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README spelling #27

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fa10679
Update README.md
Sam-Bieberich Oct 19, 2024
d579c11
Update README.md
Sam-Bieberich Oct 19, 2024
7fc4889
Update deploy.md
Sam-Bieberich Oct 19, 2024
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -14,7 +14,7 @@ Note that KubeShare 1.0 is deprecated. Refer to the [KubeShare 1.0 branch](https


## Prerequisite & Limitation
* A Kubernetes cluster with [garbage collection](https://kubernetes.io/docs/concepts/workloads/controllers/garbage-collection/), [DNS enabled](https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/) [nvidia-continaer-runtime](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)installed.
* A Kubernetes cluster with [garbage collection](https://kubernetes.io/docs/concepts/workloads/controllers/garbage-collection/), [DNS enabled](https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/) [nvidia-container-runtime](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)installed.
* Only support a kubernetes cluster that uses the environment variable `NVIDIA_VISIBLE_DEVICES` to control which GPUs will be made accessible inside the container.
* You also ensures that the *prometheus* is installed, because we will pull the data from it.
* It can't compatible with other scheduler to manage gpu resource
Expand All @@ -27,7 +27,7 @@ Note that KubeShare 1.0 is deprecated. Refer to the [KubeShare 1.0 branch](https
-->

## Deployment
1. [Deploy Componments](doc/deploy.md)
1. [Deploy Components](doc/deploy.md)

## Workloads

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4 changes: 2 additions & 2 deletions doc/deploy.md
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Expand Up @@ -135,8 +135,8 @@ kubectl apply -f deploy/aggregator.yaml
kubectl apply -f deploy/collector.yaml
```

+ **Make sure the enpoint of kubeshare-aggregator & kubeshare-collector of prometheus is up.**
+ Query the metric `gpu_capacity` , You will get the GPU specification
+ **Make sure the endpoint of kubeshare-aggregator & kubeshare-collector of prometheus is up.**
+ Query the metric `gpu_capacity`, You will get the GPU specification

```
gpu_capacity{endpoint="collector",index="0",instance="xxx.xxx.xxx.xxx:9004",job="kubeshare-collector",memory="34089730048",model="Tesla V100-PCIE-32GB",namespace="kube-system",node="ubuntu",pod="kubeshare-collector-wrrl6",service="kubeshare-collector",uuid="GPU-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"}
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