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Case Studies > Pinnacle Engines Achieves 80% Turnaround Time Reduction

Pinnacle Engines Achieves 80% Turnaround Time Reduction

Technology Category
  • Analytics & Modeling - Computer Vision Software
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Automotive
Applicable Functions
  • Product Research & Development
Use Cases
  • Predictive Maintenance
  • Process Control & Optimization
Services
  • Cloud Planning, Design & Implementation Services
The Challenge
Pinnacle Engines, a company developing and commercializing an ultra-efficient engine architecture, needed to run a wide variety of simulations, including the analysis of a four-stroke internal combustion engine using the computational fluid dynamics (CFD) tool, CONVERGE by Convergent Science. The design of an engine with 30-50% fuel efficiency required many simulations, constant iterations, and the compute power to accomplish all this within project timelines. Running tens to hundreds of models simultaneously required extensive compute resources and access to a large pool of simulation software licenses, equating to large up-front costs and personnel investments. Even with a powerful internal processing cluster, the ability to run parallel jobs was significantly limited.
About The Customer
Pinnacle Engines is a game-changing engine company that is developing and commercializing an ultra-efficient engine architecture. The company uses Rescale to quickly run a wide variety of simulations, including the analysis of a four-stroke internal combustion engine using the computational fluid dynamics (CFD) tool, CONVERGE by Convergent Science. The company aims to design an engine with 30-50% fuel efficiency, which requires many simulations, constant iterations, and the compute power to accomplish all this within project timelines.
The Solution
Pinnacle Engines used Rescale’s cloud simulation platform to run injector model characteristic studies, geometrical simplification studies, and reaction mechanism reductions, among others. Each of these analyses was used to design an ultra-efficient and powerful four-stroke engine. Using Rescale, Pinnacle Engines was able to set up tens of jobs within minutes, customizing simulation resources for each job. Job-tailored compute resources were dynamically provisioned within five minutes of job submission. They were able to run tens of jobs simultaneously without having to queue for software or hardware. They executed simulations whenever needed using both on-demand Rescale hardware and CONVERGE software. They gathered results and delivered them to local servers for post-processing and analysis. They securely ran proprietary simulation models with end-to-end data encryption on isolated, encrypted clusters.
Operational Impact
  • Pinnacle Engines was able to set up tens of jobs within minutes, customizing simulation resources for each job.
  • Job-tailored compute resources were dynamically provisioned within five minutes of job submission.
  • They were able to run tens of jobs simultaneously without having to queue for software or hardware.
Quantitative Benefit
  • 80% reduction in turnaround time.
  • Efficiently executed 240+ simulations.

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