GTC 2026 was not a product launch. It was a declaration of intent.
Jensen Huang took the stage and did not hold back. New chips, new robots, new software, and a roadmap that stretches to 2028. Here are the 10 takeaways that actually matter, from the silicon that just reset the economics of AI to the quiet moves that will reshape factories, cars, and cities over the next decade. LFG!
The Blackwell era is over. Vera Rubin is in full production and it is not an incremental update. 5x better inference performance. 10x reduction in token costs for trillion-parameter models. Seven new chips already shipping. The economic baseline for every data center on the planet just got reset overnight.
Jensen did something unusual this week. He showed you 2027 and 2028 at the same time.
Vera Ultra lands in H2 2027. Feynman follows in 2028 on TSMC's 1.6nm process with silicon photonics delivering 10x bandwidth improvements over current interconnects.
When you can see three generations ahead, switching to a competitor stops making sense. That is exactly the point.
NemoClaw is the enterprise version of OpenClaw, the viral open-source project Jensen called the operating system for intelligent computers.
It manages sub-agents, runs complex multi-step workflows, and sits on top of NVIDIA hardware.
CUDA took over AI training. NemoClaw is the play to take over everything that runs on top of it.NVIDIA Wants to Own the Agent Layer 🤖
NemoClaw is the enterprise version of OpenClaw, the viral open-source project Jensen called the operating system for intelligent computers.
It manages sub-agents, runs complex multi-step workflows, and sits on top of NVIDIA hardware.
CUDA took over AI training. NemoClaw is the play to take over everything that runs on top of it.
Jensen officially retired the term data center this week. They are AI Factories now.
The product is no longer stored data. It is tokens. NVIDIA introduced Dynamo to manage gigawatt-scale facilities and DSX for digital twin optimisation.
The new performance metric is tokens per watt. Everything else is legacy thinking.
GR00T N2 is NVIDIA's foundation model for humanoid robots. It completes unfamiliar tasks twice as often as existing models.
The clever bit is how they trained it. By turning the robotics data problem into a compute problem, they use simulation and synthetic data to train generalised skills in virtual worlds before touching real hardware.
Physical AI just got its ImageNet moment.
Uber will launch NVIDIA-powered robotaxis in Los Angeles by 2027 using the DRIVE Hyperion platform.
Nissan, BYD, and Geely are also on board. The Thor chip is becoming the Level 4 autonomy standard.
Autonomous mobility just crossed from R&D into a commercial industry. Quietly, this week.
NVIDIA stepped outside the data center for the first time in a meaningful way.
The N1X is an ARM-based chip built with MediaTek for the AI PC market. 20 custom cores, integrated GPU matching an RTX 5070, runs sensitive enterprise workloads locally.
Your next workstation might not need the cloud at all
NVIDIA and Grok are integrating LPUs directly into the Vera Rubin architecture.
The result is a 35x performance improvement for ultra-low latency inference.
For agentic systems that need deterministic, real-time responses at trillion-parameter scale, this is the only game in town.
FANUC, ABB, and Foxconn are all embedding NVIDIA's Omniverse and Isaac libraries into their production workflows.
Foxconn is literally simulating its own Blackwell production line in a digital twin before physical implementation.
NVIDIA is not just supplying chips to manufacturers anymore. It is becoming part of how they design everything.
T-Mobile and Nokia are piloting Blackwell-based servers at network sites to turn 5G into distributed edge AI infrastructure.
Heavy compute gets offloaded to the nearest edge location in real time.
City Operations Agents managing live traffic and public safety are no longer science fiction. The infrastructure for them is being built right now.
Building something onchain?
Let’s talk. TMB Labs is now offering full-stack growth support for blockchain, AI and social app projects.
Partnerships, strategy, content, socials, and more 👇🏽
GTC 2026 was the clearest signal yet that NVIDIA is not a chip company anymore.
It is building the operating system for the physical and digital world. Chips, agents, robots, factories, cars, cities, telecoms. All running on NVIDIA infrastructure, all optimised by NVIDIA software.
The most important thing Jensen said this week was not about a product. It was about direction. We are not moving from training to inference. We are moving from inference to action.
The age of AI that thinks is giving way to the age of AI that does.
And that's it for today! Thanks for reading ♥️
Explore all our social links on our website: https://link3.to/trustmebroshow
Dive in and connect with us!
Your go-to source for AI, Blockchain, and Big Tech. News, creators onchain, and deep dives into the tech shaping our future.
GTC 2026 was not a product launch. It was a declaration of intent.
Jensen Huang took the stage and did not hold back. New chips, new robots, new software, and a roadmap that stretches to 2028. Here are the 10 takeaways that actually matter, from the silicon that just reset the economics of AI to the quiet moves that will reshape factories, cars, and cities over the next decade. LFG!
The Blackwell era is over. Vera Rubin is in full production and it is not an incremental update. 5x better inference performance. 10x reduction in token costs for trillion-parameter models. Seven new chips already shipping. The economic baseline for every data center on the planet just got reset overnight.
Jensen did something unusual this week. He showed you 2027 and 2028 at the same time.
Vera Ultra lands in H2 2027. Feynman follows in 2028 on TSMC's 1.6nm process with silicon photonics delivering 10x bandwidth improvements over current interconnects.
When you can see three generations ahead, switching to a competitor stops making sense. That is exactly the point.
NemoClaw is the enterprise version of OpenClaw, the viral open-source project Jensen called the operating system for intelligent computers.
It manages sub-agents, runs complex multi-step workflows, and sits on top of NVIDIA hardware.
CUDA took over AI training. NemoClaw is the play to take over everything that runs on top of it.NVIDIA Wants to Own the Agent Layer 🤖
NemoClaw is the enterprise version of OpenClaw, the viral open-source project Jensen called the operating system for intelligent computers.
It manages sub-agents, runs complex multi-step workflows, and sits on top of NVIDIA hardware.
CUDA took over AI training. NemoClaw is the play to take over everything that runs on top of it.
Jensen officially retired the term data center this week. They are AI Factories now.
The product is no longer stored data. It is tokens. NVIDIA introduced Dynamo to manage gigawatt-scale facilities and DSX for digital twin optimisation.
The new performance metric is tokens per watt. Everything else is legacy thinking.
GR00T N2 is NVIDIA's foundation model for humanoid robots. It completes unfamiliar tasks twice as often as existing models.
The clever bit is how they trained it. By turning the robotics data problem into a compute problem, they use simulation and synthetic data to train generalised skills in virtual worlds before touching real hardware.
Physical AI just got its ImageNet moment.
Uber will launch NVIDIA-powered robotaxis in Los Angeles by 2027 using the DRIVE Hyperion platform.
Nissan, BYD, and Geely are also on board. The Thor chip is becoming the Level 4 autonomy standard.
Autonomous mobility just crossed from R&D into a commercial industry. Quietly, this week.
NVIDIA stepped outside the data center for the first time in a meaningful way.
The N1X is an ARM-based chip built with MediaTek for the AI PC market. 20 custom cores, integrated GPU matching an RTX 5070, runs sensitive enterprise workloads locally.
Your next workstation might not need the cloud at all
NVIDIA and Grok are integrating LPUs directly into the Vera Rubin architecture.
The result is a 35x performance improvement for ultra-low latency inference.
For agentic systems that need deterministic, real-time responses at trillion-parameter scale, this is the only game in town.
FANUC, ABB, and Foxconn are all embedding NVIDIA's Omniverse and Isaac libraries into their production workflows.
Foxconn is literally simulating its own Blackwell production line in a digital twin before physical implementation.
NVIDIA is not just supplying chips to manufacturers anymore. It is becoming part of how they design everything.
T-Mobile and Nokia are piloting Blackwell-based servers at network sites to turn 5G into distributed edge AI infrastructure.
Heavy compute gets offloaded to the nearest edge location in real time.
City Operations Agents managing live traffic and public safety are no longer science fiction. The infrastructure for them is being built right now.
Building something onchain?
Let’s talk. TMB Labs is now offering full-stack growth support for blockchain, AI and social app projects.
Partnerships, strategy, content, socials, and more 👇🏽
GTC 2026 was the clearest signal yet that NVIDIA is not a chip company anymore.
It is building the operating system for the physical and digital world. Chips, agents, robots, factories, cars, cities, telecoms. All running on NVIDIA infrastructure, all optimised by NVIDIA software.
The most important thing Jensen said this week was not about a product. It was about direction. We are not moving from training to inference. We are moving from inference to action.
The age of AI that thinks is giving way to the age of AI that does.
And that's it for today! Thanks for reading ♥️
Explore all our social links on our website: https://link3.to/trustmebroshow
Dive in and connect with us!
Your go-to source for AI, Blockchain, and Big Tech. News, creators onchain, and deep dives into the tech shaping our future.
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I just dropped a new episode of Unlocking the Future. Jensen Huang took the stage at GTC 2026 and quietly rewrote the rules for every data center, factory, car, and city on the planet. New chips. New robots. New operating system for AI agents. A roadmap nobody else can match. NVIDIA is not a chip company anymore. And that changes everything. Full episode below https://pods.media/trust-me-bro/nvidias-gtc-the-10-key-takeaways
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I just dropped a new episode of Unlocking the Future. Jensen Huang took the stage at GTC 2026 and quietly rewrote the rules for every data center, factory, car, and city on the planet. New chips. New robots. New operating system for AI agents. A roadmap nobody else can match. NVIDIA is not a chip company anymore. And that changes everything. Full episode below https://pods.media/trust-me-bro/nvidias-gtc-the-10-key-takeaways