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The world’s most valuable company just sent another signal that AI agents are going to be everywhere
Tech giant Nvidia, the world’s most valuable company and the poster child of the AI boom, is banking its future on the rise of AI agents.
The company on Monday announced a slew of software and hardware updates to encourage the development of AI agents, or AI assistants that can perform tasks for users. Among the most significant announcements is a set of tools for AI helpers based on OpenClaw, the buzzy agent platform that’s been the talk of Silicon Valley in recent weeks. Nvidia also announced new computing racks designed to power agents, shifting its strategy’s primary focus from graphics processing units.
Nvidia Will Spend $26 Billion to Build Open-Weight AI Models, Filings Show
Nvidia will spend $26 billion over the next five years to build open source artificial intelligence models, according to a 2025 financial filing. Executives confirmed the news, which has not been previously reported, in interviews with WIRED.
The sizable investment could see Nvidia evolve from a chipmaker with an impressive software stack into a bona fide frontier lab capable of competing with OpenAI and DeepSeek. It’s a strategic move that could further entrench Nvidia’s place as the AI world’s leading chip manufacturer, since the models are tuned to the company’s hardware.
Open source models are ones where the weights or the parameters that determine a model’s behavior are released publicly—sometimes with the details of its architecture and training. This allows anyone to download and run it on their own machine or the cloud. In Nvidia’s case, the company also reveals the technical innovations involved in building and training its models, making it easier for startups and researchers to modify and build upon the company’s innovations.
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NVIDIA NemoClaw: Deploy Safer AI Agents in a Single Command
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Building blocks of AI agents designed to reason, plan, and act
Open AI models for reasoning, coding, vision, and scalable enterprise use
Software suite to build, monitor, and optimize AI agents across their lifecycle
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