Hands-On Workshops, Training Labs, and Certifications at GTC
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Two-Hour Training Labs
More than 60 two-hour instructor-led training lab sessions are scheduled from March 16–19, and included as part of the conference add-on Training Labs Access pass. You can still upgrade your experience by adding the $500 pass to your existing four-day conference registration. Just log in to your GTC registration, select “Add Package,” and choose the Training Labs Access pass. Group discounts are available for purchases of three or more passes.
Seating is limited. Reservations are held only until the posted start time, so please arrive at least 10 minutes early.
Reserve a seat by selecting "Add to Schedule".
Below are a few featured labs from this year’s lineup:
Dive deep into the theory and practice of low-latency inference by deploying NVIDIA® TensorRT™-LLM with advanced speculative decoding techniques. You'll train an Eagle-3 draft head to propose candidate tokens efficiently, serve it, and benchmark it using AIPerf to quantify how these strategies minimize latency.
In this hands-on lab, learn about the challenges of running training pipelines and how to integrate resiliency and fault-tolerance features. We'll present various fault-tolerance mechanisms provided in frameworks like NVRx and PyTorch, and demonstrate how to achieve robust, scalable training in modern AI factories using NVIDIA NeMo™. Gain practical insights into techniques for measuring I/O and overall infrastructure performance.
Learn proven strategies for tabular data developed by NVIDIA’s Kaggle grandmasters, who have earned top honors in hundreds of international data science competitions. You'll practice rapid electronic design automation (EDA), large-scale feature engineering, model building, ensembling, and pseudo-labeling—all accelerated with GPUs for faster experimentation and better accuracy.
This hands-on lab introduces mechanical and simulation engineers to GPU-accelerated, real-time CFD workflows that combine interactive visualization with physics-AI models. Participants will use NVIDIA technologies to connect CFD simulations, PhysicsNeMo, and digital twin environments, enabling faster iteration and more reliable design insights.
Learn how to create intelligent operational dashboards for digital twin applications using NVIDIA Omniverse™. Build compact, real-time monitoring interfaces with React to track factory metrics, robot states, and sensor data streams. Embed custom panels into Kit applications and deploy dashboards across local and cloud environments. Learn to integrate LLM agents for natural language interaction with your digital twin data.
Learn how to build robust OpenUSD-based data pipelines using USD Exchange SDK and existing 3D software and tools for scalable physical AI workflows. Start with common 3D source formats and write Python-based code to extract, transform, and load assets into reusable, modular USD representations suitable for large-scale workflows.
In this hands-on lab, General Robotics will guide you through a complete, end-to-end solution development workflow built on the NVIDIA ecosystem. You'll learn how to capture teleoperated tasks for robotics and simulate in NVIDIA Isaac Sim™, generate high-volume synthetic datasets and test policies, deploy learned behaviors to real robots running on NVIDIA Jetson™, and, finally, analyze performance and iterate.
Group Pricing
Purchase three or more training lab seats and save 30%.
Sunday, March 15 | 8:30 a.m.–5 p.m. PDT
Full-Day Workshops
Immerse yourself in next-generation NVIDIA technology and tools by registering for a hands-on technical workshop. Led by expert instructors, these workshops dive deep into the tools and skills you need to succeed. Plus, you'll earn a certificate of competency when you’re done. All workshops will take place on March 15, at the San Jose Convention Center on the Lower and Concourse levels.
Workshops are sold out. You can still join the waitlist to be notified when a seat becomes available, or register for our virtual public workshops in the Americas and EMEA time zones.
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Workshop Cancellation Policy
If you can’t make the event, submit your cancellation requests at GTC_registration@nvidia.com. The following processing fees will apply:
- Before 11:59 p.m. PST, Monday, February 23, 2026: A $50 processing fee/cancellation penalty will apply.
- After 11:59 p.m. PST, Monday, February 23, 2026: No refunds will be granted.
- No-shows are ineligible for workshop refunds.
Substitution requests will be granted but must be received by 11:59 p.m. PST, Friday, March 6, 2026. To transfer your registration to a colleague or if you’re having difficulty registering online, please email GTC_registration@nvidia.com, and we'll be happy to assist you.