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Yandex MPP Analytics for PostgreSQL
  • Getting started
    • Overview of Greenplum® and Apache Cloudberry™ DBMSs in Yandex MPP Analytics for PostgreSQL
    • Resource relationships
    • Host classes
    • High availability clusters
    • Calculating the cluster configuration
    • Networking in Yandex MPP Analytics for PostgreSQL
    • Quotas and limits
    • Backups
    • Resource groups
    • Sharding
    • Users and roles
    • User authentication
    • Command center
    • Command center settings
    • External tables
    • Managing connections
    • Expanding a cluster
    • Maintenance
    • Table and system folder vacuuming
    • DBMS settings
    • Differences between Apache Cloudberry™ and Greenplum®
  • Access management
  • Pricing policy
  • Terraform reference
  • Monitoring metrics
  • Audit Trails events
  • Public materials
  • Release notes

In this article:

  • Available host classes
  • Using dedicated hosts
  1. Concepts
  2. Host classes

Yandex MPP Analytics for PostgreSQL host classes

Written by
Yandex Cloud
Updated at July 28, 2026
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  • Available host classes
  • Using dedicated hosts

The host class determines the computing power allocated for each host in a cluster. In a Yandex MPP Analytics for PostgreSQL cluster, the classes of master hosts and segment hosts may differ. For information on how to select host classes, see Calculating the cluster configuration.

For master hosts, the host class determines the available disk types:

  • s2, i2: local-ssd, network-ssd-nonreplicated.
  • s3, i3: network-ssd, local-ssd, network-ssd-nonreplicated, network-ssd-io-m3.

For segment hosts, the following disk types are available:

  • local-ssd
  • network-ssd-nonreplicated
  • network-ssd-io-m3

The network-ssd-nonreplicated type is available for clusters with up to four segment hosts.

The available storage size does not depend on the host class. For storage limitations, see Quotas and limits.

Available host classesAvailable host classes

Yandex MPP Analytics for PostgreSQL cluster hosts are deployed on Yandex Compute Cloud virtual machines on Intel Cascade Lake and Intel Ice Lake platforms with a guaranteed vCPU share of 100%. The full list of possible host configurations is provided below.

The available host configurations for each of the platforms depend on the following factors:

  • Database management system.
  • Processor type.
  • Allocated quota.
  • Availability zone.

For example, ru-central1-d does not support Intel Broadwell and local SSD storage if Intel Cascade Lake is used.

Configuration types:

  • s2, s3: Standard configurations with 4 GB:1 RAM-to-vCPU ratio.
  • i2, i3: Configurations with 8 GB:1 RAM-to-vCPU ratio. These configurations are well suited for clusters with high cache requirements. Hosts with this configuration run in a software-accelerated network, which substantially affects cluster costs.
Host class name Number of vCPUs vCPU performance RAM, GB Disk
size, GB
Intel Cascade Lake
s2.medium 8 100% 32 93 — 8,184
s2.large 12 100% 48 93 — 8,184
i2.2xlarge 16 100% 128 93 — 8,184
i2.4xlarge 32 100% 256 93 — 8,184
i2.5xlarge 40 100% 320 93 — 8,184
Intel Ice Lake
s3-c8-m32 8 100% 32 10 — 8,192
s3-c12-m48 12 100% 48 10 — 8,192
i3-c16-m128 16 100% 128 10 — 8,192
i3-c32-m256 32 100% 256 10 — 8,192
i3-c40-m320 40 100% 320 10 — 8,192
AMD Zen 4
c4a-c16-m32 16 100% 32 10 — 8,192
c4a-c32-m64 32 100% 64 10 — 8,192
c4a-c64-m128 64 100% 128 10 — 8,192
c4a-c96-m192 96 100% 192 10 — 8,192
c4a-c128-m256 128 100% 256 10 — 8,192
c4a-c224-m448 224 100% 448 10 — 8,192
c4a-c256-m512 256 100% 512 10 — 8,192
s4a-c16-m64 16 100% 64 10 — 8,192
s4a-c32-m128 32 100% 128 10 — 8,192
s4a-c64-m256 64 100% 256 10 — 8,192
s4a-c96-m384 96 100% 384 10 — 8,192
s4a-c128-m512 128 100% 512 10 — 8,192
s4a-c224-m896 224 100% 896 10 — 8,192
s4a-c256-m1024 256 100% 1 024 10 — 8,192
m4a-c16-m128 16 100% 128 10 — 8,192
m4a-c32-m256 32 100% 256 10 — 8,192
m4a-c64-m512 64 100% 512 10 — 8,192
m4a-c96-m768 96 100% 768 10 — 8,192
m4a-c128-m1024 128 100% 1,024 10 — 8,192
m4a-c224-m1792 224 100% 1,792 10 — 8,192
AMD Zen 4 HighFreq
c4af-c16-m32 16 100% 32 10 — 8,192
c4af-c32-m64 32 100% 64 10 — 8,192
c4af-c48-m96 48 100% 96 10 — 8,192
c4af-c80-m160 80 100% 160 10 — 8,192
s4af-c16-m64 16 100% 64 10 — 8,192
s4af-c32-m128 32 100% 128 10 — 8,192
s4af-c48-m192 48 100% 192 10 — 8,192
s4af-c80-m320 80 100% 320 10 — 8,192
m4af-c16-m128 16 100% 128 10 — 8,192
m4af-c32-m256 32 100% 256 10 — 8,192
m4af-c48-m384 48 100% 384 10 — 8,192
m4af-c80-m640 80 100% 640 10 — 8,192

Using dedicated hostsUsing dedicated hosts

You can use dedicated hosts for your master hosts, segment hosts, or all your cluster's hosts at the same time. In which case the cluster's hosts will reside on dedicated hosts from the group you select.

A cluster on dedicated hosts will have the following available to it:

  • Configurations of the platform the group's dedicated hosts were created on.
  • The whole local disk (local-ssd) volume of the dedicated host. The maximum storage size per host is greater than if standard VMs are used.

Network drives are also available on dedicated hosts.

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© 2026 Direct Cursus Technology L.L.C.