At NVIDIA GTC Taipei at COMPUTEX, the world’s developers, researchers and industry leaders are converging to dive into the latest breakthroughs shaping every industry, covering topics spanning AI factories and scaling infrastructure to agentic and physical AI and more.

This is the place to find all the latest — stay tuned to the blog for live updates.

Tuesday, June 2, 10:30 p.m. PT

Build-a-Claw Comes to Taipei, Bringing Long-Running AI Agents

The Build-a-Claw experience has come to GTC Taipei — putting secure, long-running agent development directly into the hands of the APAC developer community.

Build-a-Claw signals how rapidly the developer community and ecosystem are scaling agents. Starting with OpenClaw and Hermes Agent, attendees configured their claw’s persona, added agent skills and set its schedule. Then, they used NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime to deploy their agent safely and securely for their environment.

Claws, aka long-running agents, are a class of AI systems that go beyond mere prompt-answering. Unlike agents that complete a single task and vanish, claws persist: They work toward a goal, adapt when they hit obstacles, surface status updates and keep executing in the background even after a developer steps away.

They’re the engine behind intelligent enterprise automation, agentic commerce and autonomous infrastructure — and building them right demands more than clever architecture. It demands a secure runtime.

NVIDIA NemoClaw combines flexible support for agent harnesses — aka agent orchestration frameworks — with NVIDIA OpenShell as the secure runtime. It works with harnesses such as OpenClaw and Hermes Agent, giving developers a hardened, sandboxed foundation for claw development.

OpenShell provides the runtime security boundary: isolating agent workloads, enforcing policy and keeping autonomous execution within guardrails that developers and their organizations can trust. NemoClaw blueprints further lower the barrier to entry by giving builders ready-to-adapt patterns for creating secure, enterprise-ready agents.

Tuesday, June 2, 5:00 p.m. PT

NVIDIA Isaac GR00T Accelerates Humanoid Robot Development From Data to Deployment

Building humanoids is complex, and progress often depends on how quickly teams can move through the full development loop: collect demonstrations, generate and refine data, train policies, test in simulation, validate the full software stack and deploy on real hardware. Developers today must handle many disconnected tools and handoffs across that workflow.

Major updates to NVIDIA Isaac GR00T, an open, end-to-end development platform for humanoid robots, are accelerating that cycle. The platform unifies technologies including Isaac Teleop, Isaac Lab, Isaac Sim, Isaac ROS, GR00T open models and NVIDIA Jetson Thor for real-time inference and control, giving developers a prescriptive way to move from data to deployment.

Agility, Boston Dynamics, Dyna Robotics, Figure, FieldAI, Noble Machines, Richtech Robotics and Skild AI are using core components of NVIDIA’s humanoid robotics stack to accelerate robot development.

The development flywheel is already gaining momentum. GR00T models have reached 274,000 downloads, while the