High Performance Computing SOLUTION Overview

Power Modern Engineering with
Agility and Efficiency

Elastic Infrastructure for Engineering at Scale

Engineering teams face impossible infrastructure tradeoffs where on-premises clusters reach capacity during critical design cycles, forcing engineers to wait while manual configuration consumes time better spent on innovation. Traditional high performance computing (HPC) locks organizations into fixed capacity that sits idle between peaks yet lacks resources when demand spikes. The Rescale platform provides elastic, cloud-based infrastructure that scales to meet demand, automatically optimizing configurations while pre-configured applications eliminate setup work. The platform spans the latest architectures from multiple cloud providers with tiered storage, centralized governance, and financial controls that track spending and enforce budgets. Performance optimization happens continuously as the platform learns which configurations work best for specific workloads.

Optimize for cost, performance, and reliability on a global, multi-cloud HPC backbone.

Business Impact

HPC infrastructure directly influences engineering productivity and program timelines. Organizations running cloud-based HPC infrastructure report faster simulation turnaround, reduced infrastructure costs, and improved resource utilization.

  • 75% reduction in cost per job while improving simulation throughput by eliminating inefficient resource allocation
  • 3.3x faster simulations with time to value measured in hours rather than weeks, accelerating design iteration
  • Jobs run immediately rather than waiting in queue, removing compute bottlenecks from critical path activities

The foundational benefit is unlocking advanced capabilities. Data intelligence, AI physics, advanced modeling & simulation, and agentic engineering all build on HPC infrastructure. Organizations that establish elastic compute foundations can progressively adopt more sophisticated capabilities as needs and maturity evolve.

Why Rescale

Rescale provides production-ready HPC infrastructure purpose-built for engineering workflows.

  • Turnkey Cloud HPC: Pre-configured infrastructure with automated software delivery eliminates months of setup and configuration, getting teams productive immediately with minimal IT overhead.
  • Elastic Capacity: Scale from dozens to thousands of cores based on demand, bursting to the cloud during design peaks and scaling down between cycles to pay only for what’s used.
  • Vendor Agnostic: Support for multiple cloud providers and hardware architectures protects against lock-in while delivering enterprise-grade capabilities across entire compute portfolios.
  • Built for Advanced Workflows: Native integration with AI training pipelines, surrogate model inference, and agentic orchestration provides a foundation that grows with organizational needs.
Optimize every run with flexible hardware options across cost and performance tiers.

Use Cases

  • Cloud Bursting and Migration: Move peak workloads to the cloud while maintaining on-premises infrastructure for baseline needs, balancing capacity with cost control during design cycles.
  • GPU Acceleration: Leverage the latest hardware for CFD, AI training, and visualization workloads that benefit from GPU performance, accessing cutting-edge architectures without capital investment.
  • Application and License Management: Eliminate software configuration headaches with pre-installed applications and flexible licensing options that scale with usage.
  • Multi-Cloud Orchestration: Manage complex, multi-architecture environments across AWS, Azure, and Google Cloud from a unified platform, optimizing for cost and performance.
  • Security and Compliance: Meet enterprise and regulated industry requirements with role-based access control, audit trails, and compliance frameworks built into the infrastructure layer.

Who Benefits

  • IT and HPC Administrators: Manage infrastructure complexity while providing engineering teams with reliable, performant compute resources that scale on demand.
  • Engineering Leaders: Meet aggressive program timelines by removing compute bottlenecks and ensuring teams have resources when they need them.
  • Finance and Operations: Gain visibility into compute spending, enforce budgets, and optimize costs across teams with centralized financial management.

Learn More

Discover how cloud-based HPC infrastructure enables faster simulations, better cost control, and readiness for AI-driven engineering workflows. Learn more.

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