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The MLOps tooling landscape in early 2021 (284 tools)  ↦

Chip Huyen:

While looking for these MLOps tools, I discovered some interesting points about the MLOps landscape:

  1. Increasing focus on deployment
  2. The Bay Area is still the epicenter of machine learning, but not the only hub
  3. MLOps infrastructures in the US and China are diverging
  4. More interests in machine learning production from academia

If MLOps is new to you, Practical AI did a deep dive on the topic that will help you sort it out. Or if you’d prefer a shallow dive… just watch this.


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