Intel® IoT industry solutions for smart manufacturing transform data into insights to improve operations and develop new revenue streams.
See how you can transform data into insights to reduce downtime, increase output, use assets better, and develop new revenue streams with Intel® IoT industry solutions for smart manufacturing.
Intel uses IoT to capture real-time factory big data for faster decision making and predictions, improving performance while opening new opportunity.
Intel's manufacturing factory uses IoT to capture real-time big data between tools and systems for faster decision making, targeted response, and predictive outcomes, improving equipment performance at lower costs while opening new opportunities.Full View >
Solution Brief: Securely connect industrial legacy devices to the IoT cloud to enable greater efficiency, prevent failure, and create new services.
Solution Brief: Securely connect commercial and industrial legacy devices to the Internet of Things cloud to enable opportunities for optimizing efficiency, preventing failure, and creating new services.
Intel products, technologies, and ecosystem help OEMs, ODMs, and SIs meet their customers’ needs and can reduce development efforts at every stage.
Intel products, technologies, and ecosystem are there to help OEMs, ODMs, and SIs meet their customers’ needs. Intel design resources can reduce your development effort at every stage.
Multi-core virtualized industrial control systems reference design details include an overview, a block diagram, and specifications.
Details for multi-core, virtualized industrial control systems reference design include an overview, a block diagram, and specifications for the “Rockbot” system.
Case study: Formosa Plastics deploys an Intel® architecture-based standardized distributed control system, boosting efficiency and reducing TCO.
Case study: Petrochemical manufacturer Formosa Plastics deploys a standardized distributed control system on NEXCOM and Intel® architecture, boosting operational and maintenance efficiency while eliminating overhead and reducing TCO.
Reference design details for the hexapod robot, evaluating Q-learning and learned-walking, include an interactive block diagram and specifications.
Details for the hexapod robot reference design, for Q-learning algorithm and learned-walking evaluation, include an interactive block diagram and specifications.
White paper: Tests show that Intel® Industrial Solutions system consolidation series can deliver interrupt latency under 20 μsec. (v.1, Jul. 2014)
White paper: This paper provides test methodologies and system configuration details to help manufacturers determine whether virtualized industrial platforms have adequate real-time responsiveness for their applications. (v.1, Jul. 2014)
Intel® SSF Reference Designs provide starting points to help HPC system vendors and purchasers specify, design, and build HPC systems. This reference design includes Intel® Xeon® processor E5-2600 v4 product family and Intel® Omni-Path Fabric.