#Nvidia Newton

Simulating and training robots requires a physics-first approach. 🤖 With Newton, the open-source physics simulation engine co-developed by Disney Research, @WaltDisneyImagineering, @GoogleDeepMind and NVIDIA, Disney’s BDX Droid can move through shifting sand and gravel with exceptional precision. Watch to see how Newton is playing a key role in teaching robots how to move, behave, and interact with different objects and materials in the real world. #CES2026

“NVIDIA’s cost per token is the lowest in the world.” — Jensen Huang, Founder & CEO of NVIDIA Token generation cost is a direct result of architecture excellence and extreme co-design, not just compute cost. Lowest cost per token and highest performance per watt are definitive measures of AI economics and the key to unlocking maximum profitability and AI revenue. Visit the link in bio to learn more.

Are you a developer, student, or maker looking for an affordable platform to run some of the most popular #generativeAI models at the edge? Introducing the NVIDIA Jetson Orin Nano Super Developer Kit, a developer kit that delivers up to 67 TOPS of AI performance priced at $249. Existing Orin Nano users can upgrade their JetPack SDK for a “super” boost. Link is in the bio 🔗

This isn’t just cabling. It’s a neural backbone that makes today’s AI possible. 💥 At the heart of NVIDIA’s GB200 system is the NVLink Spine — a mind-bending data grid moving 130 terabytes per second across 72 GPUs, with 5,000 precision-engineered cables. That’s more traffic than the entire internet at its peak. Yes, one rack. 🌐 Nine intelligent switches create a superconductor for AI thought, letting every GPU talk to every other at once — no bottlenecks, no lag, just blistering speed. This is what fuels trillion-parameter models. Not headlines, not hype — cables whispering at light-speed beneath the surface.

NVIDIA’s New $249 AI Beast Just Dropped Meet the Jetson Orin Nano Super Developer Kit — a compact AI powerhouse delivering 67 TOPS of performance, a 1.7x boost from the last-gen. ⚡🧠🤖 For just $249, it brings generative AI to the hands of developers, students, and hobbyists alike. 💻🧑‍💻 Under the hood: NVIDIA Ampere GPU with 1,024 CUDA cores + 32 Tensor Cores 🧮 6-core Arm Cortex-A78AE CPU ⚙️ 8GB LPDDR5 RAM with 102GB/s bandwidth 🚀 It’s made for vision transformers, LLMs, robotics, smart vision, and more — all at the edge. 🦾📡 Bonus: Current Jetson Orin Nano users can upgrade via software. In India, it’s on backorder via Robu.in with shipping expected after Feb 28, 2025. 📦🗓️ The future of AI prototyping is here — smaller, faster, smarter. 🤯💡 Source: Nvidia/YT Follow @calminmotivation for more reels 📈 . . . . #enterpreneur #nvidia #jensenhuang #gpu #innovation #viral #ideas #artificialintelligence #ai #cpu #supercomputer #business #success #ideas #explorepage #fyp

Nvidia’s CEO Jensen Huang just went on Joe Rogan and talked about the future stocks of the nuclear energy revolution

NVIDIA has officially introduced Project Newton — an open-source physics simulator designed to transform the way robots learn to move, think, and interact with the world. Rather than programming every micro-movement, Newton enables robots to learn through highly realistic virtual environments where physics, friction, and motion accurately mirror real-world conditions. This breakthrough allows for dramatically faster development cycles, reduced real-world failures, and more intelligent robotic systems. Developed in collaboration with Google DeepMind and Disney Research, Project Newton runs on NVIDIA GPUs, giving developers the ability to train thousands of robotic simulations simultaneously. In essence, this marks a pivotal leap forward in robotics — where machines are trained extensively in virtual worlds long before they operate in the physical one. Love Technology? Follow @wealthalto_ 🌟 #ai #robotics #technology #innovation #futuretech #machinelearning #technews #automation #digitaltransformation #deeplearning #artificialintelligence #techinnovation #engineering #futureofwork #stem

NVIDIA has to be the leader in this industry…

Nvidia was recently recognized as the world’s most valuable company. But the company was formed in an unexpected place. 31 years ago, Jensen Huang, Chris Malachowsky, and Curtis Priem met at a Denny’s restaurant, where Huang had once worked as a dishwasher and busboy. When Nvidia started in 1993, Huang, along with co-founders Chris Malachowsky and Curtis Priem, began with an idea of creating chips that would enable realistic 3D graphics on personal computers—or graphic processing units, specifically for video games. . . Follow @entrepreneurscom for more videos Follow @entrepreneurscom for more videos Follow @entrepreneurscom for more videos . . . #entrepreneurship #motivation #jensenhuang

Mythbusters x NVIDIA: GPU Power Unleashed ⚡🎬 Adam Savage and Jamie Hyneman, the legendary Mythbusters, took the stage at an NVIDIA conference to showcase the raw power of GPU computing. 🚀 Through hands-on experiments, they demonstrated how GPUs process massive amounts of data at lightning speed—transforming industries from gaming to AI. If you’ve ever wondered how GPU computing works, this was the ultimate crash course! 🎥 Who else remembers this epic moment? 🔥👇 For more insights on wealth, business, and success, follow @calminmotivation and take your journey to the next level ✴️!#nvidia #jensenhuang #cpu #gpu #innovation #thinkbig #enterpreneurship #viral #explorepage

Share this with someone who is still obsessed with beating their competitors. Nvidia does not wake up thinking about how to take customers from anyone. They wake up thinking about what problem does not have a solution yet. Not one day does the company talk about marketing. All they think about is what is the next thing. What is necessary. What is valuable. What actually helps people. While everyone else is fighting over the same pie Nvidia is out there baking a completely different one. You do not win by being better at the same game. You win by changing what the game even is. Are you a market maker or a share taker? Follow @10xtechengineers for more . #Founders #JensenHuang #Nvidia #StartupMindset #Innovation

NVIDIA CEO, Jensen Huang introduced: "DGX Station" — designed for data scientists and researchers it includes: - 20 petaflops of performance - 72 CPU cores - Chip-to-chip interface - HBM (high bandwidth memory) - PCIe slots for GeForce Click Bio Link. Click Subscribe button. https://www.youtube.com/@Global5GEvolution click #subscribe #nvidia #jensenhuang #usa