Under the old model, Omniverse development was free, but production deployments required an NVIDIA AI Enterprise subscription, which lists at $4,500 per GPU per year, $22,500 per GPU perpetual, or $1 per GPU-hour on CSP marketplaces. The new terms remove that requirement entirely; anything built with Omniverse can also be redistributed under the same free terms, which is a substantive impact for ISVs and integrators who embed Omniverse applications inside their own products. The catch, such as it is, sits in support. Without a subscription, support is limited to community channels, meaning the
NVIDIA Quietly Makes Omniverse Free for Production UseOmniverse software subscriptions were never going to register next to a data center business now measured in the tens of billions per quarter, but as a licensed product, Omniverse was friction in front of the workloads NVIDIA most wants to exist. Digital twins, robot training, AV simulation, and AI factory design all consume RTX and data center GPUs at scale, and all of them start with a developer standing up Omniverse. Removing the license removes the reason to prototype on something else. The support-attach model keeps an enterprise revenue path open while the platform grows adoption.
NVIDIA Quietly Makes Omniverse Free for Production Use… The DGX Station is marketed by Nvidia as a desk-side AI supercomputer that can handle up to 1 trillion parameters locally, a feat previously only capable on dedicated datacenter-class hardware, including Nvidia's DGX GB300 and its rack-scale GB300 NVL72 offerings. “As enterprises scale AI agents ac… …
… This unlocks a new class of AI performance on Windows, the platform enterprises trust for security, manageability, and compatibility." "As enterprises scale AI agents across their organizations, they need AI infrastructure that can connect directly to the applications and workflows that power their… …
Data Center / Cloud Building Token‑Metered AI Services on Telco AI Factories May 21, 2026 By Waleed Badr and Amogh Dendukuri Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike Telcos are building sovereign AI factories based on the NVIDIA Cloud Partner reference architecture to provide… …
… For a product that carried a $4,500-per-GPU-per-year list price under NVIDIA AI Enterprise, and whose Nucleus server pricing prompted a developer forum thread titled “Pricing: $25,000 for the nucleus server!?”, this is one of the larger licensing resets NVIDIA has made. …
… Designed for easy integration in air-cooled servers, it targets enterprises seeking scalable AI infrastructure with an open software ecosystem. Speed 0:00 / 0:00 Today, AMD unveiled its new Instinct MI350P GPU accelerator, targeted at AI workloads. …
… OEM products are generally intended for system integrators or enterprise customers and are sold in bulk, so they typically don't come with the fancy retail packaging. …
… Thomas Cornely, EVP of Product Management at Nutanix, said in a statement: "Nutanix Agentic AI extends our AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform, and Nutanix Enterprise AI to deliver a cloud operating model to enterprise AI factories, enabling infrastructure and platf… …
… NVIDIA OpenShell on Canonical Ubuntu and Red Hat AI in the Dell AI Factory with NVIDIA and NVIDIA AI-Q 2.0 for Dell AI Factory with NVIDIA, are available now. Dell-NVIDIA AI-Q 2.0 Reference Architecture, powered by Dell AI Data Platform, is available now. …
… When all is said and done, HPE might be a better indicator of how the GenAI boom is doing at enterprises, sovereigns, and neoclouds than is archrival Dell. server compute ai proliant hpe Enhanced Performance For Server Consolidation With Intel Xeon 6+ June 4, 2026 Compute HPE Catches Its First GenA…
NVIDIA and IREN Partner to Accelerate Large-Scale AI Infrastructure Deployment by Lyle Smith on May 11, 2026 AI ◇ Enterprise NVIDIA and IREN Limited have announced a strategic partnership to accelerate the deployment of next-generation AI infrastructure, with plans to support up to 5 gigawatts of N… …