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README.md

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| ```image``` | | ```iterative-cml``` in AWS ```Canonical:UbuntuServer:18.04-LTS:latest``` in Azure | Sets the image to be used. On AWS the provider does a search in the cloud provider by image name not by id, taking the lastest version in case there are many with the same name. Defaults to [iterative-cml image](#iterative-cml-image). On Azure uses the form Publisher:Offer:SKU:Version|
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| ```name``` | | iterative_{UID} | Sets the instance name and related resources based on that name. In Azure groups everything under a resource group with that name. |
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| ```instance_hdd_size``` | | 10 | Sets the instance hard disk size in gb |
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| ```instance_type``` | ```m```, ```l```, ```xl``` | ```m``` | Sets thee instance computing size. You can also specify vendor specific machines in AWS i.e. ```t2.micro```. [See equivalences]((#AWS-instance-equivalences)) table below. |
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| ```instance_type``` | ```m```, ```l```, ```xl``` | ```m``` | Sets thee instance computing size. You can also specify vendor specific machines in AWS i.e. ```t2.micro```. [See equivalences](#Supported-vendors) table below. |
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| ```instance_gpu``` | ``` ```, ```testla```, ```k80``` | ``` ``` | Sets the desired GPU if the ```instance_type``` is one of our types. |
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| ```ssh_private``` | | | SSH private in PEM format. If not provided one private and public key wll be automatically generated and returned in terraform.tfstate |
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| ```image``` | | ```iterative-cml``` in AWS ```Canonical:UbuntuServer:18.04-LTS:latest``` in Azure | Sets the image to be used. On AWS the provider does a search in the cloud provider by image name not by id, taking the lastest version in case there are many with the same name. Defaults to [iterative-cml image](#iterative-cml-image). On Azure uses the form Publisher:Offer:SKU:Version|
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| ```name``` | | iterative_{UID} | Sets the instance name and related resources based on that name. In Azure groups everything under a resource group with that name. |
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| ```instance_hdd_size``` | | 10 | Sets the instance hard disk size in gb |
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| ```instance_type``` | ```m```, ```l```, ```xl``` | ```m``` | Sets thee instance computing size. You can also specify vendor specific machines in AWS i.e. ```t2.micro```. [See equivalences]((#AWS-instance-equivalences)) table below. |
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| ```instance_type``` | ```m```, ```l```, ```xl``` | ```m``` | Sets thee instance computing size. You can also specify vendor specific machines in AWS i.e. ```t2.micro```. [See equivalences](#Supported-vendors) table below. |
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| ```instance_gpu``` | ``` ```, ```testla```, ```k80``` | ``` ``` | Sets the desired GPU if the ```instance_type``` is one of our types. |
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| ```ssh_private``` | | | SSH private in PEM format. If not provided one private and public key wll be automatically generated and returned in terraform.tfstate |
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| ```startup_script``` | | | Startup script also known as userData on AWS and customData in Azure. It can be expressed as multiline text using [TF heredoc syntax ](https://www.terraform.io/docs/configuration-0-11/variables.html) |
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# Pitfalls
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To be able to use the ```instance_type``` and ```instance_gpu``` you will need also to be allowed to launch [such instances](#AWS-instance-equivalences) within you cloud provider. Normally all the GPU instances need to be approved prior to be used by your vendor.
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To be able to use the ```instance_type``` and ```instance_gpu``` you will need also to be allowed to launch [such instances](#Supported-vendors) within you cloud provider. Normally all the GPU instances need to be approved prior to be used by your vendor.
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You can always try with an already approved instance type by your vendor just setting it i.e. ```t2.micro```
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<details>

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