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NVIDIA Opens AI Factory Standards for Faster Buildouts

NVIDIA Opens AI Factory Standards for Faster Buildouts

As AI factories grow from megawatts to gigawatts, building them takes more than advanced computing. At the Open Compute Project (OCP) Global Summit in San Jose, NVIDIA announced new partnerships and contributions meant to create a common foundation for next-generation AI infrastructure, with open standards helping the industry scale AI infrastructure faster, more efficiently and more reliably. NVIDIA contributed key NVIDIA Vera Rubin rack and compute tray designs to OCP through the open NVIDIA MGX architecture, giving system builders a shared base for developing next-generation AI factory...

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GIGABYTE AI TOP ATOM Supports NVIDIA Nemotron 3.5 Lightning: 30B MoE With 3B Active, Up to 4x Throughput, 1M Context

GIGABYTE AI TOP ATOM Supports NVIDIA Nemotron 3.5 Lightning: 30B MoE With 3B Active, Up to 4x Throughput, 1M Context

GIGABYTE says its AI TOP ATOM hardware platform fully supports the newly released NVIDIA Nemotron 3.5 Lightning model and the NVIDIA NeMo Switchyard open source routing library, aiming to give customers on-premises agentic AI with high performance and full data sovereignty. The model is built for the high-volume, repetitive execution steps in always-on agents, such as personal assistants, software development, cybersecurity operations, financial and healthcare administration, and telecom and retail workflows. NeMo Switchyard selects the right model for each agent step based on workflow...

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Multimodal Open d1 Decision Models for the Edge

Multimodal Open d1 Decision Models for the Edge

Liquid AI has released two open-weight decision models: d1-3B and d1-omni-600M (experimental). Unlike generative models that produce tokens sequentially, decision models answer questions in a single forward pass, making them suitable for edge deployment. d1-3B is trained from LFM2.5-VL-3B, a decoder-only vision language model that accepts text and images. d1-omni-600M is trained from LFM2.5-Encoder-350M, a bidirectional encoder that adds vision and audio encoders, accepting either text and images or text and audio as inputs. The d1-omni-600M model is currently in early research release and...

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CORSAIR HS80 v2 MAX WIRELESS: Competitive Gaming Audio

CORSAIR HS80 v2 MAX WIRELESS: Competitive Gaming Audio

CORSAIR Drops the HS80 v2 MAX Wireless: 110-Hour Battery, Dual Connectivity, and Footstep-Focused Audio CORSAIR has just unveiled the HS80 v2 MAX Wireless, bringing serious competitive upgrades, massive battery life, and dual-source connectivity to one of their most popular headset designs. If you are looking to cut the cord without sacrificing competitive awareness, here is everything that actually matters for your setup: .abn-galeria .uk-slidenav, .abn-galeria .uk-slidenav:hover, .abn-galeria .uk-slidenav:active { background: transparent !important; ...

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Two men sit on white chairs on stage in front of a black backdrop featuring the NVIDIA logo and a red bird graphic.

CrowdStrike Launches SafeMind, an Agentic Cybersecurity System Built with NVIDIA

The NVIDIA founder and CEO joined CrowdStrike CEO and founder George Kurtz to announce CrowdStrike SafeMind, an agentic cybersecurity system developed by the CrowdStrike Cyber Superintelligence Lab. “This is the beginning of a new age of cybersecurity,” Huang told the crowd. “On the one hand, the adversaries are going to be more armed than ever. On the other hand, all of you are going to be more armed than ever.” SafeMind combines CrowdStrike's purpose-built, beyond frontier-capable models and customized agentic harnesses with defensive models built on NVIDIA...

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Compact NVIDIA AI devices arranged in a grid, showcasing small form-factor hardware for local AI processing.

Local AI Gets More Capable as Models Shrink to Fit on More Devices

As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, ASUS, Dell, Gigabyte, HP and MSI — giving developers, researchers and AI enthusiasts a new configuration with DGX OS and the NVIDIA AI software stack ready to use from day one. The new SKU runs capable local agents on device privately, without cloud dependency. When workloads grow, two units can cluster...

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Curved triple-monitor setup on a sleek desk with RGB lighting, gaming chair, and custom PC tower.

Multi-Monitor Setups: Five Ways to Build One

Watch enough movies and you might start to believe that a multi-monitor setup is something exotic—the domain of genius hackers, paranoid supervillains, and hyper-vigilant day-traders. The truth is that people from all walks of life use multi-monitor setups. It's one of the most practical upgrades you can make to a PC, and it's easy to set up and use. Gamers keep digital worlds front and center while Discord, a map, and a guide sit one glance away. Streamers read chat live and monitor their output without breaking immersion. Colorists keep footage in view while every scope and panel lives on...

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A man in a blue shirt works at a desk with a computer displaying colorful data visualizations on its screen.

AI Models Bring Air Pollution Forecasting to the Desktop

Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the University of Manchester's department of Earth and environmental science, saw that the NVIDIA Earth-2 family of open AI models and tools had cracked a related problem for weather forecasting and asked whether the same generative frameworks could work for...

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NVIDIA logo and Kumo Tabular text beside a 3D green eye symbol and sample tabular data with numerical and categorical columns.

NVIDIA Releases Kumo Tabular, an Open Foundation Model for Tabular Data

NVIDIA has released Kumo Tabular, an open foundation model for tabular classification and regression available on Hugging Face. The model predicts labels for new rows in a single forward pass without training, tuning, or feature engineering. It comes in three sizes ranging from 28M to 215M parameters, runs through NVIDIA's open-source library, and is released under the OpenMDW-1.1 license for commercial use. Model Size Parameters Small 28M Medium ~122M Large 215M Kumo Tabular ranks first on four major benchmarks: TabArena, BeyondArena, TALENT, and ScoringBench. The Problem...

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