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Nvidia just released ChronoEdit-14B on Hugging Face enables physics-aware image editing and action-conditioned world simulation through temporal reasoning. It distills priors from a 14B-parameter pretrained video generative model and separates inference into (i) a video https://x.com/_akhaliq/status/1983953896415604836
👀 Meet @NVIDIAAI Nemotron Nano 2 VL, now hosted on Nebius AI Studio – 10× higher throughput – Document + video intelligence – Open weights, open data – Ready for production Build multimodal assistants today → https://x.com/nebiusaistudio/status/1983243873317974318
NVIDIA Launches Open Models and Data to Accelerate AI Innovation | NVIDIA Blog https://blogs.nvidia.com/blog/open-models-data-ai/
Nvidia becomes first company to reach $5 trillion valuation https://www.cnbc.com/2025/10/29/nvidia-on-track-to-hit-historic-5-trillion-valuation-amid-ai-rally.html
A new open-source physics engine just dropped… and it could change how robots learn. Newton, built by @nvidia with support from @GoogleDeepMind and Disney Research, is now part of The Linux Foundation. It’s designed to bring precise, GPU-powered physics to robotics and https://x.com/IlirAliu_/status/1982726852507521065
We just launched new open models and datasets to make AI research and development more accessible 🤝 You now have open foundations to build specialized intelligent agents faster, safer, and at scale — from Nemotron to Cosmos, Isaac GR00T to Clara. Over 650 open models and 250 https://x.com/NVIDIAAIDev/status/1983227688333574318
Jensen at NVIDIA GTC: It’s likely that humanoid robots, which my friend Elon is also working on, will be one of the largest consumer electronics markets and one of the largest industrial equipment markets. https://x.com/TheHumanoidHub/status/1983230275694760271
(28) NVIDIA GTC Washington, D.C. Keynote with CEO Jensen Huang – YouTube https://www.youtube.com/watch?v=lQHK61IDFH4&t=2s
A small follow-up to my DGX Spark post. Courtesy of NVIDIA, I got to try the DGX on my workflows (coding LLMs from scratch in pure PyTorch) and wanted to share my first impressions after using it for a week. Before getting to the performance, there was a neat bonus I didn’t https://x.com/rasbt/status/1983895811915214996
🚀Excited to team up with @NVIDIAAIDev to bring Nemotron Nano 2 VL to vLLM – a multimodal model powered by a hybrid Transformer-Mamba language backbone, built for video understanding and document intelligence✨ Full post here👇 https://x.com/vllm_project/status/1984334926972592193
We are so excited to be a launch partner for @nvidia Nemotron Nano 2 VL today and offer day-zero support for this highly accurate and efficient vision language model, alongside other models in the Nemotron family. To learn more, read our blog here https://x.com/basetenco/status/1983243273171845596
Got to say hi to @adcock_brett at the NVIDIA GTC pregame. Jensen’s keynote starts in one hour. https://x.com/TheHumanoidHub/status/1983187543349965082
people are sleeping on this release NVIDIA blessed us with a new family of Nemotron RAG models 🔥 it comes with text retrievers, multimodal retrievers as well as layout detectors with commercially permissive license 👏 https://x.com/mervenoyann/status/1984302303570960666
Nemotron Nano VL 12B V2 by @nvidia is now on Replicate A 12B vision-language beast for document intelligence & video understanding. Handles up to 4 images or 1 video, extract data from invoices, compare pics, summarize clips, all in 10 languages! https://x.com/replicate/status/1983242266836890026
I spoke at NVIDIA yesterday about Figure and why solving general robotics is priority zero https://x.com/adcock_brett/status/1983576387895357643
Jensen’s keynote discussing NVIDIA + Figure https://x.com/adcock_brett/status/1983522032924111224
w/ Jensen at NVIDIA GTC https://x.com/adcock_brett/status/1983219943073362041
Brett Adcock at NVIDIA GTC: Solving general-purpose AI for humanoid robots is ten to a hundred times harder than making the humanoid robots. https://x.com/TheHumanoidHub/status/1983199160875790426
Listening to Jensen talk about his favorite maths – specs of Vera Rubin chips, and the full stack from lithography to robot fleets assembling physical fabs in Arizona & Houston. Quoting Jensen, “these factories are basically robots themselves”. I visited NVIDIA facilities https://x.com/DrJimFan/status/1983232823784853998
Clearly NVIDIA’s nccl isn’t good enough for scaling up as there are new alternative collective comms libraries being developed Meta has published a paper on NCCLX Collective Communication for 100k+ GPUs https://x.com/StasBekman/status/1982861472024932409
NVIDIA Just Released 8M Sample Open Dataset + OCR Tooling on @huggingface – 3x larger than v1 (just 2 months ago!) – Image/video QA, reasoning, multilingual OCR – Commercial-ready (CC-BY-4.0) @NVIDIAAI is one of the few major AI labs releasing datasets 🤗 https://x.com/vanstriendaniel/status/1983238971644608924
”NVIDIA Isaac GR00T N open reasoning VLA models are now integrated into @huggingface’s LeRobot with the v0.4.0 release. 🤖 Making it easier than ever for the open-source robotics community to customize and deploy robot foundation models. 👉 https://x.com/NVIDIARobotics/status/1983564485588549657
NEO Specs – Weight: 66 lbs – Height: 5’6″” – Lift Capacity: 154 lbs – Carry Capacity: 55 lbs – Battery Life: 4 Hours (with Fast Charging) – Processor: Based on NVIDIA Jetson Thor – Vision: 2x 8MP Fisheye Cameras – 4 Mics, 3 Speakers – Noise Level: 22 dB (Max) – 22 DoF hand https://x.com/TheHumanoidHub/status/1983306801551376611
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