Rescale

About Rescale

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> ```

What does Rescale do?

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.

Where is Rescale located?

Rescale is based in San Francisco, United States.

When was Rescale founded?

Rescale was founded in 2011.

How much funding has Rescale raised?

Rescale has raised 157400000.

Location
San Francisco, United States
Founded
2011
Funding
157400000
Employees
219 employees
Major Investors
NVIDIA, Andreessen Horowitz, Y Combinator, Bossa Invest, Gaingels

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Rescale

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Executive Summary

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.

rescale.com10K+
cb
Crunchbase
Founded 2011San Francisco, United States

Funding

$

Estimated Funding

$100M+

Major Investors

NVIDIA, Andreessen Horowitz, Y Combinator, Bossa Invest, Gaingels

Team (100+)

No team information available.

Company Description

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.

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

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.

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