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Artificial Intelligence

Rescale

Cloud-Based High-Performance Computing for Engineering Simulation & AI Workloads

4.8 / 5 Rating
ISO 27001, SOC 2 Type II
Cloud-Based High-Performance Computing for Engineering Simulation & AI Workloads
ISO/IEC 27001:2022
Category
High-Performance Computing (HPC) / Engineering Simulation Platform / Cloud Compute
Ideal For
Engineering Teams, R&D Organizations, Manufacturing, Automotive, Aerospace, Energy, AI Research
Deployment
Cloud (SaaS), Hybrid Cloud
Integrations
100+ Apps
Security
Isolated compute environments, encrypted workloads, enterprise access controls
API Access
Job API, Data API, Workflow Automation API

About Rescale

Rescale is a leading cloud-based high-performance computing (HPC) platform that enables engineering and R&D teams to run complex simulations, AI workloads, and data-intensive computations without managing on-premise infrastructure. By providing on-demand access to scalable compute resources, Rescale accelerates innovation while reducing infrastructure cost and operational complexity. The platform supports a wide range of simulation workloads including CFD, FEA, electromagnetics, molecular dynamics, AI/ML training, and digital twin modeling. Engineers can run simulations using familiar commercial and open-source solvers while leveraging elastic cloud compute, advanced scheduling, and performance optimization. Rescale also enables collaboration, versioning, and result sharing across distributed teams. AiDOOS enhances Rescale by managing environment setup, solver configuration, job orchestration, workflow automation, data pipelines, and integration with PLM, CAD, and analytics systems. AiDOOS also supports migration from on-prem HPC, cost optimization strategies, performance tuning, and governance frameworks. Together, Rescale + AiDOOS deliver a powerful, scalable HPC ecosystem that empowers engineering teams to innovate faster, simulate more accurately, and scale compute resources efficiently.

Challenges It Solves

  • On-premise HPC infrastructure is expensive and inflexible.
  • Engineering simulations require massive compute scalability.
  • Managing solvers, licenses, and environments is complex.
  • Long simulation queues delay innovation cycles.
  • Cost visibility and optimization are difficult in HPC workloads.

Proven Results

68%
Faster simulation turnaround times
52%
Reduced infrastructure and maintenance costs
41%
Improved engineering team productivity

Key Features

Core capabilities at a glance

Elastic Cloud HPC

Scale compute resources on demand

Faster simulations

Multi-Solver & License Support

Run commercial and open-source solvers

Flexible workflows

Workflow Automation & Scheduling

Automate complex simulation pipelines

Reduced manual effort

Collaboration & Data Management

Share results securely across teams

Better collaboration

Performance & Cost Optimization Tools

Optimize compute usage and spend

Lower operational costs

Ready to implement Rescale for your organization?

Real-World Use Cases

See how organizations drive results

Engineering Simulation & Analysis
Run CFD, FEA, and multiphysics simulations at scale.
58%
Faster design validation.
AI & Machine Learning Training
Train large models using GPU-enabled HPC clusters.
44%
Reduced training time.
Digital Twin & R&D Modeling
Simulate real-world systems and scenarios.
36%
Better predictive accuracy.

Integrations

Seamlessly connect with your tech ecosystem

A

ANSYS / Siemens / Dassault

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Engineering solvers

O

OpenFOAM / LAMMPS

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Open-source simulation

A

AWS / Azure / Google Cloud

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Infrastructure backbone

M

MATLAB / Python

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Post-processing & analytics

P

PLM Systems

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Engineering data integration

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

Alternatives & Comparisons

Find the right fit for your needs

Capability Rescale GYAANi – GenAi Powe… Roseman Labs Blackbird.AI
Customization Excellent Excellent Excellent Good
Ease of Use Good Good Good Good
Enterprise Features Excellent Excellent Excellent Excellent
Pricing Good Fair Fair Fair
Integration Ecosystem Excellent Excellent Good Good
Mobile Experience Fair Good Fair Fair
AI & Analytics Excellent Excellent Excellent Excellent
Quick Setup Good Good Good Good

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Frequently Asked Questions

How does AiDOOS help migrate workloads to Rescale?
AiDOOS handles solver setup, environment configuration, data migration, and validation.
Can AiDOOS optimize HPC costs on Rescale?
Yes — through workload profiling, scheduling optimization, and resource right-sizing.
Does Rescale support commercial engineering solvers?
Yes — AiDOOS manages licensing and solver configurations.
Can Rescale handle AI and ML workloads?
Absolutely — AiDOOS configures GPU clusters and training pipelines.
How does AiDOOS support HPC governance?
By implementing access controls, usage policies, and monitoring dashboards.
Is Rescale suitable for regulated industries?
Yes — AiDOOS aligns deployments with compliance requirements.
Can Rescale replace on-prem HPC entirely?
Yes — AiDOOS designs hybrid or full-cloud HPC strategies.