Rescale provides a cloud-based high-performance computing platform that enables scientific and engineering simulations with customizable resources tailored to specific workloads. This platform reduces turnaround times and enhances data insights, allowing organizations to optimize their research and development processes efficiently.
Funding
$157.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+13Founders
Product
Problem
Many organizations face challenges in efficiently managing and scaling their high-performance computing (HPC) resources for complex scientific and engineering simulations. On-premises HPC infrastructure can be expensive to maintain, difficult to scale, and may lack the flexibility to adapt to evolving workload requirements. This can lead to bottlenecks, delays in research and development, and increased costs.
Solution
Rescale offers a cloud-based HPC platform that provides on-demand access to scalable computing resources, pre-installed software, and a secure environment for running simulations. The platform abstracts away the complexities of infrastructure management, allowing users to focus on their core research and development activities. Rescale provides a comprehensive suite of tools for workload orchestration, data management, and AI-driven insights, enabling organizations to accelerate innovation, optimize performance, and reduce costs. By leveraging a flexible cloud-native architecture, Rescale empowers engineers and scientists to tackle complex challenges across various industries, including aerospace, automotive, energy, and life sciences.
Target Audience
Rescale targets organizations in industries such as aerospace, automotive, energy, life sciences, and semiconductor, as well as research institutions and government agencies that require high-performance computing resources for scientific and engineering simulations.
Features
- On-demand access to a wide range of computing resources, including CPUs, GPUs, and specialized hardware architectures
- Pre-installed library of 1,200+ licensed, open-source, and custom simulation software applications
- Automated workload orchestration and workflow automation capabilities for streamlined simulation processes
- Secure, collaborative environment for data management, analysis, and sharing
- AI-driven tools for design optimization, predictive modeling, and real-time inference
- Integration with popular cloud service providers, including AWS, Azure, and Google Cloud
- Support for hybrid cloud deployments, enabling organizations to leverage both on-premises and cloud resources
- Full-stack encryption and authentication controls with support for industry compliance standards