OctoML scores $28M to go to market with open source Apache TVM, a de facto standard for MLOps. Backstage chat with CEO Luis Ceze artwork
Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

OctoML scores $28M to go to market with open source Apache TVM, a de facto standard for MLOps. Backstage chat with CEO Luis Ceze

  • S2E9
  • 32:57
  • March 17th 2021

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

Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

I've got tech, data, and media, and i'm not afraid to use them.

My name is George Anadiotis, and i am a writer, a planner and a doer. I am an Onalytica Top 100 Influencer in Big Data and Cloud, a Knowledge Graph expert, and a P2P Foundation and ZDNet contributor, among other things.

Linked Data Orchestration is my brand. This podcast is where i share my work, as well as conversations with people who bring interesting news and views to the table.

Some might call this futurism; let's just say it's connecting the dots.

Coming from a technology background, i've had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator.

Before starting a career as an analyst and journalist, i served Fortune 500, startups and NGOs as a consultant, built and managed projects, products and teams of all sizes and shapes, and got involved in award-winning research. I still try to do that stuff as much as possible.