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r/mlops is a subreddit with 24k 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?"
35 posts
#2
Solution Requests
: "How to host a ML (time series) model and make it available via frontend for 50-100 dollars a month?"
15 posts
#3
Self-Promotion
: "I built a self-hosted Databricks"
3 posts
#4
Ideas
: "Thinking of Creating a Course on Advanced AzureML V2 Workflows — Would This Help You?"
1 post
#5
Money Talk
: "$0.19 GPU and A100s from $1.55"
1 post
#6
Opportunities
: "Looking for 3–5 people for collaborative MLOps study (Goal: Job in 6 months)"
1 post
Popular Topics in r/mlops
#1
Mlops
: "7 Mlops Projects for Beginners"
92 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."
32 posts
#3
Ml
: "Is anyone here managing 20+ Ml pipeline if so how?"
16 posts
#4
Model
: "Sagemaker vs Databricks in terms of Model experimentation / dev phase"
16 posts
#5
Deployment
: "Favorite Deployment strategy?"
13 posts
#6
Training
: "Distributed Data Parallel Training"
8 posts
#7
Kubernetes
: "Don't use a Standard Kubernetes Service for LLM load balancing!"
8 posts
#8
Data
: "The Current Data Stack is Too Complex: 70% Data Leaders & Practitioners Agree"
8 posts
#9
Llms
: "ML and LLM system design: 500 case studies to learn from (Airtable database)"
8 posts
#10
Llm
: "Just launched r/aiinfra — A Subreddit Focused on Serving, Optimizing, and Scaling Llms"
7 posts
Member Growth in r/mlops
Yearly
+11k members(76.5%)
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