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Allegro AI 2020-12-25 04:23:12 +02:00 committed by GitHub
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@ -21,9 +21,9 @@ ML-Ops scheduler & orchestration solution supporting Linux, macOS and Windows**
* Implement optimized resource utilization policies
* Deploy execution environments with either virtualenv or fully docker containerized with zero effort
* Launch-and-Forget service containers
* [Cloud autoscaling](https://allegro.ai/clearml/docs/examples/services/aws_autoscaler/aws_autoscaler/)
* [Customizable cleanup](https://allegro.ai/clearml/docs/examples/services/cleanup/cleanup_service/)
* Advanced [pipeline building and execution](https://allegro.ai/clearml/docs/examples/frameworks/pytorch/notebooks/table/tabular_training_pipeline/)
* [Cloud autoscaling](https://allegro.ai/clearml/docs/docs/examples/services/aws_autoscaler/aws_autoscaler.html)
* [Customizable cleanup](https://allegro.ai/clearml/docs/docs/examples/services/cleanup/cleanup_service.html)
* Advanced [pipeline building and execution](https://allegro.ai/clearml/docs/docs/examples/frameworks/pytorch/notebooks/table/tabular_training_pipeline.html)
It is a zero configuration fire-and-forget execution agent, providing a full ML/DL cluster solution.
@ -122,7 +122,7 @@ The ClearML Agent executes experiments using the following process:
#### System Design & Flow
<img src="https://allegro.ai/clearml/docs/img/ClearML_Architecture.png" width="100%" alt="clearml-architecture">
<img src="https://allegro.ai/clearml/docs/_images/ClearML_Architecture.png" width="100%" alt="clearml-architecture">
#### Installing the ClearML Agent