Accelerate Engineering Innovation with Rescale at IMechE Simulation & Modelling 2025
Ready to transform your simulation processes?
Unlock faster, smarter, and more scalable simulation with Rescale’s cloud platform, purpose-built for engineering R&D
Simulation and Modelling 2025
Birmingham, United Kingdom
September 30 – October 1, 2025
Transform Your Simulation Workflows with Rescale’s Digital Engineering Platform
Rescale empowers engineering teams to accelerate modeling and simulation, streamline workflows, and optimize compute spend — all from a unified cloud platform that integrates HPC, intelligent data management, and applied AI.
With Rescale, you can:
- Achieve up to 6× faster runtimes with intelligent hardware selection
- Cut workflow time by 30–50% through orchestration and automation
- Instantly access 100+ HPC architectures, including the latest GPUs and CPUs
- Gain insights with AI-powered tools and simulation metadata capture
Meet Gareth Hobson at IMechE Simulation & Modelling 2025 to explore how Rescale helps engineering leaders drive innovation, performance, and sustainability.
The Most Trusted & Secure Platform for
Cloud HPC, Data & AI
Accelerate Innovation with
Full-Stack, Turnkey HPCaaS
Flexible, automated, and secure high performance computing for any engineering and R&D application.
Transform Simulation
Data Into Insights
Raw data is useless without context. With Rescale’s unified platform, you can extract, visualize, and share insights from your simulation data. Seamlessly integrate your existing systems and workflows to achieve a comprehensive view of simulation data.
Build AI Models with the
Data You Already Have
You already have the data you need to build an AI model. With Rescale, train, deploy, and predict physics-based AI models with your existing simulation data to run simulations 1000x faster and cheaper at 99% accuracy.
Attend Our Session: Accelerate Multi-Disciplinary CAE Workflows with Digital Thread Foundations
Date: Tuesday, 30 September Time: 16:15
Navin Bagga will present how Digital Thread foundations and AI-driven methodologies are transforming multi-disciplinary CAE workflows.
The session will explore a framework that unifies historical simulation data, automates metadata capture, and leverages surrogate modeling to dramatically accelerate design validation. Using a Graph Neural Network to model the complex behavior of PEM fuel cell bipolar plates, this approach reduces traditional FEA and CFD simulation times from 48 hours to just seconds, streamlining engineering workflows, improving collaboration, and enabling faster, more informed design decisions.
