Machine learning operations, or MLOps, is the art and science of taking machine learning models from the data science lab to production.
It's been a hot topic for the last couple of years, and for good reason. Going from innovation to scalability and repeatability are the hallmarks of generating business value, and MLOps represents precisely that for machine learning.
Apache TVM has become a de facto standard in MLOps, and OctoML is the company gearing its commercialization and scale up.
As OctoML secured a $28 million Series B funding round, we caught up with its CEO and co-founder Luis Ceze to discuss TVM, OctoML, and MLOps.
Article published on ZDNet
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