r/mlops is a subreddit with 33k members. The most common kinds of discussions are advice requests and solution requests, and the community frequently discusses mlops, ai, ml, data, and model.
The landing zone for anything MLOps - beginners and pros welcome. Vendors behave!
Popular Themes in r/mlops
#1
Advice Requests
: "Transitioning to MLOps from DevOps. Need advice"
13 posts
#2
Solution Requests
: "Figuring out a good way to serve low latency edge ML"
6 posts
#3
Pain & Anger
: "Moving from single gpu experiments to multi node training broke everything (lessons learned)"
3 posts
#4
Ideas
: "Why is building ML pipelines still so painful in 2025? Looking for feedback on an idea."
2 posts
#5
Opportunities
: "GPU cost optimization demand"
2 posts
#6
Self-Promotion
: "We built live MLOps projects step-by-step — sharing our recorded sessions for free (LWP Labs)"
1 post
#7
News
: "Moved our model training from cloud to on-premise, here's the performance comparison"
1 post
Popular Topics in r/mlops
#1
Mlops
: "Is anyone else noticing that a lot of companies claiming to “do Mlops” are basically faking it?"
127 posts
#2
Ai
: "Ai workflows: so hot right now 🔥"
85 posts
#3
Ml
: "Why is building Ml pipelines still so painful in 2025? Looking for feedback on an idea."
33 posts
#4
Data
: "MLOps practitioners: What would make you pay for a unified code + Data + model + pipeline platform?"
17 posts
#5
Model
17 posts
#6
Gpu
: "What's the simplest Gpu provider?"
17 posts
#7
Production
: "Why do so many AI pilots fail to reach Production?"
16 posts
#8
Deployment
15 posts
#9
Llm
: "Scale-out is the silent killer of Llm applications. Are we solving the wrong problem?"
15 posts
#10
Devops
: "are there Backend/Devops fields or jobs that are related to AI/ML that is in demand?"
9 posts
Flair Used in r/mlops
#1
MLOps Education :snoo_hearteyes:
: "Broke down our $3.2k LLM bill - 68% was preventable waste"
38 posts
#2
beginner help😓
: "Meta's lawyers just served Heretic a legal notice. I ran the numbers on the 168 de-censored models they dropped in response."
24 posts
#3
Tales From the Trenches :snoo_shrug:
: ""MLOps is just DevOps with ML tools" — what I thought before vs what it actually looks like"
16 posts
#4
Tools: OSS:doge:
: "I got tired of copy-pasting ML pipeline YAML across projects, so I built a reusable GitLab CI/CD component"
11 posts
#5
Great Answers :snoo_hearteyes:
: "How to upgrade to Senior ML Engineer from mid-level?"
6 posts
#6
Tools: paid 💸
: "Databricks serving endpoint deployment"
1 post
#7
Freemium :snoo_tableflip:
: "A 16-mode failure map for LLM / RAG pipelines (open source checklist)"
1 post
Member Growth in r/mlops
Yearly
+10k members(45.3%)
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Last updated: June 1, 2026