NVIDIA drives physical AI with new infrastructure, partnerships, and open models
ByPulseAugur Editorial·
Summary by gemini-2.5-flash-lite
from 13 sources
NVIDIA is significantly advancing physical and agentic AI through a series of new models, infrastructure, and collaborations. The company has introduced new frontier models like NVIDIA Cosmos 3 and Isaac GR00T N1.7, alongside open models such as Gemma 4, optimized for both cloud and edge devices. NVIDIA is also enhancing its AI factory reference designs and collaborating with Google Cloud and Adobe to integrate these capabilities into production environments, focusing on efficiency, security, and scalability for applications ranging from robotics to creative content generation.
AI
arXiv:2604.23466v1 Announce Type: new Abstract: NVIDIA's CUDA Tile (CuTile) introduces a Python-based, tile-centric abstraction for GPU kernel development that aims to simplify programming while retaining Tensor Core and Tensor Memory Accelerator (TMA) efficiency on modern GPUs. …
NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services. This foundation enables developers, startups and e…
AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making. NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across cre…
Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action. Designed for this shift, G…
CERAWeek — dubbed the Davos of energy — is where policymakers, producers, technologists and financiers gather to discuss how the world powers itself next. NVIDIA and Emerald AI unveiled at the conference last week a new way forward — treating AI factories not as static power load…
Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. NVIDIA GTC last week showcased a turning point in physical AI: Ro…
X — Fireworks (inference infra)
TIER_1·FireworksAI_HQ·
<img src="https://spectrum.ieee.org/media-library/computer-setup-with-a-monitor-displaying-forest-graphics-keyboard-mouse-and-a-sleek-cpu-design.png?id=65315285&width=1200&height=800&coordinates=19%2C0%2C19%2C0" /><br /><br /><p><em>This is a sponsored article brought…
<p>NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving veh…
