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
Hi, I Have Such A Usecase: I Have Different Types Of Tasks That Use Gpu:

Hi, I have such a usecase: I have different types of tasks that use GPU:
task that uses 1 card task that uses 0.5 of card task that uses [other number] of cards
Normally, I can run agent on predefined number of cards. Is there a way to make such agent more "interactive" (has 2 cards and can process 4 tasks that use 0.5 of a card in parallel)

Does ClearML work with Kubeflow in some way?

Posted one year ago
Votes Newest

Answers 2

If you're reffering to the https://www.nvidia.com/en-us/technologies/multi-instance-gpu/ I heard it was only supported by the Enterprise edition, since this tech is only available for the A100 GPUs, they most likely assumed that if you were rich enough to have one you would not mind buying the enterprise edition

Posted one year ago

I am referring to something like Ray framework has https://docs.ray.io/en/latest/ray-core/tasks.html#specifying-required-resources

Posted one year ago
2 Answers
one year ago
one year ago