{"slug": "jensen-huang-sends-in-the-robot-ducks-to-sell-nvidia-s-ai-everywhere-vision", "title": "Jensen Huang sends in the robot ducks to sell Nvidia's AI-everywhere vision", "summary": "Nvidia CEO Jensen Huang used his GTC Berlin keynote at the Tempodrom to unveil DSX POD, a reference design for factory-built, containerized AI infrastructure combining seven liquid-cooled Vera Rubin compute racks over Spectrum-X networking, with partner integration and availability expected in early 2027. Nvidia claims DSX POD can cut deployment from six months to as little as 14 days at a prepared site, and Huang said that at 2 gigawatts DSX can save 54 million litres of water a day through closed-loop liquid cooling with coolant temperatures up to 45°C. Huang also showed Pollen Robotics' two-legged Microducks, which responded to voice commands, and introduced Agile ONE SN, a humanoid robot reference platform from German startup Agile Robots built on Isaac GR00T and a Jetson Thor module, scheduled for early 2027; environmental protesters briefly interrupted the keynote before security removed them.", "body_md": "# Jensen Huang sends in the robot ducks to sell Nvidia's AI-everywhere vision\n\n[The Register](https://www.theregister.com)\n\nContainerized datacenters, androids, and telecoms all feature in Berlin keynote interrupted by environmental protesters\n\nCute robots stole the show at [Nvidia](https://www.machinebrief.com/glossary/nvidia)'s GTC keynote in Berlin, where Jensen Huang pitched a future powered by AI agents – and, naturally, plenty of his company's hardware.\n\nThe Nvidia chief remained his usual ebullient self despite environmental protesters interrupting his presentation at Berlin's tent-shaped Tempodrom.\n\n\"Why don't you clean up your act?\" they demanded, holding up banners that partially obscured the presentation screen behind Huang.\n\n\"All important issues, but let me get through my keynote,\" he joked, adding: \"I'll talk to you guys later,\" as security swiftly removed them.\n\nHuang was discussing Vera Rubin systems before unveiling DSX POD, [a reference design for factory-built, containerized AI infrastructure](https://www.theregister.com/on-prem/2026/10/21/nvidias-grand-plan-for-speeding-up-datacenter-deployments-ai-trailer-parks/5304303).\n\nDSX POD combines seven liquid-cooled Vera Rubin [compute](https://www.machinebrief.com/glossary/compute) racks using Nvidia's Spectrum-X networking. Partners will cable, integrate, and test the systems in modular containers before delivery, with availability expected in early 2027.\n\nNvidia claims deployment could shrink from six months to as little as 14 days at a prepared site. That excludes the not insignificant matter of getting power, connectivity, and other site infrastructure ready first.\n\nHe was keen to add that Vera Rubin systems are designed for closed-loop liquid cooling with coolant temperatures up to 45°C, while outdoor dry coolers release heat into the air without needing to evaporate water. \"At 2 gigawatts, DSX can save 54 million litres of water a day,\" Huang claimed, perhaps thinking of those environmental protesters.\n\nYet much of the leather-jacketed leader's [attention](https://www.machinebrief.com/glossary/attention) was focused on physical AI: robots, autonomous vehicles, and other machinery Nvidia hopes to supply with its hardware and software.\n\nThe [Microducks](https://pollen-robotics.com/microduck/) from Pollen Robotics are small, two-legged robots with cameras for faces. Huang interacted with them on stage, getting them to lie down and roll over by voice command, and the little robots all beeped back at him in response.\n\nThe robo ducks demonstrated a workflow in which AI was trained in the cloud, evaluated on an Nvidia RTX Spark PC, then deployed on the robots.\n\nHuang also unveiled Agile ONE SN, a humanoid robot reference platform from German robotics startup Agile Robots, based on Nvidia's Isaac GR00T technology and a Jetson Thor compute module. Scheduled for early 2027, the platform is intended to give robotics researchers and developers a ready-made system for developing and testing capabilities.\n\n\"This is going to be the next major industry, the next great industry,\" Huang claimed.\n\nBeyond robots, Nvidia is pushing its AI hardware and software into cars and telecoms networks. Huang boasted that Nvidia's Hyperion car system is being adopted by more vendors, saying: \"We turned this into an industry standard, and now it's being designed into one car fleet after another.\"\n\nEurope's telecoms operators are also deploying Nvidia-powered computing in their networks to deliver advanced services using AI-RAN, according to Huang. \"After working on this for nearly eight years, Nvidia made the first commercial phone call on the T-Mobile network with Nokia, and so now [CUDA](https://www.machinebrief.com/glossary/cuda) makes phone calls,\" he said.\n\nFar from slowing down the progression of AI, it seems Nvidia is determined to push its technology into every corner of the world. \"Everyone will become an AI company,\" Huang claimed.\n\nHe also took care to praise Europe and its technology efforts while he was in Berlin. \"As expected, Jensen positioned Nvidia as a strong supporter of – and enabler for – Europe's sovereign tech ambitions. Nvidia has invested almost $10 billion into Europe in the past year, including 14 investments into European startups during Jensen's current trip,\" said Forrester principal analyst Paul Miller.\n\nBut Miller pointed out that Nvidia itself is not European. \"Anything with critical ongoing dependencies on Nvidia (or any other non-European firm) is unlikely to meet the purest definitions of European tech sovereignty,\" he added.\n\nHuang closed with a CGI video of robots performing a Eurovision-style song recapping his keynote. Yes, it was as bad as you imagine. ®\n\nGet AI news in your inbox\n\nDaily digest of what matters in AI.\n\n## Key Terms Explained\n\n[Attention](https://www.machinebrief.com/glossary/attention)\n\nA mechanism that lets neural networks focus on the most relevant parts of their input when producing output.\n\n[Compute](https://www.machinebrief.com/glossary/compute)\n\nThe processing power needed to train and run AI models.\n\n[CUDA](https://www.machinebrief.com/glossary/cuda)\n\nNVIDIA's parallel computing platform that lets developers use GPUs for general-purpose computing.\n\n[NVIDIA](https://www.machinebrief.com/glossary/nvidia)\n\nThe dominant provider of AI hardware.", "url": "https://wpnews.pro/news/jensen-huang-sends-in-the-robot-ducks-to-sell-nvidia-s-ai-everywhere-vision", "canonical_source": "https://www.machinebrief.com/news/jensen-huang-sends-in-the-robot-ducks-to-sell-nvidias-ai-eve-slj3", "published_at": "2026-10-21 15:00:00+00:00", "updated_at": "2026-10-21 16:11:46.159713+00:00", "lang": "en", "topics": ["ai-infrastructure", "robotics", "ai-chips", "artificial-intelligence"], "entities": ["Nvidia", "Jensen Huang", "DSX POD", "Vera Rubin", "Pollen Robotics", "Agile Robots", "Agile ONE SN", "Isaac GR00T"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/jensen-huang-sends-in-the-robot-ducks-to-sell-nvidia-s-ai-everywhere-vision", "markdown": "https://wpnews.pro/news/jensen-huang-sends-in-the-robot-ducks-to-sell-nvidia-s-ai-everywhere-vision.md", "text": "https://wpnews.pro/news/jensen-huang-sends-in-the-robot-ducks-to-sell-nvidia-s-ai-everywhere-vision.txt", "jsonld": "https://wpnews.pro/news/jensen-huang-sends-in-the-robot-ducks-to-sell-nvidia-s-ai-everywhere-vision.jsonld"}}