MLOps is NOT Real (Practical AI #176)
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English - April 26, 2022 14:00 - 45 minutes - 42.7 MB - ★★★★ - 28 ratingsTechnology Education How To changelog open source oss software development developer hacker Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.
We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.
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Featuring:
Luis Ceze – Twitter, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
OctoML
Something missing or broken? PRs welcome!