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    Rescale

    Rescale

    Accelerate engineering breakthroughs with cloud HPC, data intelligence, and AI.

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    Description

    Rescale is a cloud-based high-performance computing (HPC) platform that helps engineering and R&D teams run complex simulations, manage data, and apply AI without having to build or maintain their own supercomputing infrastructure. It brings together compute, data, and AI in one place so organizations can optimize simulations, turn fragmented engineering data into insights, and train physics-based AI models using the data they already have. Rescale is used by innovative companies across industries such as aerospace, automotive, energy, semiconductors, life sciences, manufacturing, and the public sector to speed up product development and reduce cost and complexity.

    Key Features

    • Cloud HPC as a service: Flexible, automated, and secure high-performance computing delivered through the cloud for a wide range of engineering and R&D applications, without on‑premise hardware complexity.
    • Data Intelligence for simulations: Tools to automatically capture, organize, and enrich simulation data into a connected “digital thread” so teams can analyze results faster and make better product decisions.
    • AI for engineering models: Ability to train, deploy, and run physics-based AI models on existing simulation data to achieve up to 1000x faster and cheaper predictions at high accuracy levels.
    • Full-stack ecosystem and security: Over 1,250 integrations, cloud-native architecture with multi-cloud support, and enterprise-grade security with full-stack encryption, monitoring, and compliance controls.

    Use Cases

    • Engineering simulation at scale: Run large, complex simulations for aerospace, automotive, energy, semiconductors, and manufacturing to explore more design options and improve performance and safety.
    • R&D data and AI workflows: Connect simulation data across tools, build AI models from historical runs, and use insights to accelerate product design and innovation in industries like life sciences and higher education.
    • Cloud transformation for HPC: Migrate or extend on-premise HPC to the cloud with centralized control over applications, licenses, hardware resources, and costs for IT and HPC teams.
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