Developer Resources for Manufacturing and Industrial Applications

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

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.

LEARN ABOUT THE HPC SDK

The NVIDIA SimNet toolkit addresses the challenges associated with AI-driven physics simulations and complex non-linear physics problems.

ACCESS SIMNET FOR PHYSICS

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

Computer Vision

Pre-trained models for computer vision and the Transfer Learning Toolkit enable quick development and adaptation of highly accurate AI models to your use-cases.

ACCESS PRE-TRAINED MODELS

NVIDIA DeepStream lets you build and deploy AI-powered intelligent video analytics apps and services.

LEARN ABOUT DEEPSTREAM

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.

ACCESS 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

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.

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

JOIN US AT GTC

Explore 100+ sessions covering collaborative design, EDA, simulation, visualization, and the AI-enabled factory at NVIDIA GTC from April 12-16.

Register for Free

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.

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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.

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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.

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Accelerating Vision AI Applications Using NVIDIA Transfer Learning Toolkit and Pre-trained Models

Learn how to make the process of creating vision AI models quicker and easier with NVIDIA Transfer Learning Toolkit and pre-trained models.

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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.

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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
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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.


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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™.


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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.


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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 >

PROGRAMS FOR YOU

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.

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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.

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NVIDIA Manufacturing News


Explore Deploying and Optimizing Industrial-Scale AI at GTC

Explore Deploying and Optimizing Industrial-Scale AI at GTC

Many topics will be covered including solutions in computational fluid dynamics, predictive maintenance, inspection, and factory logistics across Industrial Manufacturing, Aerospace, Oil and Gas, Electronic Design Automation, Engineering Simulation, and more.

On Demand Webinar: Limitless Capabilities of NVIDIA CloudXR 2.0

On Demand Webinar: Limitless Capabilities of NVIDIA CloudXR 2.0

Learn how NVIDIA CloudXR can be used to deliver limitless virtual and augmented reality over networks (including 5G) to low cost, low-powered headsets and devices

New on NGC Catalog: Samsung SDS Brightics, an AI Accelerator for Automating and Accelerating Deep Learning Training

New on NGC Catalog: Samsung SDS Brightics, an AI Accelerator for Automating and Accelerating Deep Learning Training

The Kubernetes-based, containerized application, is now available on the NVIDIA NGC Catalog – a GPU-optimized hub for AI and HPC containers.

GTC Digital Demo: Accelerating Scientific & Engineering Simulation workflows with AI

GTC Digital Demo: Accelerating Scientific & Engineering Simulation workflows with AI

A new demo introduces the recently announced NVIDIA SimNet Toolkit, the first multi-physics (CFD and Heat Transfer) analysis using physics-informed neural networks.



View all manufacturing news

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