release
  Holotron-12B: High-Throughput Computer Use Agent

  H Company released Holotron-12B, a multimodal computer-use model built for agentic workflows that must perceive, decide, and act in interactive environments. The model is based on NVIDIA Nemotron-Nano-2 VL and emphasizes high-throughput inference, long-context handling, and efficient VRAM use for production workloads.

• 7Hugging Face Blog·1/5/2026product_launch
  NVIDIA shows DGX Spark and Reachy Mini AI agent demo

  NVIDIA used CES 2026 to showcase a demo that runs an agent locally on DGX Spark and interacts through the Reachy Mini robot. The Hugging Face blog post explains how to reproduce the setup with open NVIDIA models, an agent toolkit, and optional local, cloud, or serverless deployment paths.