Traction
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Anu Sharma
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Luis Ceze on Open Source Business Models and OctoML
22 minutes Posted Oct 22, 2020 at 3:18 pm.
) Intro
) Creation of Apache TVM at University of Washington
) Early members of the community
) The customer pain
) The community today
) Two groups of users: hardware vendors and machine learning data scientists and engineers
) Awareness among machine learning data scientists (integration with popular frameworks, effectiveness with models that customers care about, connect with adjacent communities)
) Common use cases and customer needs (latency, throughput per dollar, hardware coverage, operator coverage)
) Building a commercial product with a committed open source project
) Using the Octomizer
) Evaluating building vs. buying
) Ideas for business models around open source software
) Network effects
) Connecting different pursuits
) Challenges of building a business around an open source project
) What not to do!
) Community really likes the commercialization (‘this is serious!’)
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22:22
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Show notes
Luis Ceze, CEO of OctoML, speaks about the creation of the Apache TVM at the University of Washington, how they’ve built a vibrant community around the open source project, and how bringing a commercial product to market is key to a sustainable open source ecosystem. Also catch Luis sharing a sneak preview of the Octomizer, a fully managed software-as-a-service that you can use to optimize, benchmark, and package your machine learning models for a number of different hardware platforms and language runtimes.
Episode Notes
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