The MLOps tooling landscape in early 2021 (284 tools) ↦
While looking for these MLOps tools, I discovered some interesting points about the MLOps landscape:
- Increasing focus on deployment
- The Bay Area is still the epicenter of machine learning, but not the only hub
- MLOps infrastructures in the US and China are diverging
- 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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