Jakarta, INTI - Nvidia is developing an AI agent platform for enterprises built on OpenClaw, an open-source framework that has gained popularity for enabling companies to build and run agentic AI locally on their own devices.
In an official statement, Nvidia said that NemoClaw ensures strong privacy and security controls, allowing organizations to create autonomous AI agents that can evolve independently. In simple terms, OpenClaw acts as a personal AI operating system designed to address previous security risks, according to CEO Jensen Huang. “This is the moment the industry has been waiting for, the beginning of a new software renaissance,” he said.
“For CEOs, the question is: what is your OpenClaw strategy? We need one. We all had a Linux strategy. We all needed HTTP and HTML strategies that powered the internet. We all needed a Kubernetes strategy that enabled the mobile cloud. Every company in the world today needs an OpenClaw strategy, a strategy built around agent systems,” Huang added.
“OpenClaw brings AI closer to people and helps create a world where everyone has their own agent,” said Peter Steinberger. “Together with NVIDIA and the broader ecosystem, we are building the ‘claws’ and ‘guardrails’ that allow anyone to create powerful and secure AI assistants.”
Vera CPU Powers the Next Era of Agentic AI
In parallel, Nvidia has officially introduced the Vera CPU, the world’s first processor specifically designed for the era of agentic AI. The company claims Vera delivers twice the efficiency and is 50% faster than traditional rack-scale CPUs. Production is currently underway, with availability expected through partners in the second half of the year.
The Vera CPU builds on the success of Nvidia’s previous Grace architecture, which enabled industries to develop AI factories and scale AI agents more effectively. Vera is engineered with industry-leading single-thread performance and per-core bandwidth, offering higher throughput, responsiveness, and efficiency for large-scale AI workloads such as coding assistants, as well as enterprise and consumer AI agents.
The platform has already seen broad adoption through collaborations with major players including Alibaba, CoreWeave, Meta Platforms Inc., and Oracle Cloud Infrastructure, along with global system manufacturers such as Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro. This positions Vera as a new CPU standard for critical AI workloads across developers, startups, public-private institutions, and enterprises.
“Vera represents a turning point for AI. Intelligence is becoming agentic, capable of reasoning and taking action. The systems that support this shift must scale accordingly,” Huang said.
A single Vera rack integrates 256 liquid-cooled CPUs, capable of sustaining more than 22,500 concurrent CPU threads, each running independently at full performance. The system is built on Nvidia’s modular MGX reference architecture, supported by over 80 ecosystem partners worldwide.
Nvidia has also introduced a new reference design using Vera as the host CPU for the Nvidia HG Rubin NVL8 system, coordinating data movement and system control for GPU-accelerated workloads. Vera-based systems are available in both dual-socket and single-socket server configurations, optimized for workloads such as reinforcement learning, agentic inference, data processing, orchestration, storage management, cloud applications, and high-performance computing.
Conclusion
Nvidia’s introduction of NemoClaw and the Vera CPU marks a significant step toward accelerating the adoption of agentic AI. By combining open-source innovation with purpose-built hardware, the company is building an ecosystem where autonomous AI agents can operate securely, efficiently, and at scale. As enterprises continue to integrate AI into their operations, Nvidia is positioning itself at the forefront of this shift, enabling the next generation of intelligent and scalable digital infrastructure.
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