独特的演讲嘉宾和见解。令人难忘的经历。行业领先的研讨会和培训。这一切都发生在 GTC 大会上。带上您的整个团队,尽享优惠。
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2026 年 3 月 16 — 19 日,我们将安排 70 多场两小时的迷你实操课程,可自选加购的迷你实操课程通行证将涵盖这些课程的权益。您可以在现有的四天会议报名费基础上,额外支付 500 美元,升级参会权益。只需登录您的 GTC 注册页面,选择“Add Package” (添加套餐) ,然后选择“Training Labs Access pass” (全天实操培训通行证) 即可。购买三张或以上通行证享受团体折扣。
席位有限。我们仅在培训开始前保留您的预约,因此请至少提前 10 分钟到达。选择“Add to Schedule” (添加到日程表) 预约席位。
以下是今年的部分特色课程:
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.
购买三个或更多实战培训席位可享受七折优惠。
当地时间 3 月 15 日 (星期日) | 8:30 – 17:00
注册参加 NVIDIA 培训和认证的全天实战培训,探索前沿的 NVIDIA 技术和开发工具。培训课程由专家开发并指导,帮助您在技术领域保持领先地位,获得 AI 开发实战技能。完成课程并通过课程内测试,您将获得 NVIDIA 培训证书。所有全天实战培训将于 3 月 15 日 (星期日) 在圣何塞会议中心的下层和大厅层举行。
实操培训门票已售罄。您仍然可以加入等待名单,有席位开放时将通知您,或者注册参加我们举办的在线实操培训。
如果您无法参加活动,请通过 GTC_registration@nvidia.com 提交取消申请。 将收取以下手续费:
如需变更参会人,必须在北京时间 2026 年 3 月 7 日 (星期六) 15:59 之前收到您的变更需求邮件。如您在注册时遇到困难,请发送电子邮件至 GTC_registration@nvidia.com,我们将竭诚为您服务。