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

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...

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

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,

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

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

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

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.

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

Lawrence Berkeley, Oak Ridge, and Lawrence Livermore national laboratories propose partnering with Rescale to make DOE simulation codes accessible through agentic

How the next generation of cloud HPC is reshaping performance for digital twins and multi-physics simulation.

Watch back our May 27th webinar showcasing how AI is moving beyond experiment to add real value across engineering