Nemotron models are released with open weights, datasets and recipes, giving organizations transparency and control to customize models for domain-specific workflows and deploy them where their applications and data reside.
Developers can use tools like NVIDIA NeMo for customization, evaluation and optimization for their use cases. Because the Nemotron family of models is open, organizations can deploy them in environments that meet regulatory, sovereignty or data localization requirements.
The models are available on Hugging Face , ModelScope , OpenRouter and build.nvidia.com as NVIDIA NIM microservices and through a broad ecosystem of NVIDIA Cloud Partners , inference platforms and cloud service providers.
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.
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 GR00T X Embodiment Sim dataset has crossed more than 10 million downloads on Hugging Face .
Isaac Teleop , now generally available, is an open source framework for real-time robot teleoperation and data capture across simulated and physical robots. It connects extended-reality headsets, gloves, motion trackers and other teleoperation devices to workflows that integrate with Isaac Lab, Isaac Sim, ROS 2 and Isaac ROS, reducing duplicated work.
Leading teleoperation device makers such as PICO support Isaac Teleop natively, and robotics developers including Foxconn and Lightwheel are incorporating it into their training pipelines.
The latest GR00T 1.7 model — pretrained on 20,000 hours of human egocentric data and built on Cosmos Reason 2 as its backbone — enables more complex bimanual and dexterous manipulation tasks, such as selecting a card from a stack and inserting it into a holder. Currently in early access, GR00T 1.7 is integrated with HuggingFace’s LeRobot and available under a commercial license so developers can build and deploy derived models beyond research settings.
Techman Robot uses the GR00T development platform and GR00T 1.7 model to accelerate its development pipeline, bringing AI into real industrial use faster.
Now part of the OpenMDW-1.1 license from the Linux Foundation , future Isaac GR00T open model releases will be available under a single, model-centric license, making it easier for developers to build, customize and deploy GR00T model materials across robotics workflows.
In addition, the Isaac Lab 3.0 Developer Preview expands robot learning with richer physics through Newton physics engine integration and multi-GPU scaling for large physical AI experiments. Developers can train policies against more realistic scenarios, including complex mechanisms, materials and environments. Unified actuator models across Isaac Lab and Isaac Sim help reduce mismatches between policy learning and software-in-the-loop testing, exposing issues before full-stack validation or hardware deployment.
Flexion AG has achieved up to a 5x speedup on perceptive workload training using Isaac Lab for humanoid locomotion and manipulation policies.
Isaac Sim 6.0 , now generally available, gives developers a simulation environment to validate robot behavior and test the full software stack before deployment. New agent skills help teams automate simulation workflows, while Newton authoring and software-in-the-loop testing let policies trained in Isaac Lab be evaluated against more realistic robot software and physics. The release also adds more than 1,000 simulation-ready graspable assets to accelerate manipulation testing.
RLWRLD developed its RLDX-1 dexterity foundation model with Isaac Sim, while Robotiq has integrated Isaac Sim into its open workflows for tactile sensing to improve contact-rich manipulation. Lyte is working with NVIDIA to connect LyteVision’s real-world multimodal capture with Isaac Sim, OpenUSD, SimReady and NVIDIA Warp workflows, turning captured scenes into SimReady assets and environments for training robot perception and manipulation policies
The final piece of the workflow is deployment. Isaac ROS 4.4 connects learned robot skills from Isaac Sim and Isaac Lab to the ROS 2 software stack, sensors and accelerated compute needed for real-world testing, with new support for extended reality teleoperation, manipulation workflows and Jetson Thor-class hardware.
Developers can explore the NVIDIA Isaac open robotics development platform for the tools, models and compute needed to accelerate humanoid development across the full workflow. The end-to-end validated reference workflow from data to deployment will be available in the second half of this year.
Watch the GTC Taipei keynote from NVIDIA founder and CEO Jensen Huang and explore these physical AI sessions .
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Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
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Reference reading
- https://blogs.nvidia.com/blog/nvidia-gtc-taipei-computex-2026-news/#primary
- https://blogs.nvidia.com/blog/author/nvidiawriters/
- https://blogs.nvidia.com/blog/nvidia-gtc-taipei-computex-2026-news/#disqus_thread
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