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Month: August 2022

New NVIDIA Neural Graphics SDKs Make Metaverse Content Creation Available to All

A dozen tools and programs — including new releases NeuralVDB and Kaolin Wisp — enable easy, fast 3D content creation for millions of designers and creators.
August 9, 2022 by
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The creation of 3D objects for building scenes for games, virtual worlds including the metaverse, product design or visual effects is traditionally a meticulous process, where skilled artists balance detail and photorealism against deadlines and budget pressures.

It takes a long time to make something that looks and acts as it would in the physical world. And the problem gets harder when multiple objects and characters need to interact in a virtual world. Simulating physics becomes just as important as simulating light. A robot in a virtual factory, for example, needs to have not only the same look, but also the same weight capacity and braking capability as its physical counterpart.

It’s hard. But the opportunities are huge, affecting trillion-dollar industries as varied as transportation, healthcare, telecommunications and entertainment, in addition to product design. Ultimately, more content will be created in the virtual world than in the physical one.

To simplify and shorten this process, NVIDIA today released new research and a broad suite of tools that apply the power of neural graphics to the creation and animation of 3D objects and worlds.

These SDKs — including NeuralVDB, a ground-breaking update to industry standard OpenVDB, and Kaolin Wisp, a PyTorch library establishing a framework for neural fields research — ease the creative process for designers while making it easy for millions of users who aren’t design professionals to create 3D content.

Neural graphics is a new field intertwining AI and graphics to create an accelerated graphics pipeline that learns from data. Integrating AI enhances results, helps automate design choices and provides new, yet to be imagined opportunities for artists and creators. Neural graphics will redefine how virtual worlds are created, simulated and experienced by users.

These SDKs and research contribute to each stage of the content creation pipeline, including:

3D Content Creation

  • Kaolin Wisp – an addition to Kaolin, a PyTorch library enabling faster 3D deep learning research by reducing the time needed to test and implement new techniques from weeks to days. Kaolin Wisp is a research-oriented library for neural fields, establishing a common suite of tools and a framework to accelerate new research in neural fields.
  • Instant Neural Graphics Primitives – a new approach to capturing the shape of real-world objects, and the inspiration behind NVIDIA Instant NeRF, an inverse rendering model that turns a collection of still images into a digital 3D scene. This technique and associated GitHub code accelerate the process by up to 1,000x.
  • 3D MoMa – a new inverse rendering pipeline that allows users to quickly import a 2D object into a graphics engine to create a 3D object that can be modified with realistic materials, lighting and physics.
  • GauGAN360 – the next evolution of NVIDIA GauGAN, an AI model that turns rough doodles into photorealistic masterpieces. GauGAN360 generates 8K, 360-degree panoramas that can be ported into Omniverse scenes.
  • Omniverse Avatar Cloud Engine (ACE) – a new collection of cloud APIs, microservices and tools to create, customize and deploy digital human applications. ACE is built on NVIDIA’s Unified Compute Framework, allowing developers to seamlessly integrate core NVIDIA AI technologies into their avatar applications.

Physics and Animation

  • NeuralVDB – a groundbreaking improvement on OpenVDB, the current industry standard for volumetric data storage. Using machine learning, NeuralVDB introduces compact neural representations, dramatically reducing memory footprint to allow for higher-resolution 3D data.
  • Omniverse Audio2Face – an AI technology that generates expressive facial animation from a single audio source. It’s useful for interactive real-time applications and as a traditional facial animation authoring tool.
  • ASE: Animation Skills Embedding – an approach enabling physically simulated characters to act in a more responsive and life-like manner in unfamiliar situations. It uses deep learning to teach characters how to respond to new tasks and actions.
  • TAO Toolkit – a framework to enable users to create an accurate, high-performance pose estimation model, which can evaluate what a person might be doing in a scene using computer vision much more quickly than current methods.

Experience

  • Image Features Eye Tracking – a research model linking the quality of pixel rendering to a user’s reaction time. By predicting the best combination of rendering quality, display properties and viewing conditions for the least latency, It will allow for better performance in fast-paced, interactive computer graphics applications such as competitive gaming.
  • Holographic Glasses for Virtual Reality – a collaboration with Stanford University on a new VR glasses design that delivers full-color 3D holographic images in a groundbreaking 2.5-mm-thick optical stack.

Join NVIDIA at SIGGRAPH to see more of the latest research and technology breakthroughs in graphics, AI and virtual worlds. Check out the latest innovations from NVIDIA Research, and access the full suite of NVIDIA’s SDKs, tools and libraries.

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NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations

October 21, 2026 by
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European retailers are using open models and physical intelligence across use cases — from a commerce platform cutting inference costs by 90% to to a fulfillment center where collaboration of different robotic fleets is simulated inside a digital twin.

Frontier Results With Open Models

Retail leaders and technology companies across Europe are using NVIDIA-accelerated open and frontier models to advance agentic commerce, digital product discovery and retail R&D.

Shopify post-trains open models to reach frontier-level accuracy at a fraction of the cost. Its engineers use the NVIDIA Megatron Bridge library for faster fine-tuning and NVIDIA NeMo RL for reinforcement learning. Shopify has post-trained NVIDIA Nemotron 3.5 Lightning for the GraphQL subagent integrated into Sidekick, Shopify’s AI assistant for merchants. The subagent retrieves store data for several Sidekick features, including Sidekick Pulse, which researches a merchant’s store and recommends ways to improve it. 

 

On Shopify’s internal benchmark, the post-trained model surpasses a leading frontier model in accuracy while cutting serving costs by 90% and delivering responses 7x faster. Beyond Sidekick, NVIDIA CCluster vLLM inference optimization software helped Shopify achieve 4.5x faster performance and up to 12x lower inference cost across five additional use cases: catalog enrichment, merchant assistant, e-commerce shopping simulation, product taxonomy classification, and merchant and buyer recommendations.

Zooplus, Europe’s leading online pet retailer, with Infosys and NVIDIA technologies rebuilt its product discovery stack for the agentic era. A production ready prototype deployed inside Zooplus’ Amazon Web Services (AWS) environment achieved 86% search accuracy using the NVIDIA Nemotron Retriever library for semantic search and the NVIDIA Blueprint for retail catalog enrichment for generated, search-ready product attributes.

Photoroom results from its deployment with Vestiaire Collective, where its Image Editing API now standardizes every primary image,  about 40,000 a day across 70 countries, at the point of listing. Listings processed by Photoroom sold at a 5% higher rate of liquidity, with 3% to 7% more unique views per product page. The pipeline runs on NVIDIA GPUs with TensorRT and Triton Inference Server, and NVIDIA Dynamo Snapshot can help users quickly respond to demand spikes.

Omi launched ProductDrop, a workflow that anchors every generated image to an approved digital twin, letting brands scale creative output across entire catalogs without introducing product errors. L’Oréal is using this approach, combining Omi’s digital twins with generated brand environments within its CreAItech program. Omi runs TRELLIS 3D asset generation on NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, speeding up inference by 10x and reducing pipeline latency by 4x.

In addition, L’Oréal is accelerating the discovery of the best ingredient combinations, moving from months of experimentation to hours of computational screening, with the integration of NVIDIA ALCHEMI into its research workflow. 

L’Oréal is also testing this approach with CurieOS, Orbital Industries‘ operating system for science and engineering, using OrbMol-v2, its open source molecular simulation model. Integrated with the NVIDIA ALCHEMI Toolkit and powered by NVIDIA accelerated computing, OrbMol-v2 is five times faster than comparable models and delivers 21% lower error than the next-best model of its kind. This AI-based workflow enables researchers to identify the most promising ingredient combinations for solubilizing UV filters and optimizing performance before committing to laboratory testing.

Mirakl, a software company for intelligent commerce, runs open models on NVIDIA GPUs, both on its own infrastructure and through European cloud providers like Scaleway. This keeps its technology sovereign, avoids vendor lock-in and delivers the speed and scale its customers expect. Mirakl’s Catalog Transformer pairs fine-tuned open models with proprietary services and has onboarded more than 70 million products, turning messy vendor data into accurate, well-organized catalogs. 

Physical Intelligence Enables Training in Simulation

NVIDIA physical AI, digital twins and open models help simulate retail environments, automate warehouse operations and deliver virtual try-on experiences for European retailers and fashion brands.

Otto Group advanced its autonomous warehouse under human supervision initiative — built with Reply on NVIDIA Omniverse libraries and running on Google Cloud — to the group’s largest fulfillment center in Haldensleben, Germany. New capabilities let logistics teams design, test and optimize warehouse operations entirely in simulation before any physical implementation. 

ALLSIDES launched its 3D Digital Twin Factory: an automated pipeline that transforms physical objects into SimReady 3D digital twins in minutes, capturing sub-millimeter geometric accuracy, measured physical properties and fully relightable materials that maintain accuracy under any lighting condition. Those digital twins serve as the foundation for simulating entire store layouts in 3D, as well as for tracking products reliably throughout the shopping journey and at checkout regardless of ambient light. Built on NVIDIA CUDA, OptiX and TensorRT, the platform already serves brands including adidas, Amazon, Nike, Zalando and Zara.

CATCHES achieved production results from its RealFit deployment with AMIRI of conversion up 55%, add-to-cart up 80% and gross sales up 56%, all after seasonal adjustment against like-for-like styles. The company launched PredictiveFit, extending physics-based virtual try-on to retailers, as well as CASI, a personal fashion agent that shops, styles and sizes for customers over WhatsApp, powered by open weight models including NVIDIA Nemotron 3, built on NVIDIA Omniverse and the Newton Physics Engine.

Explore New NVIDIA Retail Blueprints at the Nebius Booth

At GTC Berlin, Nebius is showcasing three NVIDIA Blueprints for retail, all available in early access and running on Nebius infrastructure, accelerated by NVIDIA:

  • Agent Harness for Employee Productivity: An agentic assistant that consolidates scheduling, task management, inventory alerts and operational insights for store managers. 
  • Inventory Simulation and Optimization: A blueprint that can help retailers reduce overstock and stockouts by modeling demand scenarios, testing replenishment strategies and optimizing stock levels before users need to commit in the real world. 
  • Agentic Finetuning Flywheel: A self-improving loop that uses agentic workflows to continuously generate training data, fine-tune open source models and feed real-world performance back into the next training cycle.

Request early access to the blueprints and learn more about NVIDIA technologies for retail and consumer packaged goods.

See notice regarding software product information. 

 

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Pioneers Across Europe Deploy NVIDIA Earth-2 Open Models to Power Real-World Weather and Climate Prediction

October 21, 2026 by
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Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and transport operators to plan around changing conditions. A global forecast can show a storm taking shape, but decisions about solar farms, shipping routes or insured property depend on what happens locally.

NVIDIA Earth-2 gives developers and researchers a family of open AI models and tools they can customize with their own data. Running on NVIDIA computing, these technologies support global weather prediction, detailed regional forecasts and environmental research.

 

StormScope EU is the latest model to join Earth-2 — a regional version of the StormScope model for short-term forecasting, trained over Europe weather and climate data. It uses EUMETSAT satellite observations to predict evolving cloud conditions across 16 Meteosat channels at 10-minute intervals.

At GTC Berlin, NVIDIA is showcasing a live StormScope EU pipeline in an interactive weather demo built in partnership with Earthmover. The demo uses Earth2Studio to run forecasts and Earthmover’s data platform to manage and serve the real-time results, which are updated as soon as new satellite observations come in, every 10 minutes. Earthmover serves these results as map tiles, letting visitors explore predictions across Europe without downloading entire datasets.

Developers can combine Earth-2 models in workflows tailored to regional needs, using StormScope for short-term forecasting and CorrDiff to add local detail to coarser weather data. Developers can also pick up these model architectures and train them for new environmental applications such as air-quality modeling. The open source NVIDIA PhysicsNeMo framework provides training and customization tools so teams can build applications that incorporate proprietary data and domain expertise to meet regional needs.

Organizations building on Earth-2 capabilities include:

AXA is using NVIDIA Earth-2’s FourCastNet 3 to study regional cyclone risk beyond the historical record across more than 1,000 simulated seasons, generating insights that can inform risk assessments and help customers target prevention efforts.

Vaisala Xweather is combining Earth-2 with its proprietary observations, lightning data and forecasting expertise to enhance its weather intelligence platforms for government, energy, maritime, transportation and insurance customers. Its work includes adapting StormScope with lightning data to advance short-term forecasting lead time and make these warnings accessible through Vaisala Xweather’s software-as-a-service offerings and AI-assistant integrations.

Video courtesy of Vaisala Xweather.

University of Manchester researchers adapted the Earth-2 CorrDiff model for U.K. air-quality modeling. It trained the model on the NVIDIA-powered Isambard-AI supercomputer and ran it locally on NVIDIA DGX Spark systems, bringing environmental modeling from a national supercomputer to the desktop.

TotalEnergies is exploring NVIDIA Earth-2 for solar-energy forecasting, evaluating StormScope-based solar-radiation nowcasts at two photovoltaic sites and developing models to provide weather information at subhourly intervals. The work explores how more detailed forecasts could help anticipate changes in solar-power generation.

Space42 developed SARDiff4Height using CorrDiff and NVIDIA PhysicsNeMo. The research estimates surface heights from a single radar image and produces uncertainty maps, helping analysts understand where estimates need closer scrutiny.

Explore NVIDIA Earth-2 open models and tools, and explore with Earth2Studio’s forecasting examples. Read AXA’s hurricane-risk case study and Manchester’s air-quality story to learn how teams are adapting weather AI to specialized challenges.

 

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NVIDIA Open Models Power a New Wave of European Public Sector Projects

Across Europe, open models help governments provide essential public services while keeping sensitive data on organizations’ own infrastructure.
October 21, 2026 by
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Governments need modern solutions to serve the public while keeping sensitive information under their control.

Open models provide a path forward, letting governments evaluate them, adapt them to local languages and public services, run them on infrastructure they control, apply their own safeguards and keep sensitive data within controlled environments. Some open models go further, with the datasets they were trained on published so governments can verify if training data was licensed, biased or compliant.

NVIDIA partners and European governments are teaming to bring  advanced models to boost the efficiency of public administration while retaining control of data and infrastructure. 

Several are also building editions of the NVIDIA Nemotron-Personas collection, the partner-grounded datasets behind NeMo User Sim, NVIDIA’s open source library for population-scale user simulation that dynamically evaluates and trains models and agents in local languages.

 

European Commission: Scaling Governed AI Applications

Berlin-based software company deepset is expanding its Haystack Enterprise Platform, the foundation of AI@EC, the European Commission’s shared platform for building and running AI applications on commission-managed infrastructure.

The update connects agent development, execution, optimization and governance for all customers, adding capabilities to compare operating costs, evaluate answer quality and trace problems. 

NVIDIA Triton Inference Server supports the shared services used to find and rank relevant information. The expansion builds on operating requirements demonstrated by deployments such as AI@EC, where reusable components, role-based access, audit trails and guardrails support applications including document summarization, knowledge management and multilingual policy analysis.

Poland: Advanced Computing for Healthcare and Employment

Deloitte is helping Poland build agentic systems for healthcare and employment services using open models. 

Poland’s eHealth Centre is building its Intelligent Services Platform for medical imaging with NVIDIA DGX BasePOD and the MONAI framework. The tool will help physicians analyze X-rays, CT scans and MRI images, detect abnormalities and prioritize urgent cases, reducing the time patients wait for results.

With Deloitte’s support, Poland’s Ministry of Family, Labour and Social Policy is developing an agentic factory on NVIDIA accelerated computing infrastructure. Designed to support more than 400 labor offices, it will run models including PLLuM, GPT OSS and Inkling for document search, summarization and digital assistants, helping staff more efficiently assist job seekers.

NVIDIA is also working with SpeakLeash in Poland and the University of Ljubljana in Slovenia on country-specific additions to its synthetic personas program, with localized datasets planned to follow.

UK: Data for Locally Relevant Advanced Modeling

London-based Locai Labs released Nemotron-Personas-UK, a dataset of 1 million synthetic personas reflecting the U.K.’s demographic and geographic diversity while reducing privacy risk. Potential uses include healthcare evaluation and bias testing across age groups, education levels and rural and urban populations. For developers building public-service models, it offers a way to test whether models work consistently across different communities.

Germany: Digital Assistants and AI for Classified Work

In Germany, Materna is introducing Sinfonie, an on-premises platform combining generative AI, voice interaction and 3D avatars, with NVIDIA Audio2Face available for animation. Built on a project for a German state administration, it helps employees access institutional knowledge through spoken questions while keeping data on their organization’s infrastructure.

For organizations handling classified information, secunet, NVIDIA, Red Hat and deepset are going a step further. The four companies are developing a sovereign cloud offering built on secunet’s proven SINA Cloud foundation, which includes security components that have been authorized for use with classified information. The planned offering combines four components: NVIDIA accelerated computing and NVIDIA Nemotron open models; Red Hat OpenShift AI for deploying and managing AI workloads; deepset’s Haystack AI agent orchestration; and infrastructure operated by secunet in German data centers. 

To support local development, the Sovereign Open Source Foundation Models research initiative (Soofi) is developing a family of AI models for German industry and the public sector. That includes Nemotron-Personas-Germany, an open dataset of 1 million records, each with six synthetic personas, grounded in the 2022 census across all 16 federal states and 400 districts. Created with NVIDIA NeMo Data Designer without real people’s private data, the dataset helps developers test whether public-service models work consistently across regions, age groups and communities. Like the U.K. edition, it can be used with NeMo User Sim so developers can evaluate and train models against simulated users based on synthetic German personas.

France: Advanced Open Models in the Public Sector Workspace

CANUT, France’s public purchasing body for digital services, selected LINAGORA and Docaposte to provide a sovereign collaborative workspace built on Twake.ai. 

More than 2,500 eligible organizations, including municipalities, schools and healthcare institutions, can access the framework without running their own tender. The workspace offers public employees email, document sharing and collaboration tools, with NVIDIA technology supporting speech transcription and infrastructure hosted in France. Région Occitanie is the preferred partner for scaling deployment.

Greece: A Local Agentic Ecosystem

Greek AI and energy company KIEFER is developing an agentic factory built on NVIDIA DGX SuperPOD with DGX GB200 alongside Sophea open weight models and Greek-language tools for knowledge retrieval, speech and digital assistants. These capabilities stand to make institutional information easier to find and use for Greek-speaking public sector teams, while giving organizations control over where agents run and how data is handled.

Codefest: Building the Next Applications

In an effort to support public sector organizations in integrating agentic AI in Europe and beyond, NVIDIA Open Models Codefest brings together startups, software providers and labs across the region to turn open models into locally controlled solutions for public sector challenges, including medical reasoning, AI tutoring and model governance. The top five teams are Pleias, Zehnlab.ai, Disseqt, Algoritmica GmbH and ABA Technology. Deutsche Telekom and T-Systems have provided the compute infrastructure for teams to train and deploy large language models. 

Learn how NVIDIA helps governments and communities accelerate secure advanced modeling and agent creation.

See notice regarding software product information.

 

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