Thanks for joining us at Build, Jensen! Grateful for the deep partnership with NVIDIA across cloud and edge. [Video] NVIDIA CEO Jensen Huang joined Microsoft CEO Satya Nadella at Microsoft Build to announce an expanded partnership between the two companies, spanning AI development from Windows devices to large-scale AI factories. The collaboration aims to build agentic AI systems that operate across cloud and edge computing environments. Thanks for joining us at Build, Jensen Grateful for the deep partnership with NVIDIA across cloud and edge. The agentic AI era is here. From Taipei, Jensen Huang https://www.linkedin.com/in/jenhsunhuang?trk=public post reshare-text joined Satya Nadella https://www.linkedin.com/in/satyanadella?trk=public post reshare-text at MSBuild https://www.linkedin.com/signup/cold-join?session redirect=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2Fmsbuild&trk=public post reshare-text to show how NVIDIA and Microsoft https://www.linkedin.com/company/microsoft?trk=public post reshare-text are building it together, from Windows devices to AI factories at scale. ▶️ Watch the conversation: https://nvda.ws/4fWZKiM https://nvda.ws/4fWZKiM?trk=public post reshare-text 🔗 Read the recap blog: https://nvda.ws/4uQ1Buy https://nvda.ws/4uQ1Buy?trk=public post reshare-text Microsoft’s partial pullback isn’t enough: Nothing short of full divestment from Israel’s military is acceptable. Microsoft is still powering Israel’s war machine: The company is still fueling the tools of warfare that enable Israel's slaughter of Palestinians Microsoft could be the first: No major tech company has fully divested from Israel's military. Microsoft can lead by being the first. The AI arms race has to stop: Microsoft can be the company that breaks from the pack — and sets a new standard for the industry. Corporate complicity in genocide is a crime: The UN and legal experts call for prosecution of executives enabling genocide — Microsoft’s leadership is on notice.stop supporting genocide of children and adults. This will be a wonderful collaboration, a fusion of technologies. We eagerly await to see what amazing results will emerge from this combination. Christer Othman https://se.linkedin.com/in/christerothman?trk=public post comment actor-name 43m I find it encouraging to see more focus on the enterprise side of AI. The real challenge is often not the technology itself, but creating the structure, governance and leadership needed to make it deliver value at scale. Here is what I can contribute to the agentic AI era. I build AI systems that use geometry and dimensional dynamics as the control layer above the model. Instead of relying on statistical prediction alone, I use geometric boundaries, minimal surfaces, and dimensional state transitions to keep agents stable, focused, and deterministic. This creates reasoning paths that do not drift and do not collapse under long context or multi agent load. I design directive logic, truth table routing, and manifold based state flow so that many specialized agents can coordinate with predictable behavior. Geometry becomes the data model. Dimensional dynamics becomes the state engine. The result is an AI system that behaves like a structured compute pipeline instead of an unbounded text generator. Agentic AI feels like the moment where software stops being just tools and starts behaving like real systems that can think and act across workflows. Excited to see Microsoft and NVIDIA pushing this from devices all the way to large-scale AI infrastructure. Satya Nadella https://www.linkedin.com/in/satyanadella?trk=public post comment-text James Kass https://www.linkedin.com/in/james-kass-26a42a105?trk=public post comment actor-name 1h Strong partnerships like this are what make the AI shift feel less theoretical and more operational. The cloud-to-edge angle is especially important. It is where companies will start to see AI move from demos into real workflows, infrastructure, and outcomes. Exciting to see Microsoft and NVIDIA pushing that forward together. Quadrant Technologies https://www.linkedin.com/company/quadranttechnologies-1?trk=public post comment-text More models = more dashboards. More dashboards = more complex financial layers. My startup Credlier unifies AI credits and tokens across ALL Al providers into a single AI wallet that automatically tracks and manages usage. With 35-50% savings as usage scales. Smart routing ensures the cheapest provider for each request. Credlier.com http://Credlier.com?trk=public post comment-text Astrid Fred https://uk.linkedin.com/in/astrid-fred-65284442?trk=public post comment actor-name 1h The alliance between Microsoft and NVIDIA, perfectly illustrated here by Satya Nadella and Jensen Huang, is the ultimate masterclass in scaling through infrastructure. What they are achieving at a global level is exactly what every founder should aim to replicate within their own business: moving away from manual execution toward a fully automated, repeatable system. A true "Growth Architect" doesn't just chase trends; they integrate these computational and AI capabilities to transform their content and operations into high-leverage, scalable assets. If you aren't building your systems to be quantifiable, transferable, and valuable, you aren't building a company—you’re building a job. For those serious about building and tracking these digital growth assets, staying aligned with market signals is non-negotiable: Market analysis & valuation signals: https://lnkd.in/dueWPKYN https://lnkd.in/dueWPKYN?trk=public post comment-text Estimate your company’s value in real time: https://lnkd.in/dFMKRFhK https://lnkd.in/dFMKRFhK?trk=public post comment-text SaaS, startups, and digital assets available for acquisition: https://lnkd.in/dueWPKYN https://lnkd.in/dueWPKYN?trk=public post comment-text Maximize your exit with a certified M&A broker: https://lnkd.in/dSMWi5uR https://lnkd.in/dSMWi5uR?trk=public post comment-text Interesting isn’t it AI. Generative AI. Copilots. Agentic AI. The names keep changing. Has the infrastructure become auditable, or are we still being asked to trust systems that cannot explain their own conclusions? 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