Case Studies Amogy Accelerates Clean Energy Technology for Sustainable Heavy Transportation with HPC Built for the Cloud
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Amogy Accelerates Clean Energy Technology for Sustainable Heavy Transportation with HPC Built for the Cloud

Analytics & Modeling - Predictive Analytics
Infrastructure as a Service (IaaS) - Cloud Computing
Transportation
Discrete Manufacturing
Product Research & Development
Energy Management System
Predictive Maintenance
Cloud Planning, Design & Implementation Services
Data Science Services
Amogy, a clean energy company, is developing an ammonia-based power system to fuel heavy-duty transportation vehicles as a solution to reduce greenhouse gas emissions. The company relies heavily on computational research using high-performance computing to test multiple models under varying conditions. However, as the volume and fidelity of their simulations increased, they faced challenges in meeting their aggressive R&D deadlines due to long queue and solve times. They needed a high-performance computing solution that could be quickly implemented, did not require extensive IT support, and could support a variety of use cases.
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Amogy is a clean energy company based in Brooklyn, NY. Founded in 2020, the company is focused on developing hydrocarbon alternatives for heavy-duty transportation, which contributes 10% of greenhouse emissions annually. The company's solution combines advancements in hydrogen fuel cells with the advantages of ammonia as a fuel source. The team, led by CEO Seonghoon Woo and composed of former MIT PhDs, aims to deliver a turnkey clean energy solution that can be easily integrated into existing vehicles. By 2040, they expect to be able to reduce 10% of global greenhouse gas emissions.
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To overcome the challenges of long queue and solve times, Amogy began to search for a cloud-based high-performance computing solution. They selected Rescale as a complete HPC-as-a-Service solution due to its overall user experience. Rescale increased Amogy's engineering productivity by 3-5x by increasing their computational capacity and reducing queue times to zero. Additionally, the team discovered that they could optimize their applications by running on different hardware, ultimately reducing their infrastructure costs. Rescale's intuitive interface, end-to-end job monitoring, and easy-to-use templates helped to streamline the team's day-to-day work.
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Rescale's solution provided a 3-5x increase in engineering and scientific simulation solve speed, which significantly improved productivity.
The solution reduced queue times to zero, allowing the team to work more efficiently.
The team was able to optimize their applications by running on different hardware, which reduced their infrastructure costs.
3-5x Increase in engineering and scientific simulation solve speed.
Zero queuing time.
Thousands of dollars in cost savings on cloud infrastructure each month.
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