Nvidia’s GTC 2026 Arrives: Six Key Things Investors Are Watching Out For

2026-03-16 16:26:28

Chipmaking giant Nvidia’s NVDA +2.30% ▲ closely followed four-day GPU Technology Conference (GTC) 2026 is set to commence later today with a keynote address from CEO Jensen Huang.

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Analysts and investors alike are looking for updates on several key areas from the annual developer conference. This includes a possible announcement on an inference chip with Groq, a roadmap for the Vera Rubin successor Feynman, a strategy to rival Intel INTC +5.90% ▲ and Advanced Micro Devices AMD +2.30% ▲ in the central processing unit (CPU) market, and a playbook for the race to develop photonic, or light-based, chips.

Inference chip with Groq: Although analysts are divided on whether Nvidia will pull back the curtains on an inference chip designed in partnership with startup Groq — whose assets Nvidia bought last year in a $17 billion deal — Huang will be expected to outline Nvidia’s strategy in this regard. Inference refers to the processing of deploying AI models for tasks such as responding to user queries. This is seen as the next frontier market as AI efforts move beyond model training — an area Nvidia has dominated — to practical application, especially autonomous tasks done by AI agents.
Vera Rubin and successor Feynman: Although Nvidia has stated plans to start shipping the next-generation Vera Rubin AI system during the second half of this year, industry watchers will likely anticipate more updates on the move. And more importantly, all eyes will be on Nvidia’s roadmap for the successor system, the Feynman — which is named after notable American theoretical physicist Richard Feynman.
GPU Game Plan: The shift towards inference also means renewed focus on CPUs, which are increasingly being favored for this task. Having mentioned this in its recent earnings call, investors will seek more updates on this, especially regarding market rivalry with market leaders Intel and AMD.
Photonics Strategy: As tech companies race to go beyond copper wire technology to develop photonics chips that use light to vastly accelerate data transfer between chips at data centers, focus will be on what Nvidia is doing here. This is particularly important as Nvidia recently committed $2 billion each to photonics makers Coherent COHR +6.52% ▲ and Lumentum LITE +4.46% ▲ .
CUDA: Nvidia’s Compute Unified Device Architecture (CUDA), its chip programming software, lies at the heart of the application of its GPUs for tasks such as AI training, scientific simulation, and physical AI (robots, autonomous systems, and real-world AI agents). With physical AI seeing a massive boom, investors will watch out for Nvidia’s plans to tap into this.
H200 export to China: While President Donald Trump’s administration has given Nvidia the go-ahead to export its mature-but-not-most-powerful H200 processors to China under certain conditions, opposition remains. Two Democratic lawmakers on Monday issued a statement warning of risk to America’s national security. China is one of the fastest-growing markets for AI chips, but Huang last October noted that the company’s share of the local GPU market had collapsed from 95% to zero.

Is NVDA a Strong Buy?

On Wall Street, Nvidia’s shares continue to enjoy a Strong Buy consensus rating from analysts. This is based on 38 Buys and one Hold issued over the past three months.

Moreover, the average NVDA price target of $273.61 implies about 52% upside from the current trading levels.

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