What happens when AI infrastructure scales from thousands of GPUs to nearly a million? @googlecloud and @nvidia are preparing for the next phase of AI factories. Google Cloud’s Vera Rubin-powered A5X infrastructure is scheduled for general availability in November 2026, with plans to expand into Europe and potentially scale to 960,000 Rubin GPUs across multiple sites. This is not simply about building larger clusters. The infrastructure is being designed for the workloads now shaping the AI economy: agentic AI, reinforcement learning, enterprise automation and increasingly complex inference. Early use cases already include David Silver’s Ineffable Intelligence and WPP’s agentic creative workflows. The bigger question is how we translate this extraordinary computing scale into measurable economic value, while addressing power, cooling, security, governance and Europe’s continuing challenge around technological sovereignty. The AI race is increasingly becoming an AI infrastructure race. intelligenthq.com/google-clo… #NVIDIA #GoogleCloud #VeraRubin #AI #ArtificialIntelligence #AIInfrastructure #AgenticAI #AIFactory #GTCBerlin CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Live from #NVIDIAGTC Berlin 2026. Jensen Huang presenting NVIDIA's vision of one CUDA architecture serving multiple markets and industries. it illustrates NVIDIA's full-stack AI factory ecosystem, connecting cloud service providers (AWS, Google Cloud, Microsoft Azure), AI labs (OpenAI, Anthropic, Google Gemini), AI-native companies, startups, hardware manufacturers, and enterprises across sectors including healthcare, energy, manufacturing and financial services. A powerful illustration of how AI infrastructure extends far beyond individual models, bringing together computing, hardware, software and an increasingly diverse ecosystem of partners. How do we translate this computing power into real economic and industrial value? #NVIDIA #GTCBerlin #AI #CUDA CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Live from #NVIDIAGTC Berlin 2026. @JensenHuang highlighting the rapid growth of agentic AI and what it means for the next generation of AI infrastructure. According to OpenRouter data presented during the keynote, AI agents are consuming 34x more tokens than at the start of February 2026, reaching 132.6 trillion weekly tokens in early October. As Jensen's second slide illustrates: "AI Factories Produce Intelligence. Agents Put Intelligence to Work." AI agents bring together models, knowledge, tools and execution environments to perform increasingly complex tasks, generating demand for more computing power and intelligence. We are moving beyond AI models that simply respond to questions towards systems that can execute workflows and deliver outcomes. The real challenge is turning this growing intelligence into measurable productivity and economic value. #NVIDIA #GTCBerlin #AgenticAI CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Live from #NVIDIAGTC Berlin 2026. Jensen Huang highlighting NVIDIA OpenShell and its growing ecosystem of over 100 partners advancing AI agent safety. NVIDIA OpenShell is an open-source runtime designed to help AI agents operate within secure, isolated environments, with controls over what they can access and execute. The ecosystem includes major technology and enterprise players such as @Microsoft , @googlecloud , @awscloud , @OpenAI , @AnthropicAI , @Cisco , @CrowdStrike , @IBM , @Meta , @SAP and @ServiceNow . As AI agents move beyond generating content to executing tasks, accessing enterprise systems and taking autonomous actions, security, governance and accountability become critical. The next phase of agentic AI is not just about building more powerful agents. It is about ensuring they can operate safely, securely and at enterprise scale. Who controls what an AI agent is allowed to do? #NVIDIA #GTCBerlin #OpenShell #AgenticAI #AISecurity CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends

Live from #NVIDIAGTC Berlin 2026. @JensenHuang presenting NVIDIA Isaac, the company's platform for advancing physical AI and robotics, bringing intelligence from digital environments into the physical world. The ecosystem brings together NVIDIA's robotics technologies, including Isaac OS, Jetson Thor onboard computing and the Halos Safety OS, alongside tools such as GR00T, Omniverse and Isaac Lab. This also highlights a growing network of robotics companies, model builders and industrial partners, including ABB Robotics, FANUC, KUKA, Siemens and Yaskawa. We are witnessing the foundations of a new industry, where AI, simulation, accelerated computing and robotics converge to create increasingly intelligent machines!! The big question is how quickly physical AI will move from research and demonstrations into factories, logistics and everyday operations. #NVIDIA #GTCBerlin #PhysicalAI #Robotics #Isaac CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

What happens when the next breakthrough in quantum computing comes not from building a larger quantum computer, but from using classical supercomputing to make quantum systems more reliable? @NVIDIA has announced a major research milestone with a record-scale simulation of a 104-qubit fault-tolerant quantum computing system using Europe's JUPITER exascale supercomputer in Germany. The research validates an approach known as magic state cultivation that could reduce physical qubit requirements by up to 90% compared with previous methods. This is significant because one of quantum computing's biggest limitations is not just computational power. It is reliability. Quantum systems are extremely sensitive to noise and errors. Making them fault-tolerant requires sophisticated error correction and substantial computing resources. By using NVIDIA GH200 GPUs and advanced simulation technologies, researchers can investigate complex quantum architectures before building the physical hardware. We are witnessing an important convergence of three technological infrastructures: Artificial Intelligence and accelerated computing. High-performance and exascale supercomputing. Fault-tolerant quantum computing. These technologies are increasingly becoming interconnected foundations of the next computing economy. The implications could eventually extend across scientific discovery, materials research, pharmaceuticals, energy and advanced industrial systems. But quantum computing's future will depend on more than increasing the number of qubits. It will depend on making quantum computation reliable, scalable and economically practical. Read the full IntelligentHQ analysis: intelligenthq.com/nvidia-ach… #AI #NVIDIA #QuantumComputing #QuantumTechnology #Supercomputing #JUPITER #HPC #AcceleratedComputing #FutureOfComputing #GTCBerlin2026 CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Can Europe become a global leader in AI by building on what it already does best: engineering, manufacturing and industrial innovation? This is one of the most important questions emerging from NVIDIA GTC Berlin 2026. @NVIDIA founder and CEO Jensen Huang and German Chancellor Friedrich Merz are advancing a new vision for Germany's industrial future. Their cooperation focuses on Physical AI, robotics, AI-powered factories and the development of a stronger European industrial AI ecosystem. Germany's manufacturing economy has decades of engineering expertise, specialised industrial data and a powerful Mittelstand of SMEs. But industrial knowledge alone is no longer enough. The next phase of global competitiveness will depend on how countries combine their industrial capabilities with AI infrastructure, accelerated computing, robotics and autonomous systems. NVIDIA is also planning investments in four German companies: Agile Robots, Avelios Medical, Mirelo and Reflex Aerospace. These developments are part of a wider NVIDIA commitment of nearly $10 billion to Europe's AI ecosystem. For Europe, this goes beyond technology investment. It is about industrial sovereignty, economic resilience, workforce transformation and the ability to build and control critical AI capabilities. The question is whether Europe can transform its industrial heritage into a competitive advantage in the emerging AI economy. Read the full Citiesabc analysis: citiesabc.com/jensen-huang-a… #AI #NVIDIA #JensenHuang #Germany #Europe #IndustrialAI #PhysicalAI #Robotics #AISovereignty #AIInfrastructure #GTCBerlin2026 CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

What happens when factories stop being just automated production systems and start becoming intelligent, adaptive environments capable of planning, simulating and optimising their own operations? We are entering the next industrial revolution driven by Physical AI, digital twins and autonomous AI agents. @Siemens and @NVIDIA are demonstrating this transformation at Siemens' Electronics Factory in Erlangen, Germany. The results are significant: - Up to 85% reduction in engineering effort. - Up to 40% faster time-to-market. - Up to 20% savings in production planning costs. Using NVIDIA Cosmos world models, digital twins and AI agents, manufacturers can now simulate production processes, train inspection systems before physical prototypes exist and evaluate operational decisions in virtual environments. This is a fundamental shift. AI is moving beyond generating content and analysing information. It is becoming part of the infrastructure that designs, manages and transforms our physical economy. But the next challenge is not simply building autonomous factories. It is ensuring these systems are reliable, secure, interoperable and accessible to manufacturers of all sizes. The future of industry will increasingly depend on the convergence of AI, robotics, computing infrastructure and human expertise. Read the full Businessabc analysis: businessabc.net/siemens-and-… #AI #NVIDIA #Siemens #PhysicalAI #IndustrialAI #DigitalTwins #AIAgents #Manufacturing #Industry40 #FutureOfIndustry #GTCBerlin2026 CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara