Nvidia shares moved higher as the company prepares to host its biggest event of the year. NVDA stock rises to $184.67 (+0.82%) as the artificial intelligence chip giant gears up for GTC 2026, its annual developer conference where CEO Jensen Huang is expected to unveil new technologies, products, and long-term AI roadmaps.
The event begins Monday in San Jose, California, with Huang scheduled to deliver the opening keynote at the SAP Center. Nvidia’s GTC conferences have become some of the most closely watched events in the technology industry, often setting the tone for the company’s strategy across AI chips, software platforms, robotics, and next-generation computing.
This year’s conference comes at a time when Nvidia is expanding far beyond its traditional GPU business and deeper into software platforms, AI inference chips, and even new types of processors.
Jensen Huang keynote expected to reveal Nvidia’s next AI roadmap
The keynote presentation is scheduled for 1 p.m. ET and will bring together developers, analysts, and members of the press to hear Nvidia’s plans for the year ahead.
Huang’s presentations are known for unveiling a wide range of product updates, new chips, and software initiatives. Given Nvidia’s rapid expansion in artificial intelligence infrastructure, expectations for this year’s keynote are particularly high.
Over the past several months Nvidia has been actively forming partnerships and acquiring new technologies, suggesting that the company may use GTC 2026 to show how those technologies fit into its broader AI ecosystem.
The announcements are also important for investors. Nvidia has become one of the most valuable companies in the semiconductor sector as demand for AI computing infrastructure has surged globally.
AI inference chips and Groq partnership could take center stage
One of the most intriguing developments surrounding Nvidia over the past year has been its agreement with AI chip startup Groq. In December, Nvidia signed a nonexclusive deal to use Groq’s inference technology, signaling the company’s growing focus on the next phase of AI computing.
As part of the arrangement, Nvidia hired several key Groq executives, including founder Jonathan Ross and president Sunny Madra, along with other leadership from the company.
Groq designs processors known as language processing units (LPUs). These chips are optimized specifically for AI inference workloads, meaning they focus on running AI models efficiently rather than training them.
The company claims its processors can run large language models up to 10 times more efficiently than traditional GPUs in some cases.
The broader AI industry is currently shifting from the initial phase of training models toward running those models in real-world applications. This transition has made inference hardware increasingly important.
Nvidia has repeatedly emphasized the efficiency of its GPUs for inference tasks, but integrating Groq’s technology or unveiling a dedicated inference processor could help strengthen Nvidia’s position against specialized chip competitors.
More details about Nvidia’s AI hardware ecosystem can be found on the company’s official site at Nvidia.
Nvidia could introduce its long-rumored laptop CPU
Another possible highlight from the event could be Nvidia’s entry into the laptop processor market.
Industry reports suggest the company is preparing two Arm-based chips for Windows laptops, reportedly named N1 and N1X. These processors would run on Arm architecture, similar to the chips developed by Qualcomm, but would likely be designed with gaming performance in mind.
Nvidia’s GPUs are already widely used in gaming PCs, making the move into CPUs a logical expansion of the company’s consumer hardware strategy.
Nvidia is not entirely new to processor development. Its chips currently power Nintendo’s Switch gaming consoles, including the upcoming Switch 2. The company has also produced processors for other computing devices in the past.
However, even if Nvidia launches laptop CPUs, the revenue impact would likely be smaller compared to the company’s booming data center business.
In 2025, Nvidia generated roughly $22.5 billion in gaming revenue, while its data center segment produced about $193.5 billion, highlighting how central AI infrastructure has become to Nvidia’s business.
Updates expected on Nvidia’s future AI platforms
Beyond new chips, Huang is also expected to provide updates on Nvidia’s longer-term AI computing platforms.
This could include new details about the company’s Vera Rubin AI platform, which is expected to power future generations of large-scale AI systems.
Huang may also discuss Vera Ultra, an even more powerful computing platform scheduled for the second half of 2027.
Looking even further ahead, Nvidia has already teased its Feynman GPU architecture, expected around 2028. Roadmap announcements like these are particularly important for hyperscale cloud companies and enterprise customers who plan infrastructure investments years in advance.
Nvidia could push further into AI software platforms
While Nvidia’s hardware often dominates headlines, the company has increasingly emphasized its software capabilities.
Reports suggest Nvidia could introduce a new AI agent platform called NemoClaw. The system would allow companies to deploy AI agents across their internal systems, helping automate tasks and workflows.
AI agents have become one of the most discussed trends in the technology industry as businesses explore ways to build more autonomous software systems powered by large language models.
Nvidia already develops a wide range of open-source AI models and development frameworks. These tools support applications ranging from robotics simulation and physics modeling to self-driving vehicle technologies.
Robotics and physical AI may also be major themes
Another area Nvidia is likely to highlight at GTC is robotics and what Huang calls physical AI.
Unlike generative AI systems that operate entirely in software, physical AI involves machines that interact with the real world. This includes robots, industrial automation systems, and advanced simulation environments.
Huang has repeatedly said that robotics and physical AI could represent a multi-trillion-dollar opportunity in the coming decades.
Given Nvidia’s investments in simulation platforms and robotics frameworks, announcements in this area would further demonstrate how the company is expanding beyond GPUs and positioning itself as a broader AI platform provider.
Why investors are watching GTC closely
With Nvidia stock trading around $184.67 and rising 0.82%, the market is clearly watching the event closely.
GTC announcements have historically shaped expectations for Nvidia’s growth trajectory, especially when new AI hardware or platform technologies are introduced.
As artificial intelligence continues to transform industries ranging from cloud computing to robotics, Nvidia’s strategy revealed during GTC 2026 could help determine how the company maintains its leadership position in the rapidly evolving AI economy.
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