Developer Resources for Manufacturing and Industrial Applications
A hub of news, SDKs, technical resources, and more.
App Frameworks and SDKs
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC applications.Learn About The HPC SDK
NVIDIA Modulus is a neural network framework that blends the power of physics and partial differential equations (PDEs) with AI to build more robust models for better analysis.Learn About Modulus
Data Science and Analytics
The NVIDIA RAPIDS™ suite of open-source software libraries, built on CUDA-X AI™, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.Get Started with RAPIDS
AI-Powered Video Analytics
NVIDIA Metropolis is an application framework that simplifies the development, deployment and scale of AI-enabled video analytics applications from edge to cloud. It includes production ready pre-trained models and TAO Toolkits for training and optimization, DeepStream SDK for streaming analytics, other deployment SDKS, CUD-X libraries and the NVIDIA EGX platform.Explore Full Set of Tools
Robotics and Automation
With the NVIDIA Isaac SDK™, you can build and deploy commercial-grade, AI-powered robots. The toolkit includes building blocks and tools that accelerate robot developments that require the increased perception, navigation, and manipulation features enabled by AI.Explore ISAAC SDK
Isaac Sim built on NVIDIA Omniverse™ provides access to NVIDIA PhysX and RTX ray-tracing technologies for photo-realistic robotic simulations for training and testing in virtual industrial environments.Learn About ISAAC Sim
Rendering and Video
NVIDIA DesignWorks™ includes software development kits, libraries, and samples for render, video, and display solutions to enable developers to benefit from the thousands of computing cores on modern GPUs.Acess DesignWorks
For ray-tracing applications, the NVIDIA OptiX™ application framework provides a simple, recursive, and flexible pipeline for optimal ray-tracing performance on GPU.Learn About Optix
AR and VR
NVIDIA CloudXR™ is NVIDIA’s solution for streaming virtual reality (VR), augmented reality (AR), and mixed reality (MR) content from any OpenVR XR application on a remote server—cloud, data center, or edge.Explore CloudXR
NVIDIA VRWorks™ is a comprehensive suite of APIs, libraries, and engines that enable application and headset developers to create amazing VR experiences.Access VRWorks
NVIDIA Omniverse™ powers real-time collaboration in a single, interactive, simulated environment and instant photorealistic output to ultra-high-fidelity, ray-traced, and path-traced rendering with one click.Get Started with OMNIVERSE
Edge AI Deployment
NVIDIA Fleet Command is a hybrid-cloud platform for managing and scaling AI at the edge. From one control plane, anyone with a browser and internet connection can deploy applications, update software over the air, and monitor location health.Learn About Fleet Command
Browse by Resource Type
Appearance Management with NVIDIA IRay for Visualizing the Digital Twin
Learn about extending integrated, push-button NVIDIA Iray® ray tracing with a new strategy for defining visual materials and managing visual variability.Watch Now
Building Robotics Applications Using NVIDIA Isaac SDK
This session covers the NVIDIA Isaac SDK robotics platform and its benefits for developers, including the engine, perception GEMS (packages with high-performance robotics algorithms), and workflows and what’s coming in the next release.Watch Now
GPU Acceleration of a FEM-based Commercial CFD Solver
Learn how to design algorithms and data structure to migrate parallel, sparse, and iterative linear solvers in a commercial computational fluid dynamics (CFD) code that was previously optimized for CPUs to NVIDIA GPUs with CUDA® libraries.Watch Now
Accelerating Vision AI Applications Using NVIDIA TAO Toolkit and Pre-trained Models
Learn how to make the process of creating vision AI models quicker and easier with NVIDIA TAO Toolkit and pre-trained models.Watch Now
How to Train Your Robot: A Simulation-First Approach
This session covers BMW Group’s research and development in one of their most recent applications: the Smart Transport Robot (STR), focusing on the simulation environment and how it’s involved in the development process of the STR.Watch Now
Edge AI for Production and Packaging Lines
How to use real-time computer vision and NVIDIA EGX™ with the Metropolis platform on high-speed production and packaging lines to detect complex defects, measure dimensions, and control the process.Watch Now
Applications of AI for Predictive Maintenance
Learn how to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and use this information to map anomalies to failure conditions, minimizing unplanned downtime.
Getting Started with DeepStream for Video Analytics on Jetson Nano
In this course, you’ll learn to extract meaningful insights from video streams through deep learning video analytics using JupyterLab notebooks on an NVIDIA Jetson Nano™.
Deep Learning for Industrial Inspection
Explore how convolutional and recurrent neural networks can be combined to generate effective descriptions of content within images and video clips by combining computer vision and natural language processing. Solve deep learning problems that require multiple types of data inputs.
Deep Learning for Robotics
Explore how to create robotics solutions on NVIDIA Jetson™ for embedded applications and train a robot to actuate the correct output based on the visual input.
Programs For You
The NVIDIA Developer Program provides the advanced tools and training needed to successfully build applications on all NVIDIA technology platforms. This includes access to hundreds of SDKs, a network of like-minded developers through our community forums, and more.
NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science to solve real-world problems. Powered by GPUs in the cloud, training is available as self-paced, online courses or live, instructor-led workshops.
Accelerate Your Startup
NVIDIA Inception—an acceleration platform for AI, data science, and HPC startups—supports over 7,000 startups worldwide with go-to-market support, expertise, and technology. Startups get access to training through the DLI, preferred pricing on hardware, and invitations to exclusive networking events.
NVIDIA Manufacturing News
How to Train a Defect Detection Model Using Synthetic Data with NVIDIA Omniverse Replicator
Learn how to train an object detection model entirely with synthetic data, improve its accuracy with limited ground truth real data, and validate it against images that model has never seen before.
AutoDMP Optimizes Macro Placement for Chip Design with AI and GPUs
Macro placement has a tremendous impact on the landscape of the chip, directly affecting many design metrics, such as area and power consumption.
Physics-Informed Machine Learning Platform NVIDIA Modulus Is Now Open Source
Physics-informed machine learning (physics-ML) is transforming high-performance computing (HPC) simulation workflows across disciplines, including computational fluid dynamics, structural mechanics, and computational chemistry. Because of its broad applications, physics-ML is well suited for modeling physical systems and deploying digital twins across industries ranging from manufacturing to climate sciences. NVIDIA Modulus is a state-of-the-art physics-ML platform that … Continued
Power Your AI Inference with New NVIDIA Triton and NVIDIA TensorRT Features
NVIDIA Triton now offers native Python support with PyTriton, model analyzer support for model ensembles, and more.
View all manufacturing news
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