Compute

Rescale Compute is the core of Rescale’s integrated digital engineering platform, offering automated and optimized high-performance computing (HPC) for engineering and scientific modeling and simulation. Designed as a turnkey solution, it provides cloud-native capabilities that are intuitive, flexible, and easy to manage, enabling unlimited scalability with AI-driven optimization to speed up research and development cycles. It is secure by design, ensuring high compliance across any cloud environment.

With Rescale Compute, users can leverage the extensive scale and adaptability of the cloud to handle engineering and scientific workloads of any size and complexity efficiently. The platform automates large-scale batch simulations and design of experiments (DOE) while supporting multi-physics workflows seamlessly. Users can access high-performance Elastic Cloud Workstations for pre- and post-processing, solving, and 3D visualization, all available in-browser from anywhere, providing the experience of a high-powered desktop or supercomputing cluster.

The platform includes a vast catalog of over 1,250 HPC and AI software packages, with tens of thousands of versions pre-installed and optimized. Rescale automates the versioning, licensing, and optimization of commercial, open-source, and in-house solvers and frameworks, allowing R&D and IT teams to streamline workflows with performance tuning and standardized methods at cloud scale.

Rescale Compute supports any architecture and any cloud, offering seamless access to the largest network of hyperscale and specialty clouds, or allowing users to bring their own preferred cloud tenant. It provides over 180 specialized CPU and GPU architectures, automatically optimized with AI configuration recommendations and proprietary performance intelligence. Intelligent automation ensures that every workload is tuned for peak performance, lowest cost, and maximum sustainability.

The platform's storage solutions are purpose-built for HPC and AI, featuring parallel file systems, object storage, and other data stores that are seamlessly connected across clouds. Data is automatically organized as it is created, enabling efficient management with optimal performance. IT teams can configure storage tiers to balance speed, cost, and reliability while setting policies for role-based access and adhering to leading security and compliance standards.

Rescale Compute offers comprehensive IT management capabilities, providing full-stack governance and policy-based automation to ensure end-to-end security, high compliance, and optimal cost-performance. IT leaders can manage complex environments with multiple clouds, teams, projects, and applications through a single administrative interface, driving efficiency and agility.

Financial management features include intelligent cost optimization across projects and resources, offering complete financial clarity with fine-grained analytics and budget controls. Users can set budget allocations, track consumption, and measure the impact of every workload with automated cost-performance optimization. The platform helps reduce spending and monitor usage across teams and projects through dedicated workspaces, using policies and alerts to manage budgets and forecast resource needs effectively.

AI-powered optimization ensures that every workload is matched to the ideal software and hardware pairings for peak performance and lowest cost. Proprietary intelligence and recommendation engines continuously eliminate bottlenecks, optimize configurations, and monitor jobs in real-time, enabling teams to achieve faster results with greater efficiency.

Rescale Compute has been instrumental in accelerating digital transformation for companies like Eaton, which uses the platform to optimize digital solution development and accelerate R&D of new Industry 4.0 technologies. The platform supports Eaton’s cloud-first strategy, equipping engineering teams with intelligent computing solutions while maintaining secure, compliant, and policy-driven governance across all regions and divisions.