Scaling Machine Learning
Erik discusses the importance of providing infrastructure for customers to run their proprietary machine learning models at scale, particularly in the realms of audio, image, and music. He highlights the challenges of maintaining stability and performance while managing thousands of GPUs and handling massive request volumes. Lukas expresses curiosity about the development process, including how to prioritize customer requests and manage product trade-offs within their growing organization.In this clip
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Gradient Dissent - A Machine Learning Podcast
Elevating ML Infrastructure with Modal Labs CEO Erik Bernhardsson
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