
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
| Publishes | Twice weekly | Episodes | 525 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Thiago Cardoso is the Director of Data & AI at iFood and the architect behind iFood Pago's AI agent platform. This fintech system serves millions of restaurants across Brazil through WhatsApp and the iFood app. In this episode, he breaks down what it... more
Sherwood Callaway is the founder of Sazabi (YC P26), the AI-native observability platform built for engineering teams who ship fast. He previously founded and exited a YC company — now he's back, betting that logs are all you need to replace Datadog.... more
Joe Maionchi (Co-founder & COO) and Rod Christensen (Co-founder & Chief Architect) of RocketRide join the MLOps Community to walk through AIDE — the AI Integrated Development Environment. RocketRide is an open-source AI pipeline platform that lets de... more
BuzzHPC Roundtable episode: Architecting Modern AI Systems: Platforms, Agents, and Integration
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MLOps GPU Guide: go.mlops.c... more
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The hosts are a couple of young guys who spend most of the time congratulating themselves for moving to the Bay Area. Lots of “everyone who’s serious about tech is in the bay, it’s that simple” on every. Single. Episode. Most guests are from other B2B SaaS companies hocking their products, and on the occasion that there’s an informative guest, their blog posts and papers won’t get linked in the show notes because they’re too busy #disrupting. Not a good resource for people looking to stay knowle... more
Amazing host/podcast, very informative and awesome guests.
Anything you want to learn, understand about AI, ML and Data Science this is the place to be!
No fluff. Getting into the details. There's no other podcast like this. Thank you for sharing!
🤓The best hosts you can think of. Data professionals with emotional intelligence.
Super guests and great topics.
🌍On top there’s a world spanning network of Meetup groups!
You need to listen to this if you are in the data space
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Apple Podcasts | #225 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
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Strong focus on practical AI production, ML tooling, and scalable agent workflows. Episodes frequently explore long-running agents, orchestration, observability, and production-ready evaluation, with deep dives into latency, reliability, and governance in real-world deployments. Notable strengths include a hands-on lens from practitioners, open-source and vendor contrasts, and discussions that bridge research concepts with enterprise constraints, making it valuable for listeners building or buying ML/AI systems. The show tends to feature operators and engineers who share implementable patterns, lessons from live deployments, and perspectives on open standards and interoperability across runtimes.
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These podcasts share a similar audience with MLOps.community:
1. Practical AI
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. AI + a16z
4. Machine Learning Street Talk (MLST)
5. Training Data
MLOps.community launched 6 years ago and published 525 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on MLOps.community include:
1. Samraj Moorjani
2. Apurva MisraA
3. Not identified
4. Team Member
5. Jukka Remes
6. David Hershey
7. Krishna Sridhar
8. Lauren Kaplan
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