NVIDIA GTC 2025 Highlights: $500B Chip Sales, $5T Market Cap, and an Expanding NVIDIA Ecosystem

TradingKey - AI leader Nvidia (NVDA) unveiled an upside surprise in Blackwell chip revenue outlook and announced a wave of new partnerships across AI, data centers, 6G networks, autonomous driving, and quantum computing at its 2025 GTC conference. CEO Jensen Huang’s bullish vision for future technologies lifted Nvidia shares to a new all-time high, with the company’s market cap nearing $5 trillion.

On Tuesday, October 28, Nvidia stock rose 4.98% to $201.03, setting a new record. Market capitalization reached $489 billion. Year-to-date in 2025, Nvidia shares are up 49.70%, with a gain of over 11% in the past five days.

Held from October 27–29 in Washington, D.C., the NVIDIA GTC — dubbed the “Super Bowl of AI” — brought together developers, industry leaders, and innovators to explore breakthroughs in AI, quantum computing, robotics, and more.

As per Nvidia’s official site, AI-focused sessions were divided into specialized tracks, including:

• Agent AI
• Inference AI
• AI Factories
• Physical AI
• Telecom AI

Chip Sales Outlook Beats Expectations

The highlight was CEO Jensen Huang’s keynote address on Tuesday, which further amplified optimism around chip demand.

Huang revealed that Nvidia’s most advanced AI chip, the Blackwell GPU, is now in full production in Arizona, marking a milestone in reducing reliance on TSMC’s foundry services.

He said that they have shipped 6 million Blackwell GPUs over the past four quarters, and demand remains strong.

Looking ahead, Huang projected:

• 20 million Blackwell chips to be shipped — five times the 4 million Hopper chips sold over their entire lifecycle
• This exceeds market expectations of 15 million

Even more significantly, Blackwell and next-generation Rubin chips will generate $500 billion in revenue over the next five quarters.

Goldman Sachs noted this figure is well above:

• Consensus estimate: $447 billion
• Goldman’s prior forecast: $453 billion — representing a ~10% upside.

Goldman stated that this guidance significantly improves long-term revenue visibility — a clear positive for Nvidia’s stock. It called this the strongest market signal from the entire GTC event.

Some analysts observed that the $500B forecast may not include potential China sales resumption, suggesting it could still be conservative.

U.S. President Donald Trump recently said he plans to meet with Huang on Wednesday and discuss Nvidia chip exports with Chinese President Xi Jinping during their summit on Thursday. If U.S.-China trade tensions ease as expected, Nvidia’s revenue outlook could be raised further.

Expanding the NVIDIA AI Ecosystem

Beyond the impressive chip sales outlook, Nvidia’s series of AI ecosystem partnerships sparked excitement across industries and financial markets.

Believing the U.S. can reclaim leadership in communications technology, Nvidia unveiled NVIDIA ARC — an AI-native 6G wireless technology stack built on American innovation, combining Grace CPUs, Blackwell GPUs, and advanced networking components.

Additionally:

• Nokia partnership: Deep collaboration on AI-powered 6G platforms, with Nvidia investing $1 billion in Nokia
• Industry analysts say this marks the dawn of a new era in native-AI wireless technology

Huang also announced NVQLink, a new high-speed interconnect architecture built on CUDA-Q, Nvidia’s quantum development platform. NVQLink connects quantum processors with GPUs and CPUs — not to replace quantum computers, but to accelerate them.

The technology has already gained support from leading quantum firms, including Rigetti, InoQ, Atom Computing, Alice & Bob and others.

Source: TradingKey compilation

D.A. Davidson analyst said that these announcements show Nvidia’s ability to extend beyond core data center customers.

While these projects are still early compared to capex from hyperscalers like Microsoft, Amazon, Google, and Meta, they are expected to open new growth avenues for Nvidia.

AI Bubble? Or the AI Tuning Point?

Throughout his speeches, Huang made it clear: he does not believe in an AI bubble. Instead, he used strong demand, robust revenue projections, and broad cross-industry partnerships to argue that AI is hitting a new inflection point.

Bloomberg summarized Huang’s core message:

“Artificial intelligence models are now powerful enough that customers are willing to pay for them — and that in turn will justify the costly build-out of computing infrastructure.”

In an interview, Huang said:

“I don’t believe we’re in an AI bubble,” Huang said during a Bloomberg Television interview after the presentation. “All of these different AI models we’re using — we’re using plenty of services and paying happily to do it.”