OctoML scores $28M to go to market with open source Apache TVM, a de facto standard for MLOps
The open source Apache TVM project is becoming a de facto standard in MLOps, and OctoML is gearing its commercialization and scale up
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 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 is a key open source project in MLOps, used by the likes of Amazon, AMD, ARM, Facebook, Intel, Microsoft, and Qualcomm. OctoML is the company set up by founding members of the TVM project to commercialize and scale it up.
OctoML today announced it has raised a $28 million Series B funding round, bringing the company’s total amount raised to $47 million. Addition led the round with participation from existing investors Madrona Venture Group and Amplify Partners.
ZDNet connected with Luis Ceze, CEO and co-founder of OctoML, to discuss the past, present, and future of TVM, OctoML, and MLOps.