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Last December, a small project called OpenClaw—although it underwent three name changes—suddenly exploded in popularity around the globe. Within just a few months, it soared to the top of GitHub’s charts, surpassing the Linux system, which has been developed over more than three decades.
The nationwide enthusiasm for cultivating crayfish is also rapidly gaining momentum in China. NVIDIA CEO Jensen Huang praised the project enthusiastically, calling it an operating system tailored for individual AI applications. Huang even suggested that OpenClaw’s standing is comparable to major operating systems like macOS and Windows.
At yesterday’s GPU Technology Conference (GTC), NVIDIA announced its own crayfish-inspired AI product: NemoClaw. The early morning update indicates that it’s now live and ready for installation and deployment.
Currently, there are more than twenty or thirty such crayfish products available on the market. So, what sets NemoClaw apart? According to official statements, it is designed primarily for enterprise users, emphasizing privacy and security management. Additionally, it aims to improve overall trustworthiness, scalability, and user-friendliness for a global audience.
NemoClaw features an open model alongside a sandbox environment through OpenShell, boosting data privacy and security for autonomous intelligent agents. This infrastructure layer grants necessary access permissions for smooth operation, while also enabling policy-based controls over security, networking, and privacy measures.
The product remains open and compatible with any intelligent agent programming framework. Users can invoke open large models, install it locally, or deploy it on cloud platforms. Compatible hardware includes personal computers, laptops, workstations, and even NVIDIA’s DGX systems like Spark.
Installation is straightforward. Simply run the command:
bash
$ curl -fsSL https://nvidia.com/nemoclaw.sh | bash
For an even easier experience, users can ask their AI assistant to help install by entering:
“Help me install nvidia.com/nemoclaw”
More detailed installation guidance is available on NVIDIA’s official website and GitHub repositories for those interested.
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