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This article discusses default and recommended node configurations for Azure HDInsight clusters.
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## Default and recommended node configuration and virtual machine sizes for clusters
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## Default and minimum recommended node configuration and virtual machine sizes for clusters
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The following tables list default and recommended virtual machine (VM) sizes for HDInsight clusters. This information is necessary to understand the VM sizes to use when you are creating PowerShell or Azure CLI scripts to deploy HDInsight clusters.
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The following tables list default and recommended virtual machine (VM) sizes for HDInsight clusters. This information is necessary to understand the VM sizes to use when you are creating PowerShell or Azure CLI scripts to deploy HDInsight clusters.
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If you need more than 32 worker nodes in a cluster, select a head node size with at least 8 cores and 14 GB of RAM.
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The only cluster types that have data disks are Kafka and HBase clusters with the Accelerated Writes feature enabled. HDInsight supports P30 and S30 disk sizes in these scenarios.
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For more details on the specification of each VM type, see the following documents:
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The specifications of all minimum recommended VM types used in this document are summarized in the following table.
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*[General purpose virtual machine sizes: Dv2 series 1-5](https://docs.microsoft.com/azure/virtual-machines/linux/sizes-general#dv2-series)
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*[Memory optimized virtual machine sizes: Dv2 series 11-15](https://docs.microsoft.com/azure/virtual-machines/linux/sizes-memory#dv2-series-11-15)
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*[General purpose virtual machine sizes: Av2 series 1-8](https://docs.microsoft.com/azure/virtual-machines/linux/sizes-general#av2-series)
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| Size | vCPU | Memory: GiB | Temp storage (SSD) GiB | Max temp storage throughput: IOPS / Read MBps / Write MBps | Max data disks / throughput: IOPS | Max NICs / Expected network bandwidth (Mbps) |
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