NVIDIA GTC 2025 is set to showcase breakthrough innovations in AI, GPUs, and quantum computing. From Blackwell Ultra GPUs to next-gen Rubin architecture, get ready for major announcements from CEO Jensen Huang. With over 1,000 sessions and 2,000+ speakers, this is the must-watch event for AI, robotics, and HPC enthusiasts. 

“Every day that goes by, AI technology is moving forward at an exponential rate. It's very clear that AI is going to impact every industry. I think that every nation needs to make sure that AI is a part of their national strategy. Every country will be impacted,” Jensen Huang.

This article is in collaboration with Pallavi Singal.

As we dive in NVIDIA GTC 2025 definitely the most impactful conference on #AI is important to highlight the innovation and the steps that brought us here!

NVIDIA GTC stands for NVIDIA's GPU Technology Conference, a global AI conference for developers and industry professionals focused on artificial intelligence, robotics, and high-performance computing.

NVIDIA GPU Technology Conference (GTC) 2025 is set to take place from March 17 to March 21 in San Jose, California. This event, which has been dubbed the “Woodstock for AI”, is the company’s largest annual conference, bringing together researchers, engineers, developers, and business leaders from across the world.

The conference will feature over 1,000 sessions, 2,000 speakers, and nearly 400 exhibitors, making it one of the most significant global events focused on AI, high-performance computing (HPC), robotics, quantum computing, and enterprise technology.

The highlight of the event will be the keynote address by CEO Jensen Huang, scheduled for Tuesday, March 18, at 10 a.m. PT (1 p.m. ET) at the SAP Center. Huang is expected to make major announcements related to new GPU architectures, AI advancements, robotics, quantum computing, and enterprise solutions.

GTC 2025 will cover new hardware announcements, AI developments, robotics, autonomous driving technology, and quantum computing initiatives.

Jensen Huang’s Keynote: What to Expect

NVIDIA CEO Jensen Huang’s keynote is the most anticipated session at GTC every year. It is the platform where NVIDIA unveils its latest innovations, future product roadmaps, and AI advancements.

Key announcements expected in the keynote

1. Blackwell Ultra GPUs – The next evolution of NVIDIA’s Blackwell GPU architecture, featuring higher performance and improved memory capacity.
2. Rubin Architecture – NVIDIA’s upcoming GPU platform, which is set to succeed Blackwell in 2026.
3. AI Innovations – Updates on sovereign AI, AI agents, and enterprise AI solutions.
4. Quantum Computing – NVIDIA’s latest advancements in quantum-classical computing integration.
5. New AI-powered robotics and autonomous vehicle technologies.

The keynote will be livestreamed on NVIDIA’s official website and YouTube, allowing global audiences to watch the announcements in real time.

New hardware announcements: Blackwell Ultra and Rubin

Blackwell Ultra GPUs

One of the biggest hardware announcements at GTC 2025 is expected to be the introduction of Blackwell Ultra GPUs.

Blackwell, first introduced in 2024, is NVIDIA’s latest high-performance GPU platform designed for large-scale AI model training, generative AI, and high-performance computing. The Blackwell Ultra series is expected to bring:

• Higher computational efficiency – The next generation of Blackwell GPUs is expected to be faster and more energy-efficient, making them ideal for AI research, deep learning, and data-intensive applications.
• Expanded memory – Reports suggest that Blackwell Ultra GPUs will feature up to 288GB of memory, significantly increasing their ability to handle large language models (LLMs) and other AI-driven applications.
• Improved cooling and power efficiency – NVIDIA is expected to introduce new thermal management solutions to enhance the stability of Blackwell Ultra GPUs, particularly for high-performance AI workloads.

Rubin: NVIDIA’s next-generation GPU architecture

NVIDIA is also expected to tease the upcoming Rubin GPU architecture, which is scheduled for release in 2026. 

NVIDIA may also provide an early preview of Rubin Ultra GPUs, which could offer even higher processing capabilities for enterprise applications and AI research.

Key features of Rubin GPUs:

• Major performance leap – CEO Jensen Huang has hinted that Rubin will be a "big, big, huge step up" in computing power, making it a significant upgrade over Blackwell.
• Enhanced energy efficiency – NVIDIA is likely to focus on reducing power consumption while increasing GPU processing power.
• Optimisation for AI and HPC – Rubin GPUs are expected to support next-generation AI models, cloud computing, and scientific simulations.

AI developments: Sovereign AI and AI Agents

Artificial Intelligence will be at the core of NVIDIA’s presentations at GTC 2025.

Sovereign AI

One of the biggest topics at GTC 2025 is expected to be Sovereign AI, which refers to AI systems that operate independently within specific regions or organisations. These AI models are designed to comply with local data privacy regulations, security protocols, and enterprise needs. NVIDIA is likely to introduce:

• AI models optimised for government and enterprise use – Secure AI models that can operate within private cloud environments.
• Enhanced data security features – New frameworks that allow companies and governments to train AI on sensitive data while maintaining compliance.
• AI-driven decision-making capabilities – AI models capable of real-time analysis, forecasting, and automated reasoning.

AI Agents

NVIDIA is also expected to discuss developments in AI agents, which are designed to autonomously process data, respond to queries, and assist in real-world decision-making.

New advancements in AI-powered virtual assistants, automation, and machine learning frameworks are likely to be introduced, covering:

• AI agents for enterprises – AI-powered customer service bots, workflow automation, and AI-assisted business intelligence.
• AI reasoning models – NVIDIA may showcase new deep learning models that improve an AI agent’s ability to understand and process complex tasks.
• Autonomous AI for robotics and smart cities – AI agents capable of handling robotic automation, logistics, and urban planning.

Quantum computing: NVIDIA’s vision for the future

Quantum computing will have a dedicated segment at GTC 2025, with a focus on how it can be integrated into traditional computing environments.

A special Quantum Day event at GTC 2025 will feature executives and researchers from leading quantum computing firms, discussing the future of practical quantum applications.

Key topics in quantum computing at GTC 2025

• Quantum-Classical Integration – How NVIDIA is working on integrating quantum computing capabilities with GPUs for practical applications.
• Advancements in Quantum AI – NVIDIA is expected to introduce quantum-enhanced machine learning solutions that leverage the power of qubits for AI training.
• Partnerships with Quantum Computing Leaders – NVIDIA will host discussions with top quantum technology companies to explore developments in quantum processors, algorithms, and applications.

Robotics and autonomous systems

AI-powered robotics: NVIDIA is expected to announce advancements in AI-powered robotics, with a focus on:

• Generalist humanoid robots – Robots capable of performing multi-purpose tasks in manufacturing, logistics, and service industries.
• Industrial automation – AI-driven robotic systems for warehouses, construction, and industrial environments.
• AI-powered robotics simulation – NVIDIA may introduce new tools for training robots in virtual environments before deployment.

Autonomous vehicles: The automotive sector will be another key focus, with NVIDIA showcasing:

• Updates to the NVIDIA drive platform – AI-powered autonomous vehicle technology with improved safety and real-time decision-making.
• Advanced Driver Assistance Systems (ADAS) – AI-driven solutions that assist with lane keeping, object detection, and real-time road condition analysis.
• Collaboration with automotive manufacturers – NVIDIA will likely announce partnerships with car manufacturers to develop AI-powered vehicle technology.

Leading global personalities and keynote speakers

Some of the topics discussed at the event will be;

• Science and Computing
• Physical AI and Robotics
• AI for Humanoid Robots
• CUDA: New Features and Beyond
• The New Role of AI in Electric Vehicles
• Fast Research in PyTorch on CUDA
• Future of Data Platforms in the Gen AI era
• Rational Drug Design with AlphaFold3

Notable speakers include:

• Pieter Abbeel, director of the UC Berkeley Robot Learning Lab and co-director of the UC Berkeley Artificial Intelligence Lab
• Drago Anguelov, vice president and head of research, Waymo
• Frances Arnold, Nobel Laureate in chemistry and Linus Pauling Professor of chemical engineering, bioengineering and biochemistry, California Institute of Technology
• Gülen Bengi, chief marketing officer, Mars Snacking
• Esi Eggleston Bracey, chief growth and marketing officer, Unilever
• Noam Brown, research scientist, OpenAI
• Nadia Carlsten, CEO, Danish Centre for AI Innovation, Novo Nordisk Foundation
• Max Jaderberg, chief AI officer, and Sergei Yakneen, chief technology officer, Isomorphic Labs
• Athina Kanioura, executive vice president and chief strategy and transformation officer, PepsiCo
• Jeffrey Katzenberg, founding partner, WndrCo
• The Rt Hon Peter Kyle MP, secretary of state for science, innovation and technology, United Kingdom
• Yann LeCun, vice president and chief AI scientist, Meta; professor, New York University
• Arthur Mensch, CEO, Mistral AI
• Joe Park, chief digital and technology officer, Yum! Brands; president, Byte by Yum!
• Rajendra “RP” Prasad, chief information and asset engineering officer, Accenture
• Raji Rajagopalan, vice president, Azure AI Foundry, Microsoft
• Aaron Saunders, chief technology officer, Boston Dynamics
• RJ Scaringe, founder and CEO, Rivian
• Clara Shih, head of business AI, Meta
• Alicia Tillman, chief marketing officer, Delta Air Lines
• Pras Velagapudi, chief technology officer, Agility Robotics

More than 900 organisations will participate, including Accenture, Adobe, Arm, Airbnb, Amazon Web Services (AWS), BMW Group, The Coca-Cola Company, CoreWeave, Dell Technologies, Disney Research, Field AI, Ford, Foxconn, Google Cloud, Kroger, Lowe’s, Mercedes-Benz, Meta, Microsoft, MLB, NFL, OpenAI, Oracle Cloud Infrastructure, Pfizer, Rockwell Automation, Salesforce, Samsung, ServiceNow, SoftBank, TSMC, Uber, Volvo, Volkswagen, Wayve and Zoox.

Quantum Day Arrives

NVIDIA will host its first Quantum Day at GTC on March 20. The event will bring together the global quantum computing community and key industry figures.

Leaders from the quantum computing industry will join a panel with Huang from 10 a.m. to 12 p.m. PT, shedding light on the current state and future of quantum computing. The panel will be livestreamed and available on demand, and feature pioneers in quantum computing, including:

• Alan Baratz, CEO, D-Wave
• Ben Bloom, CEO, Atom Computing
• Peter Chapman, executive chair, IonQ
• Rajeeb Hazra, CEO, Quantinuum
• Loïc Henriet, co-CEO, Pasqal
• Matthew Kinsella, CEO, Infleqtion
• Subodh Kulkarni, CEO, Rigetti
• John Levy, CEO, SEEQC
• Andrew Ory, CEO, QuEra Computing
• Théau Peronnin, CEO, Alice & Bob
• Rob Schoelkopf, chief scientist, Quantum Circuits
• Simone Severini, general manager, quantum technologies, AWS
• Pete Shadbolt, chief scientific officer, PsiQuantum
• Krysta Svore, technical fellow, Microsoft

Co-Packaged Optics (CPO) Technology

NVIDIA is also expected to provide updates on its Co-Packaged Optics (CPO) roadmap, which aims to increase bandwidth, reduce latency, and improve energy efficiency.

As the technology matures, NVIDIA expects broader adoption of CPO by 2027, once the technical limitations are addressed. This phase will likely see CPO being fully integrated into AI and HPC infrastructure, allowing for higher efficiency in AI workloads, improved networking performance, and reduced power consumption across NVIDIA’s ecosystem. The timeline suggests that by 2027, NVIDIA’s AI computing platforms could achieve significant performance gains with enhanced optical connectivity, reinforcing its dominance in the high-performance GPU and AI markets.

Key aspects of CPO technology

• Higher Bandwidth & Lower Latency – Designed to increase data transfer speeds for AI workloads.
• Power Efficiency Improvements – Reducing overall GPU power consumption for sustainable computing. 
• Technical Challenges –
  • Heat Dissipation – High optical engine temperatures pose cooling challenges.
  • Reliability Issues – Ensuring long-term stability in data center environments.
  • Substrate Deformation Risks – Addressing manufacturing durability concerns.

AI training and certification for developers

NVIDIA is training the workforce of the future to equip them with critical skills for navigating and leading in an AI-driven future.

GTC attendees can participate in more than 80 hands-on instructor-led workshops and training labs provided by NVIDIA Training.

For the first time, onsite attendees can take certification exams for free — gaining a tremendous opportunity to validate their AI and accelerated computing skills and advance their careers.

In addition, new professional certifications will be available in accelerated data science and AI networking, as well as workshops in generative AI, agentic AI and accelerated computing with CUDA® C++.

Learn more about training offerings at GTC on the event webpage.

GTC 2025 is SOLD OUT for in-person conference* and exhibit passes

Register for a free digital pass now : https://nvda.ws/4awVcLq 

You can be part of the #GTC25 action by registering for a virtual pass to access live and on-demand sessions, dive into the latest #AI breakthroughs, and deepen your knowledge of what’s possible with accelerated computing.

“Success is a work in progress. It’s not about achieving a goal; it’s about constantly improving and pushing boundaries.” Jensen Huang

Wrap up

GTC 2025 promises to be a landmark event for AI, computing, and GPU technology. With new product announcements, advancements in AI and robotics, and discussions on quantum computing, the conference will showcase NVIDIA’s technological vision for the future.

Tech major highlights releases

• Blackwell Ultra GPUs will offer enhanced memory and computing power.
• Rubin Architecture will set the stage for the next generation of AI computing.
• Sovereign AI and AI agents will be central to NVIDIA’s AI strategy.
• Quantum computing developments will explore practical applications for real-world use cases.
• Robotics and autonomous systems will see significant advancements.
• Market challenges, including competition and regulatory issues, will shape NVIDIA’s future strategies.

Speakers and topic highlights

• Harnessing AI Agents for Enterprise Success: Insights from AI Experts
• AI in Action: Improving Customer Service Across Industries with Agentic AI
• Achieving Scale: Accelerating AI Adoption for Business Impact (Presented by Accenture)
• Securing the Future: Protecting and Consuming Agentic AI
• Empowering Global Change: United Nations Adopts AI to Further Sustainable Development Across Nations