Flexible HPC execution
Run science and engineering workloads through a user-friendly GUI, CLI, or API, with elastic cloud infrastructure that scales to demand.
Rescale
ClaimRescale is a digital engineering platform for HPC, modeling, simulation, agentic engineering, and AI physics in one environment.
Overview
Rescale is a digital engineering platform for HPC, modeling and simulation, agentic engineering, and AI physics. It brings those capabilities into a single environment so engineering teams can run workloads, orchestrate simulations, and use simulation data to support product development.
The platform is aimed at organizations that want to accelerate discovery, design, and delivery without assembling fragmented tools. Its public pages emphasize elastic infrastructure, workflow orchestration, AI-assisted engineering, and support for science and engineering workloads through GUI, CLI, or API access.
Features
Advanced modeling and simulation
Use a unified environment for modeling and simulation with workflow orchestration that reduces setup gaps and configuration work.
Agentic engineering workflows
Automate expert workflows with agents that handle orchestration, monitoring, and first-pass analysis while engineers focus on decisions.
AI Physics modeling
Turn simulation data into surrogate models using an AI Physics operating system that supports data preparation, model deployment, and fast predictions.
Software and hardware catalog
Choose from 1,250+ pre-installed software packages and 180+ optimized hardware architectures for HPC and AI workloads.
Governance and security controls
Manage controls for budgets, access, auditing, policy enforcement, and security across data, IP, and infrastructure.
Use Cases
Elastic HPC execution
Run elastic compute for large science and engineering workloads when demand changes or projects need more capacity than local resources can provide.
Modeling and simulation workflows
Coordinate simulation workflows in a unified environment so teams can reduce manual setup, configuration problems, and tool gaps.
Agent-assisted engineering operations
Use agents to handle orchestration, monitoring, and first-pass analysis in repeated engineering tasks, leaving experts to focus on higher-value decisions.
Surrogate modeling and fast prediction
Convert existing simulation data into surrogate models for faster prediction and broader design exploration in AI Physics workflows.
Government and regulated deployments
Support regulated or government-oriented engineering programs that need stronger access controls, auditing, and compliance-oriented platform options.
Pros and Cons
Pros
- Combines HPC, modeling and simulation, agentic engineering, and AI physics in one platform.
- Supports multiple access patterns, including GUI, CLI, and API, for science and engineering workloads.
- Includes a large pre-installed software catalog and a broad set of optimized hardware architectures.
- Provides enterprise governance features such as budget controls, access management, auditing, and policy-based automation.
- Offers support packaging that includes onboarding, technical support, customer success, professional services, and deployed solutions.
Cons
- The public pages do not provide a full integration list or detailed interoperability documentation.
- Published pricing is quote-based rather than a simple posted price list, so buyers need a sales conversation to compare options.
- The site gives broad platform descriptions, but some workflow and implementation details are still sparse on the public pages.
FAQ
What does Rescale do?
Rescale is a digital engineering platform for running high-performance computing, advanced modeling and simulation, agentic engineering, and AI physics workloads. It is positioned for engineering teams that want to accelerate product development and manage simulation data and workflows in one platform.
How is Rescale priced?
The source shows pricing and platform offerings for enterprise and government customers, but it does not publish a simple self-serve price list. Rescale instead asks teams to get a customized quote based on their platform needs and support requirements.
How do teams start using Rescale?
The platform is designed for science and engineering workloads and includes access through GUI, CLI, or API on the pricing page. The source does not provide a formal setup guide, but it does mention onboarding and implementation support.
What kinds of teams is it best suited for?
Rescale's source materials emphasize simulation, workflow orchestration, AI-assisted engineering, and data handling. The available pages do not list a full public integration catalog, so fit should be checked against your software stack and workflow needs.
Does Rescale support regulated or government use cases?
Rescale’s pricing page includes enterprise and government editions, with the government edition adding higher-compliance controls such as FedRAMP authorization and ITAR support. The public pages also mention security controls, access management, and auditing.
Quick Facts
- Category
- Digital engineering platform
- Primary use
- HPC, modeling and simulation, agentic engineering, and AI physics
- Access
- GUI, CLI, and API
- Software catalog
- 1,250+ pre-installed packages
- Hardware options
- 180+ specialized and optimized architectures
- Pricing
- Customized quote