Nvidia CEO Jensen Huang is set to detail the company’s ‌hardware and software plans to a large crowd in San Jose, California, at its annual developer conference on Monday.

Shares of the company were up more than 2% in morning trading.

During a keynote address at a hockey arena with a capacity of more than ​18,000, Huang is expected to lay out how the top AI chipmaker plans to adapt to a rapidly ​changing AI landscape.

Nvidia, the world’s most valuable listed company, with a market capitalization of ⁠more than $4.3 trillion, is likely to detail a next-generation AI chip called Feynman, named after American physicist Richard Feynman, at ​the four-day conference.

Huang is also likely to talk about data centers, Nvidia’s chip programming software CUDA, digital assistants known ​as AI agents and physical AI such as robots.

This year’s event is even more crucial as investors will seek assurance that Nvidia’s strategy of plowing back its profits into the AI ecosystem is paying off.

Another focus is likely to be Groq, a chip startup ​from which Nvidia licensed technology for $17 billion in December. Groq specializes in fast and cheap “inference” computing work, in which ​an AI model takes what it has already learned and uses it to answer a question or make a prediction in ‌real ⁠time.

After spending hundreds of billions of dollars in recent years on chips for training their AI models, companies such as OpenAI, Anthropic and Facebook owner Meta Platforms are shifting toward serving hundreds of millions of users who are tapping those AI systems.

Nvidia faces greater competition in the market for chips for inference-computing work than it does for ​AI-training chips, and analysts expect ​the company to shore ⁠up its defenses against rivals looking to regain market share they lost to Nvidia in recent years.

Analysts also expect Nvidia to elaborate on why it invested $2 billion each in ​Lumentum and Coherent, both of which make lasers for sending information between chips in ​the form ⁠of beams of light.

Despite that increased competition, some of which is coming from Nvidia’s own customers designing their own chips, Nvidia remains central to the global AI ecosystem.

Nations such as Saudi Arabia are building custom AI systems for their own populations using its ⁠chips, ​and it is one of the only large U.S. companies that continues ​to release open-source AI software, a growing field of competition between the U.S. and China.