Nvidia's GTC Berlin runs October 20–22

GTC Berlin 2026 is scheduled for October 20–22.[1] NVIDIA says workshops will take place October 20, while conference sessions and the expo are scheduled for October 21–22.[1] The keynote is scheduled for Wednesday, October 21, from 11 a.m. to 1 p.m. CEST.[1] NVIDIA says the program will include more than 100 sessions covering accelerated computing, agentic AI, robotics, open models and physical AI.[1] The breadth of topics gives attendees a way to compare announcements across the AI stack, rather than focusing only on chips.

At an October 13 event in Paris, Huang said Nvidia would announce about $2 billion in new European investments or deals within the following week.[2] BigGo reported that Nvidia’s European investments and commitments were expected to approach $10 billion combined.[2] Nvidia announced planned investments in French startups Doctolib, Entalpic, Genesis AI and Pigment, which it describes as working in healthcare, materials discovery, physical AI and business planning.[3] These are distinct from the reported German partnership and UK research support, so professionals assessing regional activity should track each project and its status separately.[2][6]

BigGo reported that Germany was planning an AI partnership with Nvidia, with several hundred million euros in government funding and an announcement possibly due that week.[2] DER SPIEGEL reported that Nvidia would assign engineers and that about a dozen German companies were expected to participate; Siemens, Audi and Black Forest Labs were named as potential participants.[5] The reported project aims to develop physical AI for robots and autonomous vehicles, along with competitive industrial AI models.[5] Government funds would also pay for computing capacity on Deutsche Telekom’s Industrial AI Cloud, according to DER SPIEGEL.[5] These details are reported plans, not confirmation that the project has been completed.

Nvidia is providing 10,000 AI chips as an investment, according to the evidence.[5] Separately, The Decoder reports that Nvidia is donating $250 million in computing resources over five years to UK labs researching AI-agent safety and security, naming Oxford’s BOLD, UCL’s SOFAIR and Imperial College London as recipients.[6] In Paris, Huang pitched open-source models as cheaper and more adaptable, saying they could help Europe close the AI gap.[4] BigGo notes that ecosystem maturity, local procurement pace and government subsidy approvals could affect how quickly projects advance.[2] Those factors make delivery timelines important to monitor.