We are just connecting the dots.
Sharing news, insights and perspectives on Artificial Intelligence
Jensen didn’t just talk about the future—he showed us the AI-powered present.
The token economy, GPU breakthroughs, AI agents, and digital twins are already reshaping our world.
Which innovation excites you the most? 🚀
Comment below! 👇
Jensen didn’t just talk about the future—he showed us the AI-powered present.
The token economy, GPU breakthroughs, AI agents, and digital twins are already reshaping our world.
Which innovation excites you the most? 🚀
Comment below! 👇
Every token, every pixel, every prediction—it’s all powered by NVIDIA’s AI stack.
From autonomous cars to digital twins to AI agents, NVIDIA isn’t building the future.
They’re scaling the present.
Every token, every pixel, every prediction—it’s all powered by NVIDIA’s AI stack.
From autonomous cars to digital twins to AI agents, NVIDIA isn’t building the future.
They’re scaling the present.
Imagine a cloud-connected AI supercomputer on your desk:
Powered by GB110 chips.
Runs the full NVIDIA AI stack.
Supports generative AI natively.
AI computing isn’t exclusive to data centers anymore—it’s personal.
Imagine a cloud-connected AI supercomputer on your desk:
Powered by GB110 chips.
Runs the full NVIDIA AI stack.
Supports generative AI natively.
AI computing isn’t exclusive to data centers anymore—it’s personal.
The ChatGPT moment for humanoid robots is near.
NVIDIA’s Isaac Groot uses:
Synthetic motion generation.
Imitation learning from human demonstrations.
Physics-based AI training.
The robotics industry is about to explode.
The ChatGPT moment for humanoid robots is near.
NVIDIA’s Isaac Groot uses:
Synthetic motion generation.
Imitation learning from human demonstrations.
Physics-based AI training.
The robotics industry is about to explode.
AVs require NVIDIA’s AI trifecta:
DGX: Train AI models.
Omniverse: Test & simulate.
Drive AGX: AI supercomputer in the car.
Synthetic data scales training from thousands of drives to billions of miles.
AVs require NVIDIA’s AI trifecta:
DGX: Train AI models.
Omniverse: Test & simulate.
Drive AGX: AI supercomputer in the car.
Synthetic data scales training from thousands of drives to billions of miles.
AI agents are the next step:
NIMs: Pre-packaged AI microservices.
NEMO: Digital onboarding for AI agents.
Blueprints: Custom AI models for enterprise use.
Your IT department won’t just manage software—they’ll manage AI employees.
AI agents are the next step:
NIMs: Pre-packaged AI microservices.
NEMO: Digital onboarding for AI agents.
Blueprints: Custom AI models for enterprise use.
Your IT department won’t just manage software—they’ll manage AI employees.
Omniverse+Cosmos=A physics-grounded multiverse generator.
It creates endless synthetic scenarios, allowing AI to:
Learn real-world physics.
Simulate complex environments.
Make grounded, reliable predictions.
The digital twin revolution is here.
Omniverse+Cosmos=A physics-grounded multiverse generator.
It creates endless synthetic scenarios, allowing AI to:
Learn real-world physics.
Simulate complex environments.
Make grounded, reliable predictions.
The digital twin revolution is here.
NVIDIA Cosmos is a world foundation model.
It’s trained on 20 million hours of physical interactions—gravity, inertia, object permanence.
This isn’t just for simulation—it’s the foundation for robotics, AVs, and synthetic data generation.
NVIDIA Cosmos is a world foundation model.
It’s trained on 20 million hours of physical interactions—gravity, inertia, object permanence.
This isn’t just for simulation—it’s the foundation for robotics, AVs, and synthetic data generation.
AI started in the cloud, but now it’s coming home.
With Windows WSL2 and NVIDIA GPUs, your PC becomes an AI powerhouse.
Generative APIs will power everything—language, sound, and 3D rendering—right from your desktop.
AI started in the cloud, but now it’s coming home.
With Windows WSL2 and NVIDIA GPUs, your PC becomes an AI powerhouse.
Generative APIs will power everything—language, sound, and 3D rendering—right from your desktop.
Three scaling laws drive AI:
Pre-training Scaling: More data, bigger models, more compute.
Post-training Scaling: Fine-tuned with reinforcement learning.
Test-time Scaling: Real-time reasoning
The result? Smarter AI at every stage.
Three scaling laws drive AI:
Pre-training Scaling: More data, bigger models, more compute.
Post-training Scaling: Fine-tuned with reinforcement learning.
Test-time Scaling: Real-time reasoning
The result? Smarter AI at every stage.
The RTX 50 series isn’t just a GPU—it’s a computational marvel:
92 billion transistors
4 petaflops of AI performance
Neural material shading
AI doesn’t just use these GPUs—it powers them.
This is the AI-GPU feedback loop in action.
The RTX 50 series isn’t just a GPU—it’s a computational marvel:
92 billion transistors
4 petaflops of AI performance
Neural material shading
AI doesn’t just use these GPUs—it powers them.
This is the AI-GPU feedback loop in action.
Every token, every pixel, every prediction—it’s all powered by NVIDIA’s AI stack.
From autonomous cars to digital twins to AI agents, NVIDIA isn’t building the future.
They’re scaling the present.
Every token, every pixel, every prediction—it’s all powered by NVIDIA’s AI stack.
From autonomous cars to digital twins to AI agents, NVIDIA isn’t building the future.
They’re scaling the present.
openai.com/index/early-...
openai.com/index/early-...