Demo: Streamline Your R&D Workflow with Computational Pipelines
In this demo, learn how to standardize and automate multi-step simulation R&D workflows through computational pipelines on Rescale, offering a low-code solution to increase speed and improve product quality. ☁️
🎥 What’s it about?
This video showcases how computational pipelines on Rescale offer a low-code solution to standardize and automate multi-step workflows.
💡 Why Watch?
• Accelerate R&D Speed: Enhance engineering productivity by automating complex, manual workflows.
• Improve Product Quality: Standardize your R&D processes for consistent, high-quality outcomes.
🔍 Who Should Watch?
Those involved in strategic R&D looking to drive collaboration, streamline R&D workflow automation, and leverage the flexibility of the simulation & data ecosystem.
🔗 Key Takeaways:
• Collaborative environment with shared access to data and context.
• Real-time, model-based collaboration for immediate insights.
• Automated, flexible data management for efficient insight sharing.
Join us in reshaping the future of R&D workflows.
ABOUT RESCALE:
Rescale’s AI-powered cloud high performance computing (HPC) platform makes accelerating innovation possible for any organization. Innovators use Rescale to provide R&D teams the world’s largest library of fully managed software applications and performance-driven computing architectures, robust data security, intelligent controls, and a seamless AI-driven experience. Leveraged by a majority of Fortune 500 companies to accelerate time to market, Rescale has been recognized by Gartner as a Cool Vendor for Cloud Infrastructure, by Deloitte as a Technology Fast 500 company, and by the World Economic Forum as a Global Innovator Unicorn.
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CHAPTERS:
00:00 - The advantage of computational pipelines on Rescale
00:27 - Demo of computational pipeline used in automotive brake design
01:20 - How to set up this computational pipeline
01:50 - Step two in this computational pipeline reduces time
02:08 - Results from each task or extracted automatically with organized data
02:29 - Using Nextflow for the solver handoff
02:44 - Rescale computational pipelines: summary of benefits
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