Rescale

What is Rescale?

Rescale is a cloud platform that runs engineering and science workloads on high-performance computing and GPU infrastructure. Users submit simulation jobs through a GUI, CLI or API, choose from a catalog of 1250+ pre-installed commercial and open source applications, and run on multi-cloud architectures with budget and policy controls. The platform includes an engineering-specific AI assistant called Edison, a workflow builder, and add-on offerings for agentic engineering, with pre-built agents and MCP connectivity, and for AI physics, covering dataset creation, model training, deployment and inference. Rescale lists Enterprise and Government editions, with compliance including SOC 2 Type II, GDPR, HIPAA and, for Government, FedRAMP Moderate. Prices are not published; each package is customized through a quote, and prepaid Commitment Plans can reduce On-Demand Priority compute costs.

Use cases

• Run simulation workloads in the cloud
• Train and deploy AI physics models
• Build agentic engineering workflows
• Set budgets and policies for compute spend
• Launch cloud workstations for visualization
• Query engineering data with agents

Who it's for

• Simulation engineers
• R&D organizations
• HPC and IT administrators
• Government contractors

Why use Rescale

• Runs large simulation jobs without owning HPC hardware
• Policy-based controls keep cost and performance in line with organization budgets
• Agentic and AI physics add-ons extend simulation into AI-assisted engineering
• Government edition targets federal compliance requirements such as FedRAMP Moderate
• Compute tiers cover priority, economy and committed-spend options

Rescale features

• Job submission by GUI, CLI or API
• Catalog of 1250+ engineering and science applications
• Multi-cloud HPC with 180+ GPU and CPU architectures
• Edison AI assistant for engineering
• Pre-built agents with MCP connectivity and engineer-in-the-loop checkpoints
• AI Physics model training, deployment and monitoring
• Elastic cloud workstations
• Budget controls, forecasting and spend analytics
• SSO, MFA and audit controls

Rescale integrations

• NVIDIA Physics NeMo
• Jupyter Notebook
• Blender
• Alias
• S3
• Azure

How to get started with Rescale

1. Request a quote and choose a platform edition, then add products such as Agentic Engineering or AI Physics.
2. Select software from the catalog and submit jobs by GUI, CLI or API.
3. Choose a compute tier, such as On-Demand Priority or On-Demand Economy, and set budgets and policies.
4. Monitor results and spend, and reduce costs with a Commitment Plan if usage is steady.

Rescale limitations

• Prices are not published; packages are customized by quote
• Commitment Plans apply only to On-Demand Priority workloads, and unused commitment does not carry forward
• Enterprise-oriented, with onboarding and support packages sold separately

Rescale pricing

Rescale is sold on custom quotes, so its prices aren't published.

Rescale plans

• Enterprise

  Custom

  customized quote

  • Modeling and simulation via GUI, CLI or API
  • 1250+ pre-installed applications
  • Financial controls and reporting
  • Security and access controls

• Government

  Custom

  customized quote

  • Everything in Enterprise
  • FedRAMP Moderate
  • ITAR
  • NIST 800-53

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Rescale alternatives

The main Rescale alternatives listed on Debuly are DataRobot, Anyscale, runAtlas, Agent Development Kit (ADK), Claude Managed Agents and Cognee. The table compares pricing and platforms; order is A–Z.

1. 

   Agent Development Kit (ADK)

   Google's open-source, code-first Python framework for building, testing and deploying AI agents and multi-agent workflows.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Agent Development Kit (ADK) (official site)
2. 

   Anyscale

   Managed platform for running Ray workloads, with pay-as-you-go compute and options to deploy in your own cloud.

   Developer platformsAutomation and agents
   PaidVisit Anyscale (official site)
3. 

   Claude Managed Agents

   Anthropic's hosted agent harness for long-running, asynchronous tasks: define an agent, pick a sandbox, start a session and stream results.

   Developer platformsAutomation and agentsCoding
   PaidVisit Claude Managed Agents (official site)
4. 

   Cognee

   Open-source memory engine for AI agents that combines vector search, knowledge graphs and relational storage, with a hosted cloud.

   Developer platformsAutomation and agentsResearch and search
   FreemiumVisit Cognee (official site)
5. 

   DataRobot

   Enterprise AI platform to build, deploy, monitor and govern predictive and generative AI models and agents, with a 30-day free trial.

   Developer platformsAutomation and agents
   Contact salesVisit DataRobot (official site)
6. 

   runAtlas

   Enterprise AI stack with an OpenAI-compatible inference API, voice models, agent runtime and a security gateway.

   Developer platformsAutomation and agentsAudio and voice
   FreeVisit runAtlas (official site)

Rescale FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from rescale.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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