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Simulation Monitoring Automation
Detect diverging and stalled simulations in real time, before they waste hours of compute. The Simulation Monitor automation runs alongside iterative solver jobs on Rescale, providing a live dashboard with residual plots, tabular data switching, and automated CSV exports without requiring an interactive workstation. It supports Ansys Fluent, STAR-CCM+, and CFX today, with a plugin-based framework designed for fast extension to additional solvers.
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How Rescale Data Connectors Harness Historical Engineering Datasets to Unlock Simulation Breakthroughs
Connect, find, and use external engineering data more easily on Rescale. Engineering data rarely lives in one place. Simulation inputs, reference documents, program files, and…
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Open-source AI Datasets for AI Physics Model Training
Start training surrogate models faster with open-source AI Datasets now available in Rescale AI Physics. Engineers can now train models directly from the DrivAerML dataset, a subset of the high-fidelity open-source public dataset for automotive aerodynamics based on 500 parametrically morphed variants. Providing a great way to get started with AI Physics without having to first generate your own simulation dataset.
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Q2 News | Agentic Digital Engineering, Platform Highlights and More
Engineering teams can now put AI-first engineering into practice on Rescale — with new capabilities across agentic digital engineering, AI physics, and compute economics that streamline routine workflows, operationalize AI-assisted product development, and make smarter tradeoffs between speed, throughput, and cost.
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GeoTransolver AI Model Architecture Integration for CFD Applications
Power complex and high-accuracy AI surrogate models for CFD and FEA with GeoTransolver model architecture. Now available in Rescale AI Physics as part of the NVIDIA PhysicsNeMo library, GeoTransolver is a geometry-aware transformer architecture that uses GALE attention to model relationships across complex 3D geometries and unstructured meshes. It is designed to generalize across changing operating conditions and learn transient, geometry-aware physical behavior, making it well-suited for surrogate models that need to predict aerodynamic, structural, or deformation behavior across a range of design variants.
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AWS 및 Azure 관련 기술 자료 지원
모든 데이터를 한 곳에서 연결하고 상호 작용하세요. Rescale은 이제 AWS S3 및 Azure Blob Storage에 저장된 엔지니어링 데이터를 벡터화된 검색을 통해 Rescale Assistant에 직접 연결합니다. 연결되면 엔지니어는 자연어로 질문하고 일반적인 AI 지식이나 수동 파일 검색에만 의존하는 대신 조직 자체 데이터에서 추출한 빠르고 맥락에 맞는 답변을 받을 수 있습니다.
