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IcyJellyfish61
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3 Questions, 5 Answers
  Active since 10 January 2023
  Last activity one year ago

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5 × Eureka!
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Q: In The Managed Solutions, Do Customers Have Direct Access To The Databases (Es, Mongo, Redis), Or At Least An Ability To Export Once In A While?
Q: In the managed solutions, do customers have direct access to the databases (ES, Mongo, Redis), or at least an ability to export once in a while?
2 years ago
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6 Answers
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0 Votes 6 Answers 1K Views
Hi! Does Clearml Self-Hosted Supports Any Managed Solutions For Its Es, Mongo And Redis Dependencies?
Hi! Does ClearML self-hosted supports any managed solutions for its ES, Mongo and Redis dependencies?
2 years ago
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3 Answers
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Does Clearml Support Running The Experiments On Any "Serverless" Environments (I.E. Vertexai, Sagemaker, Etc.), Such That Gpu Resources Are Allocated On Demand? Alternatively, Is There A Story For Auto-Scaling Gpu Machines Based On Experiments Waiting In
Does ClearML support running the experiments on any "serverless" environments (i.e. VertexAI, SageMaker, etc.), such that GPU resources are allocated on dema...
2 years ago
0 Q: In The Managed Solutions, Do Customers Have Direct Access To The Databases (Es, Mongo, Redis), Or At Least An Ability To Export Once In A While?

CostlyOstrich36 thanks, that means no exports on Pro version?

2 years ago
0 Hi! Does Clearml Self-Hosted Supports Any Managed Solutions For Its Es, Mongo And Redis Dependencies?

Ok, thank you

2 years ago
0 Hi! Does Clearml Self-Hosted Supports Any Managed Solutions For Its Es, Mongo And Redis Dependencies?

Thanks, that sounds reasonable, but are there any known compatibility issues ? There is probably some experience with managed solution for those three services with ClearML

2 years ago
0 Q: In The Managed Solutions, Do Customers Have Direct Access To The Databases (Es, Mongo, Redis), Or At Least An Ability To Export Once In A While?

Got it, thanks CostlyOstrich36

2 years ago
0 Does Clearml Support Running The Experiments On Any "Serverless" Environments (I.E. Vertexai, Sagemaker, Etc.), Such That Gpu Resources Are Allocated On Demand? Alternatively, Is There A Story For Auto-Scaling Gpu Machines Based On Experiments Waiting In

re. "serverless" I mean running a training task on cloud services such that machines with GPUs for those tasks are provisioned on demand.
That means we don't have to keep a pool of machines with GPUs standing by, and don't have to deal with autoscaling. The cloud provider, upon receipt of such a training task, provisions the machines and runs the training.
This is a common use case for example in VertexAI.

Regarding Autoscaling - yes, autoscaling EC2 instances for example based on pending e...

2 years ago