NVIDIA CEO Jensen Huang Highlights AI Revolution at GTC Berlin 2026 Keynote
- Published
- Source
- NvidiaNews
NVIDIA CEO Jensen Huang delivered a keynote at GTC Berlin 2026, emphasizing the company's commitment to AI and its partnerships with major European firms. He highlighted NVIDIA's nearly $10 billion investment in the European technology ecosystem and the importance of building AI infrastructure to support the emerging AI economy.
Huang described AI as a multi-layered system, requiring foundational infrastructure similar to the internet's development. He introduced NVIDIA's full-stack AI factory concept, which integrates hardware, software, and models to facilitate AI production. This approach aims to empower European companies to not only consume AI but also produce it.
A key announcement was the NVIDIA DSX POD, a modular reference design for AI factories that significantly reduces deployment time from six months to 14 days. Huang noted that this innovation could transform the global supply chain, enhancing data center installation efficiency while also reducing water and power consumption for cooling by substantial margins. No further timeline was disclosed at the time of publication.
Original report
GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote
NvidiaNews · NVIDIAThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
NVIDIA Robotics
NVIDIA robotics division delivering Isaac simulation and training tools, Jetson edge compute modules, and Omniverse digital twin frameworks for physical AI.
Deci AI (Acquired by NVIDIA)
Israeli deep learning optimization startup acquired by NVIDIA in May 2024 for ~$300M; known for AutoNAC neural architecture search technology.
Nscale
London-based Nscale runs a full-stack AI/GPU cloud platform and on Aug 1, 2026 agreed to acquire Anyscale for $1.65 billion.
Multiply Labs
US robotic biomanufacturing company automating gene-modified cell therapy production with multi-arm robot clusters, cutting costs by up to 74%.
J+P Maschinenbau GmbH
Dresden-area, Germany family firm founded 1992 by Hans-Peter Jensen; builds end-of-line packaging machines such as the KWH tray former for food producers.
MANUS
Eindhoven maker, founded 2014, of EMF-tracked 25-DOF Metagloves used for robot hand teleoperation, embodied-AI data capture and mocap.
Sancho Robotics
Redwood City startup founded 2025 by CMU roboticists, building a 'physical API' that lets general-purpose robots operate machines and link factory workcells.
Western Digital Corporation
US data storage giant founded 1970; supplies industrial-grade SSDs, HDDs, and edge AI storage for robotics, manufacturing, and IoT edge computing.
Revise Robotics
AI-powered robotic systems that autonomously test, refurbish, and resell used electronics starting with laptops at e-waste facilities.
Attraclab
Attraclab is a Saitama, Japan field-robotics integrator building drones, UGVs and USVs with AI and GIS for agriculture, construction and logistics.
Electron Robotics
US robotics software company building ATOM, a physics-accurate sim-to-real orchestration layer for industrial and Physical AI applications.
Fireworks AI
Redwood City AI infra startup (2022) serving open-source LLMs like Kimi K3 via API, used by Cursor, Vercel and Notion.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.