The industrial metaverse is transforming how we understand our relationship to the digital world, giving us the ability to immerse ourselves in a 3D environment for a more natural and intuitive way of visualizing digital models. As more people are looking to move beyond flat, 2D digital models for more realistic representations of their real-world assets and environments, 3D digital twins extend digital representations of objects and places those objects into 3D and spatially-aware immersive experiences. With Digital Twin solutions on AWS, you can incorporate augmented reality and virtual reality into digital twin experiences to provide a more realistic and immersive representation of a physical entity. These solutions can help improve decision-making, collaboration, and remote monitoring and maintenance.

AWS Services

Purpose-built cloud products

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Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Ansys Minerva

    Ansys Minerva secures critical simulation data, provides process and decision support, and delivers immediate benefits by connecting powerful simulation and optimization solutions to your existing ecosystem of tools and processes.
  • Ansys Fluent

    Ansys Fluent is the industry-leading fluid simulation software known for its advanced physics modeling capabilities and industry leading accuracy.
  • Prevu3D

    Prevu3D is an end-to-end solution that creates the most sophisticated 3D models in the market using any reality capture data.
  • NVIDIA RTX Virtual Workstation

    NVIDIA T4 GPUs features mixed-precision tensor processing required to deploy AI services at scale while significantly reducing operational costs T4 combined with RTX vWS supports the next generation of computer graphics and RTX-enabled applications, enabling AI-enhanced graphics and photo realistic design. NVIDIA RTX ray tracing capabilities are only available with RTX capable GPU instances (e.g. T4 Tensor Core GPU)
  • FTR for Mytaverse

    Building the business metaverse.
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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Digital Twin Framework on AWS

    This Guidance demonstrates how to leverage AWS services to create digital twins for industrial Internet of Things (IoT), spatial compute, and simulation use cases.
  • Self-Calibrating Level 4 Digital Twins on AWS

    This Guidance helps you orchestrate and deploy a Level 4 digital twin that is capable of self-calibration based on data from the physical entity and the environment.
  • Industrial Digital Twin on AWS

    This Guidance provides a set of artifacts that will guide customers in building a production monitoring architecture with AWS IoT TwinMaker and supporting services.
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