Jensen Huang thinks every CEO needs a plan for AI agents. On Monday at the GTC keynote, he showed off Nvidia’s new tool called NemoClaw. It is an enterprise version of the popular open source framework OpenClaw. While people already love OpenClaw for running AI agents on their own hardware, it has often lacked the heavy duty security and privacy controls that big businesses need to operate safely.
Nvidia wants to fix that by baking privacy and strict control right into the platform. Huang compares this moment to the early days of the internet or the rise of Linux. He says that just as every company once needed a specific strategy for the web, they now need a strategy for agentic systems. These are systems where AI doesn’t just talk to you but actually goes out and performs tasks. To do that safely, you need a solid foundation that keeps your data private.
Nvidia worked directly with OpenClaw creator Peter Berger to build this. Once it fully rolls out, you can use it to run almost any AI model or coding agent you prefer. The best part is that it is hardware agnostic. You do not even need Nvidia GPUs to use it, which is a big deal for companies that have already invested in other hardware. It is still in the early alpha stage, so the company warns there might be some bugs as they polish it for professional use.
Nvidia is joining a crowded and fast moving race. OpenAI launched its own enterprise platform called Frontier just last month. Global research firms like Gartner are already saying that these governance platforms are the most important piece of tech for companies trying to adopt AI. They argue that without a way to manage how these agents behave, companies will be too afraid of the risks to actually use them.
By making OpenClaw secure and easy to deploy with a single command, Nvidia is betting they can become the go-to choice for the corporate world. They want to turn a DIY tool into something a bank or a hospital can trust. This move shows that the battle for AI isn’t just about who has the smartest model, but who can make that model safe enough for a CEO to sign off on.
The platform also integrates with NeMo, which is Nvidia’s existing suite of AI software. This means developers can jump from building a model to deploying an agent without switching tools. Even though it is early days, the message from the GTC stage was clear: if you don’t have an agent strategy yet, you are already behind. Nvidia is giving you the keys to build one without giving up control of your data.