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HiLiftAeroML Open Dataset Accelerates AI Physics Model Adoption
Develop aerodynamic AI Physics models with HiLiftAeroML, an open-source dataset now available natively within Rescale AI Physics. Built from surface-based simulation data across four geometries and multiple angles of attack, it gives engineers a practical starting point for training AI surrogate models without first assembling and building their own dataset.
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Agentic Multi-Disciplinary Design Exploration with Ansys CFX and Mechanical
Connect CFD insight to downstream engineering decisions with an agentic Ansys CFX and Mechanical workflow on Rescale. The workflow combines the power of agentic engineering with deterministic simulation across multiple disciplines, analyzing a completed CFX design study, identifying key parameters and data gaps, kicking off follow-on studies, and then brings CFX pressure loads into Mechanical so hydraulic and structural results can be evaluated together.
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Coreweave Multi-node Workload Support
Rescale has now extended its job submission environment to support multi-node MPI and Kubernetes-based workloads running on CoreWeave Cloud, bringing enterprise-grade HPC capabilities to a cloud infrastructure option that offers meaningfully lower cost for large-scale simulation. The capability has been validated end-to-end across multi-node configurations, with stability confirmed through scale testing and initial production use with enterprise customers.
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Simulation Guide Agent: Expert Guidance for Every Engineer, Tailored to Any Workflow
Make simulation expertise easier to access across your organization. Rescale’s Simulation Guide Agent uses trusted technical documentation, user guides, templates, and team best practices to help users ask better questions, interpret results, select an appropriate workflow, configure jobs correctly, and verify recommendations before taking action, all within the existing simulation workflow on Rescale.
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Agent Foundations: The Building Blocks of Agentic Engineering Success
Rescale’s purpose-built platform agents embed agentic actions into existing workflows, creating a trusted path towards end-to-end agentic engineering processes.
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Predictive Maintenance Digital Twins: Connect Simulation, Python, and Machine Learning
Build digital twin workflows that connect simulation and machine learning in one engineering process. Rescale helps teams move beyond isolated analyses by linking physics-based simulation, custom code, and data-driven models so digital twin initiatives can become more practical, repeatable, and useful in day-to-day engineering work.
