# Deployment

- [VMware Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/vmware-stream-deployment.md): Deploy Stream on VMware using an OVA via vCenter/vSphere or via the Brain CLI provisioning command.
- [Hyper-V Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/hyper-v-stream-deployment.md): Deploy Stream on Hyper-V using the provided VHD and PowerShell deployment script.
- [KVM Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/kvm-stream-deployment.md): Deploy Stream on KVM using the image tarball and \`vectra-stream.sh\`, with basic \`virsh\` troubleshooting tips.
- [AWS Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/aws-stream-deployment.md): Deploying Stream in AWS environments using and image from the AWS Marketplace.
- [Azure Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/azure-stream-deployment.md): Deploying Stream in Azure using a image from the Azure Marketplace.
- [GCP Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/gcp-stream-deployment.md): Deploy Stream in GCP using \`gcloud infra-manager\` with aVectra-provided template and image shared to you from Vectra.
- [M-Series Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/m-series-stream-deployment.md): Quick-start steps to deploy Stream on a physical M-Series appliance, then pair and enable publishing.


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