Rescale - Digital Engineering Platform for HPC and AI-Accelerated R&D
Rescale · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Rescale advances innovation and R&D by providing a comprehensive digital engineering platform. It integrates high-performance computing (HPC) in the cloud, intelligent data management, and applied AI to accelerate modeling and simulation.
The Challenge for Engineering Teams:
Show the rest of the publisher’s description (22 more lines)
Engineering and R&D teams face pressure to innovate faster while dealing with fragmented technology stacks, data silos, and aging infrastructure. Legacy on-premises systems struggle to support modern AI methods or scale with dynamic requirements. Organizations need to democratize simulation, leverage historical data, and implement AI-accelerated workflows; however, current tools make this process prohibitively complex and limit productivity.
The Rescale Solution on AWS:
Rescale's platform automates the interactions between software, HPC infrastructure, visualization, and data management. By leveraging AWS's elastic infrastructure, Rescale delivers a modern digital engineering environment designed to meet the demands of today's R&D organizations.
Embedded AI and Agentic Automation:
Generative AI is embedded to augment engineer productivity. AI-powered exploration expands the design solution space, enabling engineers to characterize 4x more design configurations in parallel. Intelligent automation optimizes compute resources for every workload, reducing IT and resource costs by up to 51% compared to DIY cloud approaches and freeing engineers from infrastructure management.
Complete Application Ecosystem:
Access the world's largest network of 1,250+ pre-integrated R&D applications (CFD, FEA, molecular dynamics, EDA, etc.) and 130+ hardware configurations optimized for peak performance. Deploy across AWS regions globally with seamless infrastructure orchestration, all ready to run without lengthy setup.
Unified Data Fabric for Digital Thread:
Automatic data tagging enables an end-to-end digital thread for product development. This breaks down data silos and puts simulation data into an actionable context with intelligent data management. Rescale's integrated data fabric supports traceability, enabling faster decision-making and making historical simulation data a strategic asset for future AI deployments while maintaining governance.
Industry-Leading Security & Governance:
Implement policy-driven environments across global divisions with continuous security assessments and compliance accreditation. Rescale meets the requirements of highly regulated industries (aerospace, defense, life sciences) by providing robust IT governance while empowering engineers with self-service capabilities.
Rapid Deployment &Continuous Innovation:
Rescale's SaaS deployment model means implementation in days, not months, with no infrastructure management overhead. Its ephemeral-by-design architecture optimizes cloud economics. Customers receive continuous platform innovation and seamless access to the most current infrastructure from AWS.
Proven Business Impact. Organizations using Rescale on AWS achieve measurable results:
- 3-5x acceleration in time-to-answer and R&D cycle time
- 65% reduction in engineering wait time for computing
- 4x more design possibilities explored through AI Physics predictions
- 85% cost reduction for full-stack simulation workloads
- 45% improvement in software license utilization
- 6-month reduction in solution deployment and project timelines
Rescale serves engineering leaders, R&D teams, IT administrators, and C-level executives across various industries, including aerospace, automotive, life sciences, energy, and semiconductor, modernizing their simulation strategies while dramatically improving team productivity.
For custom pricing, EULA, or a private contract, please contact sales@rescale.com to request a private offer.
Highlights
Highlighted by the publisher on AWS Marketplace.
Turnkey Deployment with Pre-Configured Applications and Infrastructure - Access a fully-integrated stack of ready-to-deploy applications and computing architectures without installing or building from scratch. Engineers and scientists launch simulations in minutes using familiar tools, while administrators maintain control through centralized policies. Rescale manages technical operations, allowing your team to focus on innovation without the need to manage complex HPC environments.
Automated Workload Optimization and Cost Management - The platform automatically matches specialized HPC and AI workloads to the most efficient AWS architectural configurations based on cost-performance data. Scale computing resources up or down based on project demands, paying only for what you use. Organizations typically reduce infrastructure costs by 50%+ compared to managing cloud resources themselves.
Unified Data Management and Intelligent Search - Automatically tag and organize simulation data at creation to establish an end-to-end digital thread across your product development process. Query project and operational data using natural language to quickly find relevant simulations, parameters, and results. Transform isolated data into connected, searchable intelligence with full context and traceability while maintaining complete ownership and governance of your engineering IP.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
No refunds or cancellations.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.