Rescale

Rescale

Rescale is a cloud-based high-performance computing (HPC) platform for engineering and scientific R&D, delivering a full-stack HPCaaS solution. It integrates high-performance computing, data intelligence, and AI-physics capabilities to help engineers and scientists accelerate modeling, simulation, and innovation, bringing products to market faster.
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cloud HPC platformHPCaaSengineering simulation cloud platformAI physics simulationcomputational engineering and R&Dindustrial simulation SaaSdigital twin computing platformscientific HPC

Features of Rescale

Offers cloud-based HPC as a Service (HPCaaS), enabling on-demand access to large-scale CPU/GPU clusters for rapid computation.
Integrates over 1,000 commercial and open-source engineering, scientific, and AI software applications, supporting a wide range of modeling and simulation workflows.
With AI Physics capabilities that combine artificial intelligence with physics-based models, aimed at speeding up simulations and expanding design exploration.
Offers data intelligence solutions that unify fragmented simulation data into actionable engineering insights and strategic knowledge.
Supports intelligent resource automation and scheduling, optimizing job placement, software license usage, and hardware resource allocation.
Boasts broad ecosystem integrations, enabling connections with major public cloud providers and a wide range of engineering software tools.
Offers enterprise-grade security and governance features, including access control, data encryption, and a job management console.
Supports building and managing digital twins and automates complex multi-step engineering analyses and calculations.

Use Cases of Rescale

For aerospace and automotive engineers conducting CFD, aerodynamics, or crash-safety simulations, to run high-fidelity simulations quickly and at scale.
For semiconductor companies performing chip design and verification (RTL-to-GDSII workflows) to run electronic design automation (EDA) software.
For energy companies performing geological exploration, fluid analysis, or renewables simulations (e.g., wind turbine blades) to handle complex CAE/CFD computations.
For life science and pharmaceutical institutions performing gene research, molecular dynamics simulations, or drug discovery to handle compute-intensive bioinformatics tasks.
For manufacturing companies needing to optimize product designs, run materials testing, or build digital twins, to automate multi-disciplinary simulations.
For research institutions and universities pursuing cutting-edge topics, to access scalable, elastic HPC resources and lower the barrier to scientific research.
In sensitive-data industries (e.g., defense or certain manufacturing sectors), to run confidential compute workloads while meeting strict data security and compliance requirements.
Teams undertaking AI-driven R&D can use historical simulation data to train physics-aware AI models, enabling fast predictions and low-cost experimentation.

FAQ about Rescale

QWhat is Rescale?

Rescale is a cloud-based high-performance computing (HPC) platform that provides a full-stack HPCaaS solution. It integrates computing, data, and AI capabilities to help engineers and scientists accelerate R&D, modeling, and simulation across engineering and science domains.

QWho are the Rescale platform's primary users?

Rescale serves engineers and scientists who require performing complex computations and simulations, across industries such as aerospace, automotive, energy, semiconductors, life sciences, industrial manufacturing, as well as academia and research institutions.

QDo I need to deploy hardware and software myself to use Rescale?

No. Rescale is delivered as Platform as a Service (PaaS/SaaS); users do not need to purchase or maintain on-premises hardware or manage complex software stacks. The platform includes a large library of pre-configured software applications and elastically scalable cloud compute.

QWhat types of software and applications does Rescale support?

The platform supports over 1,000 engineering, scientific, and AI software, covering CFD, FEA, EDA, molecular dynamics, and various AI frameworks, with ongoing expansion of its software catalog.

QHow does Rescale ensure user data security and privacy?

The platform provides end-to-end encryption, authentication and access controls, and is designed to meet enterprise security requirements, with the ability to support regulated industries' data handling. For detailed security controls and compliance standards, please consult the official site.

QWhat is Rescale's pricing model?

Rescale typically uses usage-based pricing, with costs depending on the compute resources used (CPU/GPU types and quantities), software licenses, storage, and platform services. Please visit the official site or contact sales for the latest pricing.

QCan Rescale be integrated with existing on-premises HPC clusters or private clouds?

Yes. Rescale supports a hybrid cloud architecture, enabling integration with your local computing resources for unified job scheduling and management, so you can elastically scale on the cloud.

QWhat can the AI Physics feature in Rescale do?

AI Physics is a Rescale solution that combines artificial intelligence with traditional physics-based simulation models. Its goal is to accelerate simulations, help users explore a broader design space, and potentially build surrogate models from historical simulation data.