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Guide to AI-First Engineering
Learn how leading teams are shifting to AI-first engineering by connecting simulation data, AI Physics workflows, and agentic automation to…
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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

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

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

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

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.

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

Multi-stage Simulation Workflows for Computational Chemistry
Run multi-stage computational chemistry workflows without manual handoffs between steps. Rescale helps research teams connect simulation stages, compute environments, and downstream analysis so complex studies move forward in a more repeatable, scalable

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

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

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

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.

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,