In recent times, "lobster"OpenClawAmidst its rapid rise in popularity, the battleground for generative AI is quickly shifting from "dialogue" to "execution." And according to...NewsIt is noted that NVIDIA is expected to launch an open-source AI agent platform called "NemoClaw" at GTC 2026 in San Jose, California.
When AI gains the power to take over computers and command tools, the resulting risks of data security breaches deter businesses. NVIDIA's move to directly address this issue not only breaks down the limitations of underlying hardware but also attempts to formally introduce this "digital employee" frenzy into the commercial market through enterprise-level security protection.
Breaking Hardware Ties: NVIDIA's "NemoClaw" Targets Enterprise Pain Points
According to sources, NVIDIA is actively promoting its new "NemoClaw" platform to enterprise software giants such as Salesforce, Cisco, Google, Adobe, and CrowdStrike.
The platform's biggest highlight is its "hardware decoupling." Even if an enterprise doesn't use NVIDIA's proprietary AI chips at the underlying level, it can seamlessly integrate with the NemoClaw platform (which is expected to integrate GPU virtualization applications) and distribute AI agents to internal employees to automate work tasks. Because it adopts an open-source model, partners can obtain early access for free by contributing code.
NVIDIA's primary motivation for launching NemoClaw at this time is undoubtedly to address the "trust crisis" currently facing open-source AI agents in the enterprise market. Because the behavior of such highly autonomous AI agents is extremely difficult to predict, tech companies like Meta have explicitly banned employees from using the recently popular OpenClaw on their work computers. Last month, a security director at Meta AI Labs even revealed that the AI agent on her device completely went out of control, maliciously deleting a large number of work emails. NemoClaw's mission is precisely to provide these powerful automation tools with "enterprise-grade security rails."
GitHub Domination Myth: OpenClaw Redefines "App"
To understand NVIDIA's strategy, one must first understand the "OpenClaw" phenomenon that has recently generated tremendous attention in the developer community.
This open-source project, created in his spare time last November by Austrian developer Peter Steinberger, garnered over 250,000 stars on GitHub in just four months, surpassing React, which has dominated the front-end world for 13 years, and the Linux kernel, which has been around for decades.
OpenClaw proves one thing: AI can not only understand information, but also truly participate in work. Through its unique layered architecture (message layer → gateway layer → agent layer → skill layer), OpenClaw can connect large language models such as Claude, GPT-4, and Kimi, and give them the "hands and feet" to control browsers, file systems, and APIs. This means that in the future, users will no longer need to open various apps and perform operations such as clicking buttons; they only need to "express their intentions," and AI will automatically call upon the underlying software capabilities to complete the task.
Making money first by "selling fish tanks and feed": Token consumption sees an exponential surge.
This nationwide frenzy of raising "lobsters" has also made the infrastructure suppliers behind it extremely wealthy.
OpenClaw is essentially a super "token consumer." To complete a complex automation task, it needs to make intensive and continuous calls to a large language model API. Industry experts describe the current situation as follows: "Regardless of whether the shrimp farmers (users) ultimately make money, those selling fish tanks (cloud servers) and those selling feed (large language model APIs) have already made money."
• Major cloud computing companies are vying for market share.Companies including Alibaba Cloud, Tencent Cloud, and ByteDance's Volcano Engine have launched cloud hosting and image services that allow one-click deployment of OpenClaw in order to seize the computing resource rental market. Even Xiaomi is preparing to seize this market opportunity with a tool called MiClaw, and Tencent has also taken related actions.
• Computing power and model factories benefit:The surge in token consumption has driven up the stock prices of many computing power rental companies, while large language modeling companies providing underlying API calls have also experienced a massive increase in usage. However, many government agencies and companies have warned that OpenClaw-driven applications may have serious identity verification vulnerabilities, making them more susceptible to privacy breaches and cyberattacks.
Analysis of viewpoints
The emergence of the "Lobster" phenomenon officially heralds the transition of AI development from the "Copilot" (assisted driving) era to the "Agent" (fully automated agent) era.
For the past two decades, we've been accustomed to the software usage logic of "open the app → click to operate." However, in the world of agents, the user interface of software is about to disappear, degenerating into low-level APIs called by AI. Nevertheless, as the tragedy of the Meta manager's emails being deleted shows, allowing a "black box" lacking common sense to have the highest system privileges is a cybersecurity disaster for any enterprise.
This is precisely the idea behind NVIDIA's upcoming "NemoClaw". While the entire open-source community is frantically stacking AI's "action capabilities", NVIDIA has identified the "governance and security" intermediary layer that the enterprise market lacks most, and deliberately breaks down hardware ties. This not only greatly simplifies the barriers to entry for use, but also aims to expand the application ecosystem and become the essential operating system for all AI agents in the future "intent-driven" software architecture.
