Merge pull request GoogleCloudPlatform#4259 from SwarnaBharathiMantena/swarnabm/gke-a3u-dws-calendar-mode

Information on DWS Calendar consumption option in GKE blueprint

Author: SwarnaBharathiMantena

examples/gke-consumption-options/dws-calendar.md

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+# DWS Calendar Consumption Option
+
+[Dynamic Workload Scheduler (DWS)](https://cloud.google.com/blog/products/compute/introducing-dynamic-workload-scheduler) is a resource management and job scheduling platform designed for AI Hypercomputer. Dynamic Workload Scheduler improves your access to AI/ML resources, helps you optimize your spend, and can improve the experience of workloads such as training and fine-tuning jobs, by scheduling all the accelerators needed simultaneously. Dynamic Workload Scheduler supports TPUs and NVIDIA GPUs, and brings scheduling advancements from Google ML fleet to Google Cloud customers.
+
+With Calendar mode, you will be able to request GPU capacity in fixed duration capacity blocks. Additional information about DWS Calendar mode can be [found here](https://cloud.google.com/blog/products/compute/introducing-dynamic-workload-scheduler).
+
+## Create an A3 Ultra cluster
+
+The [gke-a3-ultragpu](./examples/gke-a3-ultragpu) example can be used to create an A3 Ultra cluster using a DWS Calendar reservation. The `reservation` variable under `vars` in the [-deployment.yaml](examples/gke-a3-ultragpu/gke-a3-ultragpu-deployment.yaml) should be updated to the DWS Calendar reservation name.
+
+Refer to [Create an AI-optimized GKE cluster with default configuration](https://cloud.google.com/ai-hypercomputer/docs/create/gke-ai-hypercompute#use-cluster-toolkit) for instructions on creating the GKE-A3U cluster.
+
+Refer to [Deploy and run NCCL test](https://cloud.google.com/ai-hypercomputer/docs/create/gke-ai-hypercompute#deploy-run-nccl-tas-test) for instructions on running a NCCL test on the GKE A3 Ultra cluster.