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Rescale Company Profile


944 Market Street, Suite 300
San Francisco, California, 94102
United States of America
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Rescale empowers engineers and scientists to automate and optimize their workflows on the latest specialized HPC infrastructure available. Governed by best in class security and reliability, the Rescale platform was built to enable global teams to collaborate seamlessly and manage multiple workloads across different tools.

3 Main Reasons Engineers Use Rescale:

Operational Efficiency - Automate non value adding tasks, intelligently manage software licenses, and eliminate queues to meet project timelines.

Performance and Cost Optimization - Increase model fidelity and scale in confidence with budgetary policies and Rescale’s proprietary workload optimization engine.

Turnkey Platform - Access to a single point of entry for over 600 software applications and dozens of specialized HPC infrastructure options already configured and optimized for engineering simulation.

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Rescale in the News

High Performance Computing is a massive industry ($55 billion by 2024) that is the lifeblood of research and science innovation. From supersonic jets to developing cures for pandemics – research engineers rely on HPC for algorithmically complex workloads running on massive datasets.

The Cloud Connects Real-World Data to Digital Replica

Learn how Daikin Applied is using CFD analysis via Rescale to accelerate product development and improve manufacturing.

Companies build a multi-cloud high-performance computing environment.

One of the picks will be chosen as DE’s Editor’s Pick of the Week.

Rescale Insight expands HPC market with enterprise controls for the CFO, CIO and CTO.

Rescale, Google Cloud Platform, and Microsoft Azure report they will fund millions in computing for those working on COVID-19 research.

Tradeshows cancelled due to Corona virus outbreak, Big Compute 20 tackles big issues, GPU report published, more

HPC service provider Rescale and partners host conference on use of high performance computing

Digital thread initiatives may require a mix of on-premise and cloud-based compute resources.

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