Dask Cloud Provider¶
Native Cloud integration for Dask.
This library creates Dask clusters on a given cloud provider with no set up other than having credentials. Currently, it only supports AWS.
$ pip install dask-cloudprovider
$ conda install -c conda-forge dask-cloudprovider
Below are the different modules for creating clusters on various cloud providers.
In order to create clusters on AWS you need to set your access key, secret key and region. The simplest way is to use the aws command line tool.
$ pip install awscli $ aws configure
FargateCluster will create a new Fargate ECS cluster by default along
with all the IAM roles, security groups, and so on that it needs to function.
from dask_cloudprovider import FargateCluster cluster = FargateCluster()
⚠ All AWS resources created by
FargateClustershould be removed on garbage collection. If the process is killed harshly this will not happen.
You can also create Dask clusters using EC2 based ECS clusters using
Creating the ECS cluster is out of scope for this library but you can pass in the ARN of an existing one like this:
from dask_cloudprovider import ECSCluster cluster = ECSCluster(cluster_arn="arn:aws:ecs:<region>:<acctid>:cluster/<clustername>")
All the other required resources such as roles, task definitions, tasks, etc
will be created automatically like in
There is also support in
ECSCLuster for GPU aware Dask clusters. To do
this you need to create an ECS cluster with GPU capable instances (from the
p3dn families) and specify the number of GPUs each worker task
from dask_cloudprovider import ECSCluster cluster = ECSCluster( cluster_arn="arn:aws:ecs:<region>:<acctid>:cluster/<gpuclustername>", worker_gpu=1)