Rescale

What is Rescale?

Rescale is a comprehensive cloud platform that provides flexible, secure, and automated high performance computing as a service (HPCaaS) for engineering, scientific, and AI workloads. It integrates a vast ecosystem of 1,000+ R&D software applications and advanced computing architectures, allowing organizations to run, manage, and scale complex simulations and AI models without the burden of on-premises infrastructure. With intelligent automation, robust security, and seamless workflow integration, Rescale empowers teams to accelerate product development, optimize computational resources, and drive innovation across industries.

Key Features

• Full-Stack HPC-as-a-Service

  Delivers turnkey, cloud-native HPC infrastructure and software, supporting a wide range of engineering and scientific applications with automated scaling and management.

• Unified Platform for Compute, Data, and AI

  Combines modeling, simulation, data management, and AI model development in a single platform for streamlined workflows and collaboration.

• Intelligent Resource Automation

  Optimizes workload distribution, software license usage, and hardware selection with features like license queuing, region load balancing, and coretype sets.

• Extensive Ecosystem Integration

  Supports 1,200+ software integrations and multiple cloud providers, enabling flexible deployment and compatibility with leading engineering tools.

• Enterprise-Grade Security and Compliance

  Implements full-stack encryption, authentication controls, and compliance with industry standards to protect sensitive data and workloads.

• User-Centric Automation and Visualization

  Provides intuitive interfaces for automating batch jobs, visualizing simulation results, and managing multi-step analyses with minimal manual intervention.

Use Cases

• Accelerated Product Design and Simulation : Engineers can rapidly run and scale simulations for aerospace, automotive, energy, and manufacturing applications to optimize designs and reduce time to market.
• AI-Driven Modeling and Prediction : Teams leverage existing simulation data to train, deploy, and predict with physics-based AI models, achieving faster and more cost-effective insights.
• Digital Twin and R&D Workflow Automation : Organizations can build and manage digital twins, automate computational workflows, and streamline collaboration across distributed teams.
• On-Demand HPC for Research and Academia : Researchers and educators access scalable HPC resources for scientific breakthroughs and centralized management of computational projects.
• Secure, Compliant Computing for Regulated Industries : Public sector, life sciences, and semiconductor companies run sensitive workloads securely, meeting strict compliance and data protection requirements.

FAQs