Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Hi

Hi , I had a question to run these ML Ops End to End Pipeline like Allegro.ai, what kind of Infrastructure does one need? In terms of the GPU Servers, etc.

If someone could answer this query, I would be glad.

  
  
Posted 3 years ago
Votes Newest

Answers 2


Hi TastyOwl44
So this depends on your code itself, but usually you need a CPU machine to run ClearML server (or use the free community server), than a machine to run the pipeline controller (usually the same machine running the clearml-server , as the pipeline control code is basically controller only and does not execute the Task itself), lastly you need machines with GPU running the clearml-agent (these GPU machines are the one actually doing the training inference etc.)

Make sense ?

btw, no need to use @ channel , I can promise no message will be left unanswered 🙂

  
  
Posted 3 years ago

Thanks Martin. I just sent you a DM. 🙂

  
  
Posted 3 years ago
617 Views
2 Answers
3 years ago
one year ago
Tags