DataBloomMeet Violet, an AI-powered customer service assistant ready to take your order. Unveiled this week at GTC, Violet is a cloud-based avatar that represents the latest evolution in avatar development through NVIDIA Omniverse Avatar Cloud Engine (ACE), a suite of cloud-native AI microservices that make it easier to build and deploy intelligent virtual assistants and Read article >
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The latest release of NVIDIA Maxine is paving the way for real-time audio and video communications. Whether for a video conference, a call made to a customer service center, or a live stream, Maxine enables clear communications to enhance virtual interactions. NVIDIA Maxine is a suite of GPU-accelerated AI software development kits (SDKs) and cloud-native Read article >
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Developers, creators, and enterprises around the world are using NVIDIA Omniverse to build virtual worlds and push the boundaries of the metaverse. Based on…
Developers, creators, and enterprises around the world are using NVIDIA Omniverse to build virtual worlds and push the boundaries of the metaverse. Based on Universal Scene Description (USD), an extensible, common language for virtual worlds, Omniverse is a scalable computing platform for full-design-fidelity 3D simulation workflows that developers across global industries are using to build out the 3D internet.
During the latest GTC keynote, NVIDIA announced the largest release of new features for Omniverse to date, with Omniverse Cloud managed services and container deployments, new developer toolkits, and an open publishing portal for developers.
With these latest releases and capabilities, developers can build, extend, and connect 3D tools and platforms to the Omniverse ecosystem with greater ease than ever.
The first NVIDIA SaaS offering, Omniverse Cloud, is an infrastructure-as-a-service that connects Omniverse applications running in the cloud, on-premises, or on edge devices. Users can create and collaborate on any device with the Omniverse App Streaming feature, access and edit shared virtual worlds with Omniverse Nucleus Cloud, and scale 3D workloads across the cloud with Omniverse Farm.
Omniverse Cloud runs on the planetary-scale Omniverse Cloud Computer. It is powered by NVIDIA OVX for graphics-rich virtual world simulation, NVIDIA HGX for advanced AI workloads, and NVIDIA Graphics Delivery Network to enable low-latency delivery of interactive 3D experiences to edge devices.
Applications for industry workflows—like NVIDIA DRIVE Sim for testing and validating autonomous vehicles and NVIDIA Isaac Sim for training and testing robots—are packaged as containers for simple deployment. For synthetic data for industry use cases, Omniverse Replicator in the cloud enables synthetic 3D data generation for perception networks.
Ready to experience Omniverse in the cloud? Access cloud containers and deploy or apply for early access to managed services.
Omniverse Kit is a powerful toolkit for building native Omniverse applications and microservices. It is designed to be the premier foundation for new Omniverse-connected tools and microservices.
All the building blocks that developers need for building applications, extensions, and connectors for Omniverse are available in Omniverse Kit. Its modularity enables you to assemble tools in a variety of ways, depending on your unique needs. The Kit team is continuously improving the toolkit with new tools and improved user experience.
With the upcoming release of a self-publishing experience for Omniverse Exchange, you as a developer will have a powerful channel to expand the user audience for your connectors, extensions, and asset libraries. The publishing portal will provide a workflow for partners and community members to publish applications, connectors, and extensions to be featured in the Exchange.
Through Omniverse Exchange, Omniverse customers can seamlessly access industry and purpose-built third-party solutions that will accelerate and optimize their workflows. All content undergoes security vetting and quality assurance before being published.
Developers can be among the first to upload extensions or connectors to the NVIDIA Omniverse Exchange Publishing Portal through the early-access program, available by application. Community members are already taking advantage of these developer tools.
NVIDIA believes that USD is the best candidate to serve as the HTML of the metaverse. USD, an open and extensible ecosystem for describing, composing, simulating, and collaborating within 3D worlds, is now being used in a wide range of industries.
To accelerate the evolution of USD to meet the needs of the metaverse and become the standard language of virtual worlds, NVIDIA is continuing to contribute to the USD ecosystem in all areas. This ranges from education to building custom schemas for specific industry use cases, while providing free USD assets and resources to all audiences.
NVIDIA has developed Omniverse Connectors for a breadth of top industry applications. At GTC 2022, we introduced Connectors for Autodesk Alias, Siemens JT, and Open Geospatial Consortium (OGC) Web Map Service and APIs, now available in beta. Connectors are also in development for Unity, SimScale, and some of the Siemens Xcelerator portfolio.
In addition, new Omniverse Extensions extend the functionalities of Omniverse Apps, including Motionverse from Beijing DeepScience Technology Ltd, in3D, and SmartCow. Prevu3D and Move.AI will soon have extensions available, as well.
NVIDIA also released SimReady, a new category of 3D asset. 3D assets for digital twins and AI training workloads need specific, USD-based properties. NVIDIA is developing thousands of SimReady assets, as well as specifications for building them, tailored to specific simulation workloads like manipulator bot training and autonomous vehicle training.
SimReady goes beyond stunning, full-fidelity visuals for 3D art assets. It includes content with attached, robust metadata that can be inserted into any Omniverse simulation and behave as it would in the real world. For developers and technical artists, SimReady content can act as a standard baseline or starting point and evolve over time as simulation tools like Omniverse become more robust.
These assets provide full-fidelity visualization with the intent of photorealism. Core simulation metadata is always included in the assets and can be readily accessed on import of the art asset. SimReady assets also leverage the modular nature of USD to provide flexibility for technical artists generating synthetic data.
Download Omniverse to access the first collection of free SimReady assets.
Watch the GTC session, How to Build Simulation-Ready USD 3D Assets, to learn more.
NVIDIA Omniverse Replicator is now deployable in the cloud through containers hosted on NGC and through Omniverse Cloud early access. It features a new Replicator Insight app for enhanced viewing and inspecting of generated data.
Numerous partners, including Siemens SynthAI, SmartCow, Mirage, and Lightning AI, are integrating Omniverse Replicator into their existing tools to extend their synthetic data workflows. Learn more about how Omniverse Replicator is accelerating AI training faster than ever with custom, physically-accurate synthetic data generation pipelines.
Announced at GTC, the new NVIDIA Ada Lovelace GPU delivers real-time rendering, graphics, and AI that will help technical designers and developers build larger virtual worlds. With a more than 2x boost in rendering performance from the previous-generation NVIDIA RTX A6000, NVIDIA Ada Lovelace enables real-time path tracing in 4K resolution. It also enables users to edit and operate large-scale worlds interactively and experience updates to virtual worlds in real time.
Neural graphics can change the way content is created and experienced. AI-powered tools on NVIDIA AI ToyBox now enable creators to experiment with the latest research in their 3D workflows. AI Animal Explorer is available now, with updates coming soon, including:
Omniverse now enables proceduralism for behavior, movement, and motion in Omniverse worlds. Behavior and physics simulation technologies have improved ease of use, refinement, and functionality. With the new OmniGraph node-based physics systems, behavior, motion, and action can be entirely procedural without any manual animation.
NVIDIA PhysX is an advanced real-time physics engine in Omniverse. Several key updates were announced at GTC, including:
This summer, developers from around the world used Omniverse Code to build extensions for 3D worlds as part of the NVIDIA #ExtendOmniverse Contest. Exciting new tools were submitted for layout and scene authoring, Omni.ui, and scene modifier and manipulator tools.
Winners of the contest will be announced at GTC during the NVIDIA Omniverse User Group on September 20 at 3:00 PM (Pacific time).
Join panels, talks, and hands-on labs for developers at GTC to learn more about Omniverse and other tools developers are using to build metaverse extensions and applications.
Watch the latest GTC keynote by NVIDIA founder and CEO Jensen Huang to hear about the latest advancements in AI and the metaverse.
Visit the Omniverse Resource Center to learn how you can build custom USD-based applications and extensions for the platform.
Follow Omniverse on Instagram, Twitter, YouTube, and Medium for additional resources and inspiration. Check out the Omniverse forums, Discord Server, and Twitch channel to chat with the community. Visit NVIDIA-Omniverse GitHub repo to explore code samples and extensions built by the community.
Recent advances in large language models (LLMs) have fueled state-of-the-art performance for NLP applications such as virtual scribes in healthcare, interactive…
Recent advances in large language models (LLMs) have fueled state-of-the-art performance for NLP applications such as virtual scribes in healthcare, interactive virtual assistants, and many more.
To simplify access to LLMs, NVIDIA has announced two services: NeMo LLM for customizing and using LLMs, and BioNeMo, which expands scientific applications of LLMs for the pharmaceutical and biotechnology industries. NVIDIA NeMo Megatron, an end-to-end framework for training and deploying LLMs, is now available to developers around the world in open beta.
The NVIDIA NeMo LLM service provides the fastest path to customize foundation LLMs and deploy them at scale leveraging the NVIDIA managed cloud API or through private and public clouds.
NVIDIA and community-built foundation models can be customized using prompt learning capabilities, which are compute-efficient techniques, embedding context in user queries to enable greater accuracy in specific use cases. These techniques require just a few hundred samples to achieve high accuracy. Now, the promise of LLMs serving several use cases with a single model is realized.
Developers can build applications ranging from text summarization, to paraphrasing, to story generation, and many others, for specific domains and use cases. Minimal compute and technical expertise are required.
The Megatron 530B model is one of the world’s largest LLMs, with 530 billion parameters based on the GPT-3 architecture. It will soon be available to developers through the early access program on the NVIDIA NeMo LLM service. Model checkpoints will soon be available through HuggingFace and NGC, or for use through the service, including:
Apply now to use NeMo LLM in early access.
Join us for the GTC 2022 session, Enabling Fast-Path to Large Language Model Based AI Applications to learn more.
The BioNeMo service, built on NeMo Megatron, is a unified cloud environment for AI-based drug discovery workflows. Chemists, biologists, and AI drug discovery researchers can generate novel therapeutics; understand their properties, structure, and function; and ultimately predict binding to a drug target.
Today, the BioNeMo service supports state-of-the-art transformer-based models for both chemistry and proteomics. Support for DNA-based workflows is coming soon. The ESM-1 architecture provides equivalent capabilities for proteins, and OpenFold is supported for ease of use and scaling of workflows for predictions of protein structures. The platform enables an end-to-end modular drug discovery workflow to accelerate research and better understand proteins, genes, and other molecules.
Learn more about NVIDIA BioNeMo.
NVIDIA has announced new updates to NVIDIA NeMo Megatron, an end-to-end framework for training and deploying LLM up to trillions of parameters. NeMo Megatron is now available to developers in open beta, on several cloud platforms including Microsoft Azure, Amazon Web Services, and Oracle Cloud Infrastructure, as well as NVIDIA DGX SuperPODs and NVIDIA DGX Foundry.
NeMo Megatron is available as a containerized framework on NGC, offering an easy, effective, and cost-efficient path to build and deploy LLMs. It consists of an end-to-end workflow for automated distributed data processing; training large-scale customized GPT-3, T5, and multilingual T5 (mT5) models; and deploying models for inference at scale.
Its hyperparameter tool enables custom model development, automatically searching for the best hyperparameter configurations for both training and inference, on any given distributed GPU cluster configuration.
Large-scale models are made practical, delivering high training efficiency, using techniques such as tensor, data, pipeline parallelism, and sequence parallelism, alongside selective activation recomputing. It is also equipped with prompt learning techniques that enable customization for different datasets with minimal data, vastly improving performance and few-shot tasks.
Apply now to use NeMo Megatron in open beta.
Join us for the GTC 2022 session, Efficient At-Scale Training and Deployment of Large Language Models (GPT-3 and T5) to learn more about the latest advancements.
Announced at GTC, technical artists, software developers, and ML engineers can now build custom, physically accurate, synthetic data generation pipelines in the…
Announced at GTC, technical artists, software developers, and ML engineers can now build custom, physically accurate, synthetic data generation pipelines in the cloud with NVIDIA Omniverse Replicator.
Omniverse Replicator is a highly extensible framework built on the NVIDIA Omniverse platform that enables physically accurate 3D synthetic data generation to accelerate the training and accuracy of perception networks.
Omniverse Replicator is now deployable in the cloud through containers hosted on NVIDIA NGC and SaaS available for early access by application. The Replicator suite of tools and content also now features a new Replicator Insight app for enhanced viewing and inspecting of generated data, plus new SimReady content and guides for plug-and-play synthetic data workflows.
Numerous partners are integrating Omniverse Replicator in their existing tools to extend their synthetic data workflows. Siemens with their SynthAI software, SmartCow, Mirage, and Lightning AI are among the first to use Omniverse Replicator to accelerate high-quality synthetic data generation.
For developers and enterprises who want the flexibility and scalability of cloud deployment, Omniverse Replicator is now available as container deployments on AWS. You can become a member of NGC to access containers and self-service deploy on Amazon EC2 G5 instances featuring A10G Tensor Core GPUs.
Generating synthetic data and improving AI models is an iterative process requiring the ability to view and analyze generated datasets along the way. This process can be quite cumbersome as data is not easily navigable and annotations are not easily inspected.
At GTC, we released Omniverse Replicator Insight early access, an app that enables you to view, inspect, and analyze generated datasets with a range of annotations efficiently and intuitively. Replicator Insight lets you browse generated datasets from different sensors on a frame-by-frame basis, select points of interest to view, and inspect specific annotations of specific objects.
Viewing, inspection, and analysis of generated datasets is efficient and intuitive on Replicator Insight with a range of annotations. It enables you to browse through the generated datasets from different sensors on a frame-by-frame basis. You can select objects of interest to view and inspect annotations for specific objects.
Replicator Insight lets developers and researchers take a leap towards data-centric AI training, integrating synthetic data more seamlessly into the model improvement process.
Omniverse Replicator SimReady Universal Scene Description (USD) assets help you get started generating synthetic data to narrow the gap between simulation and reality:
Conveyor belts, ramps, and cardboard boxes are just a few examples of SimReady assets available in the Omniverse Replicator library.
You can access the first collection of free SimReady assets by downloading Omniverse today. For more information about new assets and other resources, see New Cloud Applications, SimReady Assets, and Tools for Omniverse Developers Announced at GTC.
Several partners are using Omniverse Replicator to accelerate the training and performance of AI perception networks. Their applications span every phase of end-to-end synthetic data generation workflows. With Omniverse Replicator as a foundational platform for their applications, these partners are helping customers strengthen datasets and improve the accuracy of AI models for a variety of industry use cases.
Mirage is helping ML engineers understand where their dataset is weak and integrate synthetic data that fixes these weaknesses. Replicator is the backbone from which Mirage’s customers generate high-fidelity data to improve their ML models.
Lightning AI lets you build models and use or create Lightning Apps: powerful, end-to-end machine learning systems that are fully customizable. The Omniverse Replicator Lightning App lets you quickly generate synthetic data to reduce the cost and effort associated with gathering and labeling real-world data.
With Lightning AI, researchers and developers can run parallel AutoML jobs, find the best-performing object detection model, and verify performance on real-world data for synthetic data generation.
SmartCow leverages Omniverse Replicator to generate synthetic data with variations simply and effectively. Adding those variations through Replicator enables SmartCow to continuously improve model accuracy with ease. SmartCow uses Replicator in its iterative process to generate additional variations from data drift detections and create improved models.
Siemens is collaborating with NVIDIA to bring the Omniverse Replicator high-fidelity rendering capabilities and SDK to SynthAI’s cloud. This will ensure a simple, streamlined workflow from product design and collaboration to synthetic data generation and model training and ending with successful deployment.
For more information about how Siemens’ SynthAI, SmartCow, and Mirage are building on Replicator, add the How to Build a Custom Synthetic Data Pipeline to Train AI Perception Models GTC session to your calendar.
You can get started with Omniverse Replicator today by downloading Omniverse and installing the Omniverse Code app.
To get hands-on training with Replicator, join the Generate Synthetic Data Using Omniverse Replicator for Perception Models DLI training lab at GTC with NVIDIA Omniverse Replicator product manager, Nyla Worker.
For more information and the latest news, see the following resources:
Telecoms began touting the benefits of 5G networks six years ago. Yet the race to deliver ultrafast wireless internet today resembles a contest between the tortoise and the hare, as some mobile network operators struggle with costly and complex network requirements. Advanced data analytics company HEAVY.AI today unveiled solutions to put carriers on more even Read article >
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Opening a new era of neural graphics that marries AI and simulation, NVIDIA today announced the NVIDIA RTX™ 6000 workstation GPU, based on its new NVIDIA Ada Lovelace architecture.
NVIDIA today unveiled the GeForce RTX® 40 Series of GPUs, designed to deliver revolutionary performance for gamers and creators, led by its new flagship, the RTX 4090 GPU, with up to 4x the performance of its predecessor.
NVIDIA today announced NVIDIA® DLSS 3, an AI-powered performance multiplier that kicks off a new era of NVIDIA RTX™ neural rendering for games and applications.
Canon, John Deere, Microsoft Azure, Teradyne, TK Elevator Join Over 1,000 Customers Adopting Jetson Orin Family Within Six Months of Launch SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) …