Webinar
Dialed-in, Not Locked-In: Migrating to Scalable & Cost-Conscious Compute on JuliaHub
Webinar
Dialed-in, Not Locked-In: Migrating to Scalable & Cost-Conscious Compute on JuliaHub


As organizations face mounting pressure to optimize IT budgets, reducing unnecessary digital spend has become a strategic priority. One effective path is migrating from costly licensed compute solutions to a hybrid model that combines open-source tools with internally developed compute infrastructure.
But migration brings its own challenges: maintaining performance while keeping cloud costs under control.
In this webinar, we’ll walk through a hypothetical compute migration that demonstrates how organizations can achieve both goals. You’ll see how Julia’s pre-compilation capabilities and JuliaHub’s Sysimage Service help sustain high-performance compute while reducing cloud runtime costs.
Join us to learn how you can modernize your compute stack without compromising speed or efficiency.
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Speakers
Phil is a Sales Engineer at JuliaHub. From 2021 to 2023, he was a Solutions Engineer at Cumul.io. In 2021, he also served as Director – Volunteer Role at Wilberforce Inc., executing various communications projects. Prior to that, he was a Medical Data Scientist at Ascensia Diabetes Care from 2019 to 2020, focusing on neural network architectures for biomedical applications. From 2016 to 2019, he worked as a MATLAB Developer at Greenwich Scientific Computing, specializing in time series analysis and image processing. He began his career as a Field Engineer at Arcole Power LLC from 2013 to 2016. Phil holds a BE in Electrical and Electronics Engineering from the University of Michigan (1999–2004) and a Master’s in Statistics from Columbia University (2006–2008).
Speakers
Phil is a Sales Engineer at JuliaHub. From 2021 to 2023, he was a Solutions Engineer at Cumul.io. In 2021, he also served as Director – Volunteer Role at Wilberforce Inc., executing various communications projects. Prior to that, he was a Medical Data Scientist at Ascensia Diabetes Care from 2019 to 2020, focusing on neural network architectures for biomedical applications. From 2016 to 2019, he worked as a MATLAB Developer at Greenwich Scientific Computing, specializing in time series analysis and image processing. He began his career as a Field Engineer at Arcole Power LLC from 2013 to 2016. Phil holds a BE in Electrical and Electronics Engineering from the University of Michigan (1999–2004) and a Master’s in Statistics from Columbia University (2006–2008).
Speakers
Phil is a Sales Engineer at JuliaHub. From 2021 to 2023, he was a Solutions Engineer at Cumul.io. In 2021, he also served as Director – Volunteer Role at Wilberforce Inc., executing various communications projects. Prior to that, he was a Medical Data Scientist at Ascensia Diabetes Care from 2019 to 2020, focusing on neural network architectures for biomedical applications. From 2016 to 2019, he worked as a MATLAB Developer at Greenwich Scientific Computing, specializing in time series analysis and image processing. He began his career as a Field Engineer at Arcole Power LLC from 2013 to 2016. Phil holds a BE in Electrical and Electronics Engineering from the University of Michigan (1999–2004) and a Master’s in Statistics from Columbia University (2006–2008).
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Oct 16, 2025, 1:00 PM
America/New_York
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Register below to get event details sent to you.
We’ll use your information to host this webinar and send essential communications. You can also choose to receive our newsletter and updates—just check the box above. You can unsubscribe anytime. Read more in our Privacy Policy.
Oct 16, 2025, 1:00 PM
America/New_York
Sign Up
Register below to get event details sent to you.
We’ll use your information to host this webinar and send essential communications. You can also choose to receive our newsletter and updates—just check the box above. You can unsubscribe anytime. Read more in our Privacy Policy.
Oct 16, 2025, 1:00 PM
America/New_York