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Update README.md (Typo "a azure"→"an azure") #38

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -32,7 +32,7 @@ __Support user define docker environment to greater customize ray environment__


## Option 1: Run ray workload within an [azure ml job](https://learn.microsoft.com/en-us/cli/azure/ml/job?view=azure-cli-latest) (non-interactive mode)
1. Setup a [azure ml compute cluster](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?tabs=python)
1. Setup an [azure ml compute cluster](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?tabs=python)
2. Include ray-on-aml,azureml-defaults, azureml-mlflow and ray package(s) as job dependencies like below in conda or in your job's [environment](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-environments-v2?tabs=cli)
```
channels:
Expand Down Expand Up @@ -66,7 +66,7 @@ There's no need for vnet setup.
If you like setup an interactive ray cluster to work with from a ray client or directly on the head node, follow the following setup:
## Option 2: Use ray cluster interactively
You can setup a ray cluster and use it to develop and test interactively either from a head node or with a [ray client](https://docs.ray.io/en/latest/cluster/running-applications/job-submission/ray-client.html)
For this, ray-on-aml relies on a [AML Compute Instance](https://learn.microsoft.com/en-us/azure/machine-learning/concept-compute-instance) (CI) as the head node or ray client machine and [AML compute cluster](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?tabs=python) as a complete remote ray cluster in case the CI is used as ray client only or ray cluster worker(s) in case the CI is used as head node.
For this, ray-on-aml relies on an [AML Compute Instance](https://learn.microsoft.com/en-us/azure/machine-learning/concept-compute-instance) (CI) as the head node or ray client machine and [AML compute cluster](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?tabs=python) as a complete remote ray cluster in case the CI is used as ray client only or ray cluster worker(s) in case the CI is used as head node.

## Architecture for Interactive Mode

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