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Yandex Data Proc
  • Use cases
    • Configuring networks for Data Proc clusters
    • Using Apache Hive
    • Running Spark applications
    • Running applications from a remote host
    • Copying files from Yandex Object Storage
  • Step-by-step instructions
    • All instructions
    • Creating clusters
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  • Concepts
    • Data Proc overview
    • Host classes
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    • Network in Data Proc
    • Quotas and limits
  • Access management
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  • API reference
    • Authentication in the API
    • gRPC
      • Overview
      • ClusterService
      • JobService
      • ResourcePresetService
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      • Overview
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        • create
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        • Overview
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  • Questions and answers
  1. Concepts
  2. Host classes

Host classes

  • Available host classes

The host class determines the computing power allocated for each host in the cluster. When you change the host class for a cluster, all existing hosts change to match it.

The available storage doesn't depend on the host class. For storage limitations, see Quotas and limits.

Available host classes

Hosts in Data Proc clusters are deployed on Yandex Compute Cloud VMs. You can create these VMs on any of the platforms that Compute Cloud supports. For a detailed description of the platforms, see Platforms.

The full list of possible host configurations on each platform is provided below.

Host class name Number of CPUs CPU performance RAM, GB
Intel Broadwell
b1.small 2 20% 4
b1.medium 2 50% 4
m1.micro 2 100% 16
m1.small 4 100% 32
m1.medium 6 100% 48
m1.large 8 100% 64
m1.xlarge 12 100% 96
m1.2xlarge 16 100% 128
m1.3xlarge 24 100% 192
m1.4xlarge 32 100% 256
s1.nano 1 100% 4
s1.micro 2 100% 8
s1.small 4 100% 16
s1.medium 8 100% 32
s1.large 16 100% 64
s1.xlarge 32 100% 128
Intel Cascade Lake
b2.small 2 20% 4
b2.medium 2 50% 4
m2.micro 2 100% 16
m2.small 4 100% 32
m2.medium 6 100% 48
m2.large 8 100% 64
m2.xlarge 12 100% 96
m2.2xlarge 16 100% 128
m2.3xlarge 24 100% 192
m2.4xlarge 32 100% 256
m2.5xlarge 40 100% 320
m2.6xlarge 48 100% 384
m2.7xlarge 56 100% 448
m2.8xlarge 64 100% 512
s2.micro 2 100% 8
s2.small 4 100% 16
s2.medium 8 100% 32
s2.large 12 100% 48
s2.xlarge 16 100% 64
s2.2xlarge 24 100% 96
s2.3xlarge 32 100% 128
s2.4xlarge 40 100% 160
s2.5xlarge 48 100% 192
s2.6xlarge 64 100% 256
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