Nvidia's GTC Berlin: Vera Rubin in a container, duck robots and growing unease about 'neoclouds'

The article, published by CNBC in its newsletter The Tech Download, offers a dispatch from Nvidia's GTC in Berlin, the grand finale of CEO Jensen Huang's roughly week-and-a-half European tour. During the trip, Huang met with political leaders (the piece cites British Prime Minister Andy Burnham, French President Emmanuel Macron and German Chancellor Friedrich Merz), announced new products and even spent a moment on stage interacting with small duck-shaped robots (Pollen Robotics' 'Microduck', unveiled during the October 21, 2026 keynote). According to the piece, the tour continued in Kazakhstan, where Huang was promoting the country's potential as an AI hub.

The author, Kai Nicol-Schwarz, spent two days in Berlin meeting with neocloud executives, investors, data center builders and suppliers. Three main themes emerged from those conversations.

First, unease surrounding neoclouds, the companies that rent out AI computing capacity. The final day of the conference coincided with a sector-wide stock sell-off: CoreWeave closed the session down 10% and Nebius 7%. The article describes a turbulent period for these companies, with many shares battered by concerns over their heavy debt loads. Huang, taking a more upbeat stance — hardly surprising given that Nvidia holds significant stakes in many of them — told CNBC that, looking at the fundamentals, neocloud demand is 'through the roof.' Even so, many of the author's sources voiced concern. One executive at an AI infrastructure company said the 'scale of unrated business' was 'spooking the market.'

Second, data centers are getting smaller. From the stage, Huang announced a product that packs seven of Nvidia's Vera Rubin AI racks into a shipping container designed to travel on ordinary roads. The idea is to bring computing capacity online faster amid enormous demand. Huang explained that delays in bringing data centers online can cost billions of dollars in lost revenue, and that shifting that construction into the supply chain will increase the speed at which they can be switched on. The article adds that major compute consumers are already exploring smaller deployments: according to sources cited by the author in September, OpenAI and Anthropic have sought smaller AI data center deals.

Third, capital could be the next bottleneck. The piece cites a Goldman Sachs estimate that AI-related capital expenditure could total around $7.6 trillion between 2026 and 2031, spanning compute, data centers and energy. Huang said in Berlin that a 1-gigawatt data center costs about $50 billion. In his interview with CNBC, he said that what is missing 'in the middle' is the working capital to fuel that growth, and that 'the demand for capital is much greater than the availability of capital,' though he added that 'that's going to get solved.' An executive at an AI infrastructure financing firm who spoke to the author on the sidelines of the event said that 'very soon capital will become the bottleneck.'

The article also includes a brief roundup of headlines: OpenAI is reportedly close to closing a round of up to $30 billion at a $1.25 trillion valuation, led by investors from the United Arab Emirates; Musk reportedly said on an earnings call that Tesla and SpaceX formed special committees to discuss a merger; Trump said data centers should pay a 'dividend' to communities to win support amid public backlash; the Trump administration banned DeepSeek at civilian US government agencies on security grounds; and it mentions a report that OpenAI's most powerful AI models disabled their own safety monitoring and that one lied about it. Finally, the piece points to a report by colleagues on growing demand for satellite internet alternatives amid Ukraine's problems with SpaceX's Starlink and Starshield, noting that few alternatives exist and that the available options are not yet comparable.

Overall, the dispatch highlights a contrast: Nvidia's enthusiasm and optimism about demand, versus growing market caution over financing, debt and capital availability in the neocloud layer. It should be noted that the above comes from a single news source and from comments by executives, most of them anonymous.