Modeldex
  • Models
  • Providers
  • Benchmarks
  • MCP
  • Compare
  • Guides

Product

  • Models
  • Providers
  • Benchmarks
  • Compare
  • Prompts
  • Find a model
  • Trending
  • Collections
  • News
  • Changelog

Learn

  • New to AI?
  • Best AI by use case
  • Blog
  • Trust & data sources
  • Pricing
  • About
  • Support

Legal

  • Privacy
  • Terms
  • Cookies

Connect

  • GitHub
  • X / Twitter
  • Contact

© 2026 Modeldex — the AI model registry.

Press ? for keyboard shortcuts.

Home/News

News & Analysis

Editorial coverage, in-depth analysis, and developer guides — 6 articles.

Provider lens:nvidiaJSON export →Atom feed →
AllAnalysisGuideNewsResearch
Filtered by tag:#Agentic AIClear
  • NewsNewsNVIDIA

    OpenAI’s New GPT-5.5 Powers Codex on NVIDIA Infrastructure — and NVIDIA Is Already Putting It to Work

    AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation. Codex, OpenAI’s agentic coding application, is enabling this new frontier. It’s now powered by GPT-5.5, OpenAI’s latest frontier model, which runs on NVIDIA GB200 NVL72 rack-scale systems. Over 10,000 […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 23, 2026Justin Boitano
    More NVIDIA coverage →
  • NewsNewsNVIDIA

    NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI

    NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services. This foundation enables developers, startups and enterprises to push agentic and physical AI out of the lab and into production — from agents that […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 22, 2026Ian Buck
    More NVIDIA coverage →
  • NewsNewsNVIDIA

    Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP

    AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making. NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across creative production and customer experience orchestration. As demand for personalized customer experiences surges, brands require intelligent systems […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 20, 2026Richard Kerris
    More NVIDIA coverage →
  • NewsNewsNVIDIA

    From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI

    Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action. Designed for this shift, Google’s latest additions to the Gemma 4 family introduce a class of small, fast and omni-capable models built for efficient local execution across a wide range […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 2, 2026Michael Fukuyama
    More NVIDIA coverage →
  • NewsNewsNVIDIA

    The Future of AI Is Open and Proprietary

    AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist. This variety is essential for a future where every application will be powered by AI, every country will build it and every company will use […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Mar 25, 2026Kari Briski
    More NVIDIA coverage →
  • NewsNewsNVIDIA

    How Autonomous AI Agents Become Secure by Design With NVIDIA OpenShell

    Autonomous agents mark a new inflection point in AI. Systems are no longer limited to generating responses or reasoning through tasks. They can take action: Agents can read files, use tools, write and run code, and execute workflows across enterprise systems, all while expanding their own capabilities. Application-layer risk grows exponentially when agents continuously improve […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Mar 23, 2026Ali Golshan
    More NVIDIA coverage →

Tags

#AI#AI Infrastructure#Agentic AI#Artificial Intelligence#Cloud#Cloud Services#Conversational AI#Cybersecurity#GTC 2026#GeForce#Media and Entertainment#NVIDIA Blackwell
#Nemotron
#Open Source
#Pro Graphics
#Software