New NVIDIA AI Updates are INSANE!

Nvidia just dropped something massive. And I mean massive. They didn't just release one AI model. They open sourced entire AI systems for robots, self-driving cars, healthcare, and agents. This is one of the biggest AI releases of the year. And almost nobody is talking about how crazy this really is. By the end of this video, you'll understand why this changes everything for anyone building with AI. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Let me break down what Nvidia actually announced. First up, Nvidia

Neatron. This is their agentic AI family. And no, these aren't chat bots. These are action-taking AI agents. real agents that can hear, see, search, and act safely. Let me explain what that means. Neyotron speech is insane. It does realtime speech recognition with live captions at super low latency. And get this, it's 10 times faster than competitors. 10 times Bosch is already using this for voice controlled vehicles. Think about that. Your car understanding you instantly. No delay, no errors. This also works for live assistants, call centers, and accessibility tech. Speech AI just got way better. Then there's Neatron rag. This is search plus reasoning. It uses multimodal embeddings. That means vision and language together. So it can search through documents way better than before. And it works in multiple languages. Companies like IBM, Cadence, and Service Now are already using this. This is the kind of AI that actually makes businesses run faster. And here's where it gets important. Neatron Safety. This does content moderation, detects private information, and works across tons of languages. Crowd Strike, Forinet, and Cohesity are using this right now. Why does this matter? Because AI agents now have the full package. They can hear, they can see, they can search, and they can act safely. This is how you build real autonomous systems that actually work in the real world. Now, let's talk about physical AI. This

is where things get crazy. Nvidia released something called Cosmos. These are world models, AI that understands physical reality. It can simulate environments and predict what happens next. Think about how powerful that is. Cosmos Reason 2 is a leaderboard topping reasoning model. It helps robots understand space, motion, and context. Your robot knows where things are and how they move. Then there's Cosmos transfer 2. 5 and Cosmos predict 2. 5. These generate synthetic video data. What does that mean? You can train robots without any real world risk. Faster, cheaper, safer. You're basically creating a virtual world to teach robots before they touch anything real. But

wait, there's more. Nvidia also dropped Isac Gvoro T. This is for humanoid robots, full body control, vision, language, action all together. Companies like Franco Robotics, Neuroobotics, and Humanoid are already using this. Robots can now learn in simulation and then deploy in real life and they can scale safely. We're not talking about robots in labs anymore. We're factories, warehouses, and homes. All right, here's something really cool. If you're building a business and you want to use AI tools like these Nvidia updates to automate everything and scale faster, you need to check out the AI profit boardroom. This is the best place to scale your business, get more customers, and save hundreds of hours with AI automation. We cover exactly how to implement cuttingedge AI like Nvidia's tools into your actual workflows. Whether you're using AI for robotics, agents, or just automating your marketing, we show you the exact steps. Link is in the description. And trust me, you don't want to miss this. Now, let's talk

self-driving cars. Nvidia just released the Alpio, and this is a gamecher for autonomous vehicles. Alpo1 is a reasoning based AV model. What does that mean? Vehicles can now explain their actions. They think like a human driver. Imagine your car telling you why it's slowing down or changing lanes. That's what this does. Then there's Alpasim. This is open- source simulation for closed loop training. You can train self-driving systems on rare edge cases without putting anyone at risk. And NVIDIA released a physical AI driving data set with over 1700 hours of driving data. Multiple geographies, extreme conditions, rain, snow, night driving. This is gold for any startup building autonomous vehicles. You now have access to data that would take years to collect. But here's where Nvidia really

shocks me. Healthcare and biomedical AI. This part is underrated, but it's huge. Nvidia released Clara models. Let me list these out because they're insane. La Proena helps you design precise proteins. Rayin V2 creates manufacturable AI drugs. K predicts drug safety. And RNA Pro predicts 3D RNA structure. Think about what this means. You can now use AI to design drugs faster, safer, and cheaper. And the data set they released is wild. 455,000 synthetic protein structures. This enables faster drug discovery. Personalized medicine becomes realistic. This could cut years off drug development. We're talking about saving lives faster. And it's all open source.

Anyone can use this. Now, here's the part that blew my mind. The data drop. Nvidia opensourced 10 trillion language tokens, 500,000 robotics trajectories, 455,000 protein structures, and 100 terabytes of vehicle sensor data. This is one of the largest open AI data releases ever. And this isn't just for fun. Real companies are already using this. Bosch, Salesforce, Service Now, Palanteer, Uber, Crowdstrike, Forinet, Hitachi. These aren't small startups. These are massive companies deploying this in production right now. This isn't experimental AI. So, how can you actually use this? Where do you start?

Nvidia made it super easy. You can access everything on GitHub, hugging face, build. envidia. com, and through Nvidia NIM microservices. You can deploy on edge devices in the cloud or on premise. It works on Nvidia accelerated infrastructure. This is perfect for startups, enterprises, and researchers. If you're building anything with AI, this is your foundation. Let me tell you why this matters so much. NVIDIA didn't just release models. They released an entire ecosystem. They covered agents, robots, self-driving cars, and healthcare. They gave you the models, the data, the tools, and the infrastructure. Everything you need to build real world AI, not chat bots, not toys, real systems that solve real problems. Think about what you can build now. You can create an AI agent that talks to customers, searches your database, and takes action. You can train a robot in simulation, and deploy it in your warehouse. You can build a self-driving system with access to massive data sets. All of this is possible right now, and it's all open source. This is Nvidia positioning itself as the backbone of global AI infrastructure. They're not just selling GPUs anymore. They're building the entire stack from hardware to software to data. And they're making it accessible to everyone. This is how you win in AI. You make it easy for developers to build on your platform. And Nvidia just did that at a massive scale. Here's what you need to do next. Go check out these resources. Look at the models on GitHub and hugging face. Play around with build. vidia. com. Try out the nm microservices. See what you can build. The barrier to entry for building real AI just dropped to almost zero. If you've been waiting for the right time to start building with AI, this is it. If you're building a business and you want to use AI tools like these Nvidia updates to automate everything and scale faster, you need to check out the AI profit boardroom. This is the best place to scale your business, get more customers, and save hundreds of hours with AI automation. We cover exactly how to implement cuttingedge AI like Nvidia's tools into your actual workflows. Whether you're using AI for robotics, agents, or just automating your marketing, we show you the exact steps. Link is in the description. Trust me, you don't want to miss this. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab links in the comments and description. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. We break down every major AI update like this Nvidia release and show you exactly how to use it in your business. No fluff, just practical steps you can implement today. Thanks for watching here. I'll see you in the next one.