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NVIDIA's GTC 2025 event, dubbed "AI Woodstock," has showcased the company's latest advancements in GPU technology and artificial intelligence. CEO Jensen Huang unveiled several groundbreaking products that are set to shape the future of AI computing.
The star of the show was the Blackwell Ultra, NVIDIA's next-generation GPU architecture. Set to launch in the latter half of 2025, this new GPU boasts increased memory capacity compared to its predecessor, allowing it to accommodate larger AI models1. Huang emphasized the importance of energy efficiency, stating, "You want to make sure you have the most energy-efficient architecture you can possibly get"5.
The Blackwell Ultra is designed to drive AI systems for major clients, including hyperscalers like Amazon, Google, Microsoft, and Meta, as well as research institutions worldwide4. NVIDIA claims that the Blackwell Ultra chip delivers 1.5 times the performance of its predecessor and offers a remarkable 50-fold increase in revenue potential for data centers compared to its Hopper chip4.
Looking ahead, Huang announced the Vera Rubin architecture, named after the renowned astronomer. The Rubin series is set to launch in the second half of 2026, introducing a new CPU that boasts double the performance compared to its predecessor, along with increased memory and bandwidth3. Huang stated, "Basically everything is brand new except for the chassis"5.
The Vera Rubin Ultra is scheduled for release in the latter part of 2027, incorporating several GPUs interconnected for enhanced performance3. Huang highlighted the cost-effectiveness of this new architecture, saying, "You can see that Rubin is going to drive the cost down tremendously"5.
NVIDIA's roadmap extends even further with the announcement of the Feynman architecture, planned for release in 202813. This demonstrates NVIDIA's commitment to long-term innovation in GPU technology.
Huang emphasized the growing importance of AI reasoning, stating, "AI has made a giant leap — reasoning and agentic AI demand orders of magnitude more computing performance"6. To support this, NVIDIA introduced Dynamo, described as "the operating system of an AI factory," which aims to streamline and enhance the efficiency of reasoning models3.
The company also unveiled the NVIDIA Isaac GR00T N1, "the world's first open and fully customizable AI foundation model aimed at constructing humanoid robots"3. This development showcases NVIDIA's expansion beyond traditional GPU applications into the realm of robotics and physical AI.
In conclusion, NVIDIA's GTC 2025 announcements reflect the company's vision of an AI-driven future, with GPUs at the center of this technological revolution. As Huang aptly put it, "We have reached the tipping point of accelerated computing — CUDA has made it possible"5.
