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End-to-end cloud compute for AI/ML
Podcast |
Practical AI: Machine Learning, Data Science
Publisher |
Changelog Media
Media Type |
audio
Podknife tags |
Artificial Intelligence, 
Business, 
Data Science, 
Interview, 
Machine Learning, 
Tech News, 
Technology
Categories Via RSS |
Software How-To, 
Tech News, 
Technology
Publication Date |
Mar 07, 2023
Episode Duration |
00:44:21
We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible! Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.
We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible! Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.

We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible!

Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.

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Featuring:

Show Notes:

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Timestamps:

(00:00) - Welcome to Practical AI(00:42) - Erik Bernhardsson(02:29) - What got Modal started(08:55) - What makes Modal different?(12:13) - Pros and cons of this workflow(15:36) - What it's like in my experience(21:37) - Most unexpected uses for Modal(23:57) - The classic Modal workflow(31:04) - Tips for migrating into Modal(34:35) - How will Modal grow?(37:56) - Will you take Modal to the edge?(40:03) - Wrap up(43:24) - Outro

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