Cover Image for WEBINAR: NemoClaw and the NVIDIA Agent Stack
Cover Image for WEBINAR: NemoClaw and the NVIDIA Agent Stack
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WEBINAR: NemoClaw and the NVIDIA Agent Stack

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About Event

NVIDIA dropped NemoClaw in early preview. It's a security and privacy layer wrapping OpenClaw, bundled with their Agent Toolkit, OpenShell runtime, and Nemotron models running locally.

The persistent agent space got crowded fast. OpenClaw is the most-starred open-source agent framework on GitHub. Hermes Agent from Nous Research is growing quickly on the back of a self-learning loop OpenClaw doesn't have.

Now NVIDIA is positioning the enterprise-grade wrapper on top of the category.

If you're deciding what your team actually runs in production this year, this session is a direct breakdown of what each option does, where NVIDIA fits, and what the move tells you about where enterprise AI is heading.

Join Shann Holmberg (Co-founder and Managing Partner, Lunar Strategy/ Head of Product, Espressio) for a live breakdown of the stack, the competition, and the decision framework.

About Your Speaker

Shann Holmberg is Co-founder and Managing Partner at Lunar Strategy, working with 250+ crypto projects since 2019. He's been building and deploying AI-powered systems across growth, content, and operations, and tracks the enterprise AI infrastructure space closely.

Session Overview:

* Breakdown: NemoClaw and the NVIDIA Agent Stack — Shann Holmberg (45 min)

Shann will cover:

➤ What NVIDIA actually shipped with NemoClaw, and the problem it solves

➤ OpenClaw vs Hermes: gateway architecture vs learning-loop architecture

➤ Where the full NVIDIA agent stack fits: Nemotron, NeMo, NIM, Agent Toolkit

➤ The decision framework for choosing between open-source, managed, or enterprise agent platforms

➤ Why security, privacy, and local compute are becoming board-level questions

* Live Q&A (15 min)

Bring your questions. Open floor with Shann.

Who this is for: Founders, CTOs, and product leads picking agent infrastructure this year. Useful if you're weighing open-source frameworks against enterprise stacks, or deciding whether to run agents locally or in the cloud.

Spots are limited.

Avatar for Espressio
Presented by
Espressio
79 Went