Meet Rescale at Teratec 2024 Conference!

Booth #C14 | May 29-30 | Paris, France

Join us at Teratec 2024 to explore the future of engineering simulations! Organizations grappling with computational challenges can discover cutting-edge solutions in our live sessions.

Delve into AI-driven tools, machine learning, and data analytics to unlock efficiency in R&D workflows. From accelerating simulations to optimizing designs, our sessions showcase real-world success stories. Book a meeting with us to revolutionize your engineering processes. Elevate your capabilities with Rescale’s cloud-based platform, empowering 10x faster simulations without resource queueing. Explore how Rescale turbocharges Digital Twin, MDO, and CAE projects, enabling high-fidelity prototypes and unlimited iterations.

Connect with us at Teratec 2024 and don’t miss our exclusive session; Technologies, applications and uses of the future on Thursday May 30 from 9am -10.30 am CET.

Set an In-Person Meeting or Book a Virtual Demo

Explore Rescale's Activities at Teratec Conference

Technologies, applications and uses of the future

Thursday May 30 from 9am -10:30 a.m. CET.

Speaker: Romain Klein, Technical Director, Rescale

Join Workshop 8, Technologies, applications and uses of the future. Led by Frédéric Pariente (Nvidia), Christian Saguez (Teratec) and Thierry Collette (Thales) and Romain Klein (Rescale) as they exploring the challenges and possibilities AI Physics to accelerate breakthroughs across industries.

Speaker: Guillaume Trainar, Enterprise Director, Rescale

Rescale will join AWS in exploring three distinct approaches to deploying tailored HPC environments, examining diverse architectures for cloud-based HPC. See real-world cases demonstrating how cloud HPC can be optimally adapted, considering security maturity, performance, and flexibility.

Stop by Rescale Booth C14

Discover how to run advanced simulations 10x faster in the cloud using AI-enabled science and engineering. 

Visit Rescale in the exhibition hall from May 29-30.





Meet our experts

Schedule a 1-1 briefing with one of our team members to discuss your digital transformation needs.

Rescale’s High Performance Computing (HPC) Built for the Cloud delivers solutions for the toughest problems facing scientists, researchers, and engineers.

Guillaume Trainar
Enterprise Director
Romain Klein
Technical Director EMEA
Elina Kokkonen
Business Development, EMEA

Your Partner in Digital Engineering

Learn how Exponent, Sensatek, and Liberty University are using Rescale to accelerate innovation with computational science and engineering.

Reimagine the Possibilities of AI-Enabled Science and Engineering

Rapid Vaccine Development & Drug Discovery

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Accelerated Genome Analysis and Personalized Medicine

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Space Exploration & Supersonic Travel

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Digital Twin &
Surrogate Modeling

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AI-informed Manufacturing Process Optimization

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Autonomous, Electrified, and Connected Vehicles

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Any Software

Always Up-to-date

Accessible from Anywhere

  • Latest & prior versions of 1000+ software from over 60 ISVs
  • Pre-installed software and optimized for the cloud
  • Easy to migrate or extend workflows to the cloud
  • Predictive analytics, Machine learning tool sets for Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), Electromagnetics (EM)

Intuitive, Time-saving User Interface

Rescale automates cloud HPC complexity, making job submission as easy as a few clicks

Rescale empowers organizations to achieve science and engineering breakthroughs by eliminating complexity. From supersonic jets to personalized medicine, industry leaders accelerate new product innovations with unprecedented speed and efficiency with the Rescale Platform - a solution for intelligent full-stack automation for big compute and R&D collaboration on hybrid cloud. Rescale enables IT leaders to deliver high performance computing as a service, with software automation on a hybrid cloud control plane with security, architecture, and financial controls. Learn how you can modernize high performance computing at Rescale.com

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