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r/mlops is a subreddit with 16k 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
Solution Requests
: "Why use ML server frameworks like Triton Inf server n torchserve for cloud prod? What would u recommend?"
15 posts
#2
Advice Requests
: "Anyone switch to MLOps from DevOps? How did you get into it, and what are some differences and similarities between the two?"
14 posts
#3
Self-Promotion
: "KitOps: Innovative open-source packaging and versioning system for MLops/Devops teams"
3 posts
#4
Money Talk
: "SysML or Systems and Machine Learning - what is the economic value of this field? Will it make a difference in software or ML industry?"
1 post
#5
News
: "Nviwatch update benchmarks added"
1 post
Popular Topics in r/mlops
#1
Mlops
: "Is Mlops the most technical role? (beside Research roles)"
60 posts
#2
Ai
: "A lossless compression library taliored for Ai Models - Reduce transfer time of Llama3.2 by 33%"
12 posts
#3
Gpu
: "Maximizing Gpu Efficiency: The Battle of Inference Methods"
9 posts
#4
Model
: "Suggest a low-end hosting provider with GPU (to run this Model)"
8 posts
#5
Ml
7 posts
#6
Data
6 posts
#7
Open Source
4 posts
#8
Ml Ops
: "MLOps has been a exploding topic"
4 posts
#9
Llm
3 posts
#10
Architecture
: "I've devised a potential transformer-like Architecture with O(n) time complexity, reducible to O(log n) when parallelized."
3 posts
Popular Posts in r/mlops
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💬 5
⬆ 20
💬 13
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💬 7
⬆ 16
💬 20
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Member Growth in r/mlops
Daily
+45 members(0.3%)
Monthly
+731 members(4.9%)
Yearly
+6k members(71.3%)
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