NVIDIA Pushes "Physical AI" Onto the Real World, Sidestepping Data Bottlenecks

NVIDIA's GTC 2026 focuses on 'Physical AI' for robots, using new tools like Cosmos and Isaac GR00T to train them with data from computers, not just the real world.

#PhysicalAI, #NVIDIAGTC, #Robotics, #AI, #EmbodiedAI

https://newsletter.tf/nvidia-physical-ai-robots-gtc-2026/

NVIDIA is making robots smarter by training them with computer-generated data, a new way to help them work in the real world.

#PhysicalAI, #NVIDIAGTC, #Robotics, #AI, #EmbodiedAI
https://newsletter.tf/nvidia-physical-ai-robots-gtc-2026/

NVIDIA GTC 2026: Physical AI Moves Robots From Labs to Real World

NVIDIA's GTC 2026 focuses on 'Physical AI' for robots, using new tools like Cosmos and Isaac GR00T to train them with data from computers, not just the real world.

NewsletterTF

NVIDIA Pushes "Physical AI" Onto the Real World, Sidestepping Data Bottlenecks

NVIDIA's GTC 2026 focuses on 'Physical AI' for robots, using new tools like Cosmos and Isaac GR00T to train them with data from computers, not just the real world.

#PhysicalAI, #NVIDIAGTC, #Robotics, #AI, #EmbodiedAI

https://newsletter.tf/nvidia-physical-ai-robots-gtc-2026/

NVIDIA is making robots smarter by training them with computer-generated data, a new way to help them work in the real world.

#PhysicalAI, #NVIDIAGTC, #Robotics, #AI, #EmbodiedAI
https://newsletter.tf/nvidia-physical-ai-robots-gtc-2026/

NVIDIA GTC 2026: Physical AI Moves Robots From Labs to Real World

NVIDIA's GTC 2026 focuses on 'Physical AI' for robots, using new tools like Cosmos and Isaac GR00T to train them with data from computers, not just the real world.

NewsletterTF

One theme from #NVIDIAGTC 2026 stayed with me: #PhysicalAI.

๐‘๐จ๐›๐จ๐ญ๐ข๐œ๐ฌ ๐ข๐ฌ ๐ง๐จ ๐ฅ๐จ๐ง๐ ๐ž๐ซ ๐ก๐š๐ซ๐๐ฐ๐š๐ซ๐ž-๐Ÿ๐ข๐ซ๐ฌ๐ญ. ๐ˆ๐ญ ๐ข๐ฌ ๐€๐ˆ ๐š๐ง๐ ๐ฌ๐จ๐Ÿ๐ญ๐ฐ๐š๐ซ๐ž-๐๐ž๐Ÿ๐ข๐ง๐ž๐ ๐›๐ž๐ก๐š๐ฏ๐ข๐จ๐ซ.

https://www.linkedin.com/posts/shishs_nvidiagtc-physicalai-robots-activity-7442995460715278336-mosL

#robotics #AI

Exciting update from the recent Nvidia GTCโ€™26: Cytrence Kiwi delivered a smooth and reliable experience throughout the DGX Spark workshop.
Behind the scenes, the Nvidia DGX Spark workshop team conducted a series of careful evaluations, ultimately selecting Kiwi for its clean, near-agnostic setup.
Weโ€™re honored that Kiwiโ€™s simplicity has made a meaningful difference in such a hands-on workshop setting!
#DGXSpark #NvidiaGTC #AIComputing #CytrenceKiwi
Tried out #meshcore in #sanjose while at #nvidiagtc .. love the coverage in #siliconvalley

Just shared a few thoughts from #NVIDIAGTC after spending time with the Galileo #AI team.

Agents are starting to act, not just respond.
OpenClaw was a wake up call. Why a control layer is becoming essential: https://www.linkedin.com/posts/shishs_agent-control-the-open-source-control-plane-activity-7441617992448352256-RKdI

#AIAgents #AgenticAI

Agent Control โ€” The Open-Source Control Plane for AI Agents | ShiSh S.

Walking the floor at #NVIDIAGTC last week, the conversation was no longer just about #chatbots; itโ€™s about #AIAgents that do things. The Galileo (a Microsoft for Startups Pegasus partner) team showed me the "#OpenClaw" post-mortem, and itโ€™s a sobering reminder: when an agent starts reasoning across workflows and hitting "publish" in the real world, "safe prompts" aren't enough. You need a steering wheel. (https://lnkd.in/gnqZGcmb) Thatโ€™s why their move into ๐€๐ ๐ž๐ง๐ญ ๐‚๐จ๐ง๐ญ๐ซ๐จ๐ฅ (https://agentcontrol.dev/) is so timely. It feels like the early days of Cloud infrastructure all over again: we need a control plane to define policies across tools and workflows. If youโ€™re building in this space, you have to ask: Who is observing the agent? Who is guiding the decisions? Where are the guardrails? ๐‘บ๐’„๐’‚๐’๐’† ๐’๐’๐’๐’š ๐’‰๐’‚๐’‘๐’‘๐’†๐’๐’” ๐’˜๐’‰๐’†๐’ ๐’š๐’๐’– ๐’‰๐’‚๐’—๐’† ๐’„๐’๐’๐’•๐’“๐’๐’. Yash Sheth, Heena Purohit, Hans Yang, Tom Davis, Jared Prins, Deepak Jose, Kevin Hague, Matt L. Barker, Ph.D., Faiz Sherman, Jim Andrew, Maria Rigatto

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Mercedes MB. Drive Assist Pro Level 2++ im CLA ausprobiert

Mercedes und Nvidia bieten im CLA das Assistenzsystem MB. Drive Assist Pro nach โ€žLevel 2++โ€œ an. ComputerBase war zur GTC auf Probefahrt.

ComputerBase
#gtc26 #gtc26 #stackit #nvidiagtc #ai #cloud #hyperscaler #digitalsovereignty #europeancloud #stackit #schwarzgruppe #schwarzdigits | Giovanni Coppa

๐Ÿš€ STACKIT NVIDIA #GTC26 At one thing became clear: AI is no longer just a technology wave it is an infrastructure race. And that has direct implications for Europe. โžก๏ธ What this means for hyperscalers We are entering the decade of AI-native infrastructure: - Inference at scale becomes core - Data locality and compliance become critical - Control over the full stack becomes a competitive advantage The hyperscaler model is evolving from global scale alone to sovereign, specialized, and regionally anchored cloud ecosystems. STACKIT is building exactly for this next phase. As a European hyperscaler, our focus is clear: โœ”๏ธ Sovereign cloud infrastructure aligned with European regulation โœ”๏ธ Trusted environment for sensitive data and AI workloads โœ”๏ธ Scalable platform for enterprise AI adoption โœ”๏ธ Independence in a rapidly consolidating global market Because in the AI era, infrastructure equals strategic autonomy. Europe has the opportunity โ€” and responsibility โ€” to shape its own digital backbone. #GTC26 reinforced our conviction: The future of AI in Europe will not just be built on models, but on who provides the infrastructure they run on. https://lnkd.in/du4Hmp3b #STACKIT #NVIDIAGTC #AI #Cloud #Hyperscaler #DigitalSovereignty #EuropeanCloud #STACKIT #SCHWARZGRUPPE #SCHWARZDIGITS Schwarz Digits

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