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@ -93,20 +93,20 @@ There is also a default docker image to use when initiating a task.
This means that using **clearml-session**s
with the autoscaler enabled, allows for turn-key secure development environment inside a docker of your choosing.
Learn more about it [here]()
Learn more about it [here](https://clear.ml/docs/latest/docs/guides/services/aws_autoscaler)
#### Does this fit Work From Home situations?
**YES**. Install `clearml-agent` on target machines inside the organization, connect over your company VPN
and use `clearml-session` to gain access to a dedicated on-prem machine with the docker of your choosing
(with out-of-the-box support for any internal docker artifactory).
Learn more about how to utilize your office workstations and on-prem machines [here]()
Learn more about how to utilize your office workstations and on-prem machines [here](https://clear.ml/docs/latest/docs/clearml_agent)
## Tutorials
### Getting started
Requirements `clearml` python package installed and configured (see detailed [instructions]())
Requirements `clearml` python package installed and configured (see detailed [instructions](https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps))
``` bash
pip install clearml-session
clearml-session --docker nvcr.io/nvidia/pytorch:20.11-py3 --git-credentilas