Developer Resources for Manufacturing and Industrial Applications

A hub of news, SDKs, technical resources, and more.

The NVIDIA Developer Program gives access to a wide range of SDKs, technical resources, and more for manufacturing and industrial applications. Sign Up

App Frameworks and SDKs

High-Performance Computing

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.


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.


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.


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.


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.


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.


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.


For ray-tracing applications, the NVIDIA OptiX™ application framework provides a simple, recursive, and flexible pipeline for optimal ray-tracing performance on GPU.


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.


NVIDIA VRWorks™ is a comprehensive suite of APIs, libraries, and engines that enable application and headset developers to create amazing VR experiences.


Real-Time Collaboration

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.


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.


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.


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.


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.


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.


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.


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.

View all GTC talks

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.

Learn More >

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™.

Learn More >

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.

Learn More >

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.

Learn More >


Developer Resources

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.

Join Today

Technical Training

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.

View Courses

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.

Learn More

NVIDIA Manufacturing News

Top Manufacturing Sessions at GTC 2022

Top Manufacturing Sessions at GTC 2022

Discover the latest innovations in manufacturing and aerospace with GTC sessions from leaders at Siemens, Boeing, BMW, and more.

Upcoming Event: Manufacturing Workshops at GTC 2022

Upcoming Event: Manufacturing Workshops at GTC 2022

Join us for manufacturing sessions at GTC 2022, including an expert-led Deep Learning Institute workshop on Computer Vision for Industrial Inspection.

Visual Components Connector for NVIDIA Omniverse: A Perfect Recipe for Manufacturing Digitalization

Visual Components Connector for NVIDIA Omniverse: A Perfect Recipe for Manufacturing Digitalization

Learn about how the Visual Components NVIDIA Omniverse Connector creates a simulation solution for the manufacturing industry to resolve operational and planning challenges.

Upcoming Event: Join NVIDIA at Automate 2022

Upcoming Event: Join NVIDIA at Automate 2022

Join NVIDIA at Automate 2022, June 6-9, to learn about AI platforms for manufacturing, robotics, and logistics that improve efficiency, scalability, and production across industries.

View all manufacturing news

Sign up for the latest developer news from NVIDIA