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Engineering the Future Forward
Exploring the latest digital enginering use cases, industry trends, and Rescale platform innovations.
What’s New in Digital Engineering
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Automated CAD-to-CFD Design Loops with Data Lake Integration
Shorten the loop between design changes and aerodynamic insight. Rescale can connect updated CAD inputs, CFD workflows, and engineering data pipelines so new designs automatically trigger analysis, feed results into a shared data foundation, and return faster feedback to the teams shaping the product.
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Parametric Optimization via Local AI Inference
Explore more design options faster with local AI Physics inference. Rescale’s inference tooling lets engineers connect geometry, surrogate models, and outputs in a lightweight design workflow so they can run parametric studies and optimization loops directly on their own device (e.g. local workstation) without needing inference servers or HPC clusters.
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File Sharing Across Multi-Step Simulation Workflows
Move files across multi-step workflows without manual hand-offs or separate storage setup. Rescale Workflows can now use cloud storage to pass files directly between job and workstation steps, helping engineering teams keep preprocessing, solve, and post-processing stages connected inside one reusable workflow.
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Compute Economics: How Engineering Teams Spend Smarter on Rescale
Rescale’s novel cost controls help engineering and IT leaders reduce computing spending while preserving the benefits of cloud–all without changing the way engineering teams work.
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Agent-Accelerated Computational Chemistry
Accelerate computational chemistry workflows with agentic support for molecular dynamics simulation on Rescale. Agents help researchers analyze results, propose next steps, configure new simulations, and critique outcomes with scientific context preserved, connecting HPC execution, scientific analysis, historical knowledge, and job setup into one guided workflow that keeps the researcher in control.
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AI Physics for Automotive Crash and Structural FEA Simulations
Build surrogate models for crash and structural simulation with Rescale’s integrated AI Physics workflow for transient FEA data. The updated crash use case brings GeoTransolver support for transient behavior, solver-specific metadata extraction, and training-ready formatting into one reusable pipeline—helping engineers move toward faster crash insight with less manual setup.
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Evaluation Framework for Engineering Agents
Deploy engineering agents with confidence with Rescale’s agent evaluation approach, anchored by the Rescale Agent Fidelity Toolkit (RAFT). Rescale RAFT combines response scoring, tool-use validation, ground-truth checks, and continuous monitoring to systematically verify that agents deliver relevant answers and take correct actions, providing the quality discipline that production agentic engineering demands.
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Rescale Interlink: Open-Source Data Transfer and Job Management
Move simulation data between your desktop and the cloud faster with Rescale Interlink, an open-source hybrid CLI and GUI tool for managing files and jobs on Rescale. FIPS 140-3 compliant and available on Windows, Mac, and Linux, Interlink delivers multithreaded parallel transfers, a visual file browser, auto-download of completed job results, and full job submission,…
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Agent-Driven Simulation Troubleshooting
Resolve simulation failures in minutes, not hours. Rescale’s Job Troubleshooting Agent analyzes solver logs, pinpoints the failure, explains what went wrong in plain language, and recommends corrective actions, all within the Rescale Assistant. Engineers review and approve fixes before resubmission, keeping human judgment in the loop while eliminating the manual overhead of failure diagnosis.
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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…
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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 supporting context often sit across cloud object stores, SharePoint libraries, and other enterprise systems. That fragmentation slows teams down, especially when engineers need to find the right file quickly, attach…
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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…
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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…
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Knowledge Base Support on AWS and Azure
Connect and interact with all your data in one place. Rescale now connects engineering data stored in AWS S3 and Azure Blob Storage directly to the Rescale Assistant through vectorized search. Once connected, engineers can ask natural language questions and receive fast, contextually grounded answers drawn from their organization’s own data, rather than relying only…
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Agentic Simulation Report Generation
Presentation-ready reports in minutes vs. hours. Rescale’s Report Generator Agent eliminates the gap between raw results and structured reporting. Once a simulation study is complete, the agent takes the results data and automatically generates a report aligned to a customer’s own reporting templates, including findings, relevant charts, and recommendations.
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Agent-Driven Financial Admin Workflows
Track and manage compute budgets in real-time. Rescale’s Budget Control Agent gives engineering and IT teams a proactive way to manage compute spend.
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AI Physics Local Inference App with Native Windows, Mac, and Linux Support
The Rescale AI Physics Local Inference App gives engineers a native desktop application for Windows, Mac, and Linux that works directly with AI models trained on the Rescale platform. Engineers can browse available models, install lightweight inference packages, and run predictions on their own hardware without an active cloud session.
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Powering the Next Generation of R&D: Amazon EC2 Hpc8a Instances Are Generally Available on Rescale
How the next generation of cloud HPC is reshaping performance for digital twins and multi-physics simulation.
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NAFEMS Americas 2026: How Engineering Teams are Integrating Agents and AI Physics into CAE Workflows
The 2026 NAFEMS Americas conference made it clear that the conversation on AI for digital engineering has shifted into high gear. A year ago, sessions on AI in simulation were largely exploratory. This year, a striking share of the program was devoted to AI deployment, what’s working, what’s not, and what comes next. AI applied…