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NVIDIA's GTC 2025 event, dubbed "AI Woodstock,"has showcased the company's latest advancements in GPU technology andartificial intelligence. CEO Jensen Huang unveiled several groundbreakingproducts that are set to shape the future of AI computing.

BLACKWELL ULTRA

The star of the show was the Blackwell Ultra, NVIDIA'snext-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 energyefficiency, stating, "You want to make sure you have the mostenergy-efficient architecture you can possibly get"5.

The Blackwell Ultra is designed to drive AI systems formajor clients, including hyperscalers like Amazon, Google, Microsoft, and Meta,as well as research institutions worldwide4. NVIDIA claims that the Blackwell Ultra chipdelivers 1.5 times the performance of its predecessor and offers a remarkable50-fold increase in revenue potential for data centers compared to its Hopperchip4.

VERA RUBIN ARCHITECTURE

Looking ahead, Huang announced the Vera Rubin architecture,named after the renowned astronomer. The Rubin series is set to launch in thesecond half of 2026, introducing a new CPU that boasts double the performancecompared to its predecessor, along with increased memory and bandwidth3. Huang stated, "Basically everything is brandnew except for the chassis"5.

The Vera Rubin Ultra is scheduled for release in the latterpart of 2027, incorporating several GPUs interconnected for enhancedperformance3. Huang highlighted the cost-effectiveness of thisnew architecture, saying, "You can see that Rubin is going to drive thecost down tremendously"5.

FEYNMAN ARCHITECTURE

NVIDIA's roadmap extends even further with the announcementof the Feynman architecture, planned for release in 202813. This demonstrates NVIDIA's commitment to long-terminnovation in GPU technology.

AI APPLICATIONS AND ECOSYSTEMS

Huang emphasized the growing importance of AI reasoning,stating, "AI has made a giant leap — reasoning and agentic AI demandorders of magnitude more computing performance"6. To support this, NVIDIA introduced Dynamo,described as "the operating system of an AI factory," which aims tostreamline 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 aimedat constructing humanoid robots"3. This development showcases NVIDIA's expansionbeyond traditional GPU applications into the realm of robotics and physical AI.

In conclusion, NVIDIA's GTC 2025 announcements reflect thecompany's vision of an AI-driven future, with GPUs at the center of thistechnological revolution. As Huang aptly put it, "We have reached thetipping point of accelerated computing — CUDA has made it possible"5.

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Eamonn Darcy

Director: AI Technology

Sources:

"You want to make sure you have the most energy-efficient architecture you can possibly get"1
"Basically everything is brand new except for the chassis"1
"You can see that Rubin is going to drive the cost down tremendously"1
"AI has made a giant leap — reasoning and agentic AI demand orders of magnitude more computing performance"1
"We have reached the tipping point of accelerated computing — CUDA has made it possible"1
"Reasoning and agentic AI adoption is incredible"1
"NVIDIA's open reasoning models, software, and tools give developers and enterprises everywhere the building blocks to create an accelerated agentic AI workforce"1
"Every industry, every company that has factories will have two factories in the future"2
"The factory for what they build and the factory for the mathematics; the factory for the AI"2
"We're looking forward to building with GM AI in all three areas"2
"We work with the car industry however the car industry would like us to work with them"2
"It will likely be the most advanced accelerated hybrid quantum computing research lab world"3
"By integrating silicon photonics directly into switches, Nvidia is shattering the old limitations of hyperscale and enterprise networks and opening the gate to million-GPU AI factories"4
"These advanced reasoning models will refine and rewrite user queries, enabling our AI to better understand inquiries and deliver smarter, more efficient AI-powered experiences that drive business innovation"

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