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r/mlops is a subreddit with 21k members. Its distinguishing qualities are that the community is large in size.
The landing zone for anything MLOps - beginners and pros welcome. Vendors behave!
Popular Themes in r/mlops
#1
Advice Requests
: "Would you find a blog/video series on building ML pipelines useful?"
26 posts
#2
Solution Requests
: "Best Way to Deploy My Deep Learning Model for Clients"
12 posts
#3
Ideas
: "How we built our MLOps stack for fast, reproducible experiments and smooth deployments of NLP models"
2 posts
#4
Self-Promotion
: "Running an MLOps 101 mini-course in my university"
2 posts
#5
Opportunities
: "[Hiring] [EUR 120-160k] Senior ML Engineers (MLOps) in Dublin, Ireland."
1 post
Popular Topics in r/mlops
#1
Mlops
: "7 Mlops Projects for Beginners"
108 posts
#2
Model
: "Best Way to Deploy My Deep Learning Model for Clients"
24 posts
#3
Ai
: "I started with 0 Ai knowledge on the 2nd of Jan 2024 and blogged and studied it for 365 days. I realised I love MLOps. Here is a summary."
20 posts
#4
Deployment
: "FastAPI model Deployment"
19 posts
#5
Tools
: "What are some really good and widely used MLOps Tools that are used by companies currently, and will be used in 2025?"
18 posts
#6
Ml
: "Is anyone here managing 20+ Ml pipeline if so how?"
11 posts
#7
Devops
: "MLops from Devops"
11 posts
#8
Kubernetes
: "Don't use a Standard Kubernetes Service for LLM load balancing!"
11 posts
#9
Data
: "The Current Data Stack is Too Complex: 70% Data Leaders & Practitioners Agree"
10 posts
#10
Pipeline
: "Is anyone here managing 20+ ml Pipeline if so how?"
10 posts
Member Growth in r/mlops
Yearly
+9k members(78.1%)
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