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Partner POV | Keeping AI Agents on Task: Check Point Advances AI Agent Safety with NVIDIA OpenShell Reference Architecture
Check Point explains how AI agents can go wrong without an attacker and how its approach, built with NVIDIA OpenShell and NVIDIA Sentry on BlueField-4, checks each proposed action against the agent's task. Instead of a simple allow or block, it can steer an agent back on track or contain it when the risk is serious, with infrastructure protections enforcing outside the host.
Partner POV | Into the Omniverse: How Open World Models Push the Frontier of Physical AI
Physical AI must predict consequences, not just recognize patterns—and that demands open world models. NVIDIA's tools let developers specialize general models into robots, vehicles and vision systems, proving that AI leadership means building an ecosystem everyone can adapt, not guarding a single frontier model.
Partner POV | NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AI
The new lightweight open model and routing library delivers greater control over AI, data and workflows across edge devices, PCs, workstations, data centers and the cloud.
Partner POV | Mastering Agentic Techniques: AI Agent Evaluation
AI model and agent evaluations differ fundamentally: models are assessed on static tasks for cognitive potential, while agents are evaluated on dynamic, end-to-end workflows. This article outlines five practical tips for agent evaluation, emphasizing task success, trajectory analysis, tool usage, reasoning quality, and transparent evaluation from inception.
WWT & NVIDIA NemoClaw Hackathon
40 engineers. 7 teams. One mission: build real, production-ready AI agents using NVIDIA NemoClaw Blueprints.
The Moment AI Becomes an Employee
By the time you come back, the work is done.
Not because someone stayed late. Not because a team worked through the night. Because software made decisions, used tools, navigated workflows, and kept working while nobody was watching.
That's the opportunity unfolding in front of every enterprise right now. It's also the reason leaders are being forced to ask a new set of questions about trust, control, accountability, and risk.
Partner POV | How Autonomous AI Agents Become Secure by Design With NVIDIA OpenShell
NVIDIA OpenShell provides tools for controlling autonomous agents in a trusted infrastructure policy layer — adding security in the environment, rather than the model or application layer.
Hands-On Lab Workshop: NVIDIA NemoClaw
Join us for a hands-on lab experience designed to help technical professionals get started with NVIDIA NemoClaw, the open-source autonomous AI agent framework. In this lab, you will explore how NemoClaw enables AI agents to take real-world actions — browsing the web, reading and writing files, and executing commands — all orchestrated through a flexible, modular skills system. OpenClaw integrates with leading large language models including Claude, GPT, and DeepSeek, and can be deployed locally or in the cloud for 24/7 operation. By the end of this session, you will understand how to configure, extend, and safely deploy OpenClaw agents to automate workflows and drive productivity across your organization.
Partner POV | Red Hat and NVIDIA Collaborate for a More Secure Foundation for the Agent-Ready Workforce
AI agents have evolved from simple chatbots to autonomous entities, posing challenges for IT teams in balancing innovation and security. Red Hat's collaboration with NVIDIA introduces a security-centered, agent-driven digital workforce, integrating NVIDIA OpenShell and AI-Q Blueprint to ensure safe, scalable AI deployment.
Building a Trusted Agent with NemoClaw
Deploy secure, always-on AI agents in minutes using NVIDIA NemoClaw's single-command installer. In this hands-on lab, you'll install NemoClaw, configure NVIDIA OpenShell's privacy and security guardrails, and run your first autonomous agent powered by local open models like NVIDIA Nemotron. You'll see firsthand how policy-based controls govern agent behavior and keep sensitive data secure.
NVIDIA Just Gave AI Agents Two Things They've Always Needed
NVIDIA GTC 2026 in San Jose was, to say the least, a whirlwind. If last year's conference was about the economics of tokens, this year's was about something bigger: the moment AI agents stop being a promise and start being infrastructure.
Two announcements made that clear. Most people in the room were focused on the hardware specs. But the real story is what these two releases mean together, and why the window to get ahead is narrowing fast.
Partner POV | Run Autonomous, Self-Evolving Agents More Safely with NVIDIA OpenShell
The new open source runtime lets developers benefit from claws' productivity while maintaining enterprise privacy and security.
ATC+
Intelligent Resource Optimizer
In this lab, customers will deploy the Intelligent Resource Optimizer on the HPE Private Cloud AI instance in the ATC. Built using the NVIDIA NeMo Agent Toolkit and powered by Open AI OSS NIMs, this solution moves beyond static analysis to proactive infrastructure management. By integrating a specialized Time Series model, the Intelligent Resource Optimizer analyzes historical system utilization to accurately forecast future resource demands. This allows IT Operations teams to receive data-driven recommendations for scaling and optimization, ensuring peak performance and cost-efficiency across the environment.