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r/mlops is a subreddit with 22k 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?"
31 posts
#2
Solution Requests
: "How to host a ML (time series) model and make it available via frontend for 50-100 dollars a month?"
10 posts
#3
Self-Promotion
: "Running an MLOps 101 mini-course in my university"
2 posts
Popular Topics in r/mlops
#1
Mlops
: "7 Mlops Projects for Beginners"
111 posts
#2
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."
17 posts
#3
Tools
: "What are some really good and widely used MLOps Tools that are used by companies currently, and will be used in 2025?"
14 posts
#4
Model
: "Sagemaker vs Databricks in terms of Model experimentation / dev phase"
12 posts
#5
Training
: "Distributed Data Parallel Training"
12 posts
#6
Deployment
: "Favorite Deployment strategy?"
12 posts
#7
Cloud
: "Why use ML server frameworks like Triton Inf server n torchserve for Cloud prod? What would u recommend?"
11 posts
#8
Kubernetes
: "Don't use a Standard Kubernetes Service for LLM load balancing!"
10 posts
#9
Data
: "The Current Data Stack is Too Complex: 70% Data Leaders & Practitioners Agree"
9 posts
#10
Ml
: "Is anyone here managing 20+ Ml pipeline if so how?"
9 posts
Member Growth in r/mlops
Yearly
+10k members(79.7%)
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