Tech big Nvidia, the world’s most valuable company and the poster little one of the AI growth, is banking its future on the rise of AI agents.
The company on Monday introduced a slew of software program and {hardware} updates to encourage the event of AI agents, or AI assistants that can carry out duties for customers. Among the most important bulletins is a set of instruments for AI helpers primarily based on OpenClaw, the buzzy agent platform that’s been the speak of Silicon Valley in latest weeks. Nvidia additionally introduced new computing racks designed to energy agents, shifting its technique’s main focus from graphics processing items.
Clad in his signature black leather-based jacket, Nvidia CEO Jensen Huang made the flurry of bulletins in San Jose on the chipmaker’s annual GTC convention, which attracts tens of 1000’s of attendees and has been dubbed the “super bowl” of AI.
Nvidia’s bulletins are essential as a result of so many main corporations depend on its programs to practice and energy their AI companies. This means the chip big’s new merchandise usually replicate the applied sciences for corporations throughout the AI business.
Nvidia introduced software program instruments to assist corporations make AI agents, together with fashions and a blueprint for creating customized specialised assistants. It’s additionally launching a set of assets for creating agents on OpenClaw that provides privateness and safety controls, which is essential contemplating the favored agent has raised issues amongst cybersecurity specialists.
Nvidia stated its assets assist OpenClaw agents entry the programs and recordsdata with out compromising safety or privateness. Huang stated they’ve labored immediately with OpenClaw creator Peter Steinberger, who was lately employed by OpenAI.
Huang stated OpenClaw is the “operating system for personal AI” and likened it to the significance of the Mac and Window working programs.
“OpenClaw is the number one. It is the most popular open-source project in the history of humanity, and it did so in just a few weeks,” Huang stated.
Nvidia additionally unveiled updates to its new computing platform, Vera Rubin, which it stated comprised seven chips that are now in full manufacturing. That features a new central computing rack made up of central processing items (CPUs) slightly than the graphics processing items (GPUs) Nvidia has been recognized for. CPUs are ultimate for operating the sorts of computing processes wanted to energy AI agents.
The company can also be integrating a non-Nvidia processor into its programs: New excessive velocity “language processing units” (LPUs) from American AI company Groq. Nvidia struck a $20 billion cope with Groq in November.
Unlike AI chatbots that reply to questions and prompts, AI agents can autonomously full duties like constructing web sites, creating advertising and marketing pitches and sending emails. AI agents are presently Nvidia’s greatest focus space, largely pushed by the recognition of OpenClaw and Anthropic’s Claude Code and Cowork agents.
“Every company in the world today needs to have an OpenClaw strategy, an agentic system strategy. This is the new computer,” Huang stated. “This is as big of a deal as HTML, as big of a deal as Linux.”
Nvidia is trying to future-proof its expertise in different methods as nicely. It’s launching an area module for Vera Rubin, aiming to deliver its newest tech to information facilities in area. It’s turn into an increasing area of interest amongst tech giants as they scramble for actual property to assemble information facilities. OpenAI CEO Sam Altman and xAI and Tesla CEO Elon Musk have each talked about utilizing area to assist energy information facilities and energy-hungry AI programs.
“Nvidia is now focused beyond just computing with a major focus on the future of networking in this new world of AI,” stated Wedbush analyst Dan Ives forward of Nvidia’s Monday convention.
In his speech on Monday, Huang tried to convey that the hype round AI and Nvidia can final, promoting a imaginative and prescient of an AI-transformed future the place demand for his or her chips grows indefinitely.
Huang stated computing demand “just keeps on going up,” including that he expects “at last” $1 trillion in Nvidia income by way of 2027.
”There’s a cause for that,” Huang stated. “This fundamental inflection — AI is able to do productive work, and therefore the inflection point of inference has arrived.”
