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Yandex Managed Service for Valkey™
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  1. Concepts
  2. Host classes
  3. Active host classes

Valkey™ host classes

Written by
Yandex Cloud
Updated at April 9, 2025

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

Note

The amount of memory allocated to a host also depends on the maxmemory configuration parameter for Valkey™ hosts: the maximum amount of data equals 75% of available memory. For more information, see Memory management.

The host class also determines which disk types are available:

  • hm1: network-ssd, local-ssd.
  • hm2, hm3: network-ssd, local-ssd, network-ssd-nonreplicated, network-ssd-io-m3.
  • b2, b3: network-ssd.

The storage space available to the host should be at least twice as large as the selected memory size. For more information on Yandex Managed Service for Valkey™ technical and organizational limitations, see Quotas and limits.

Available host classes

Configuration types:

  • burstable: Configurations with a guaranteed vCPU share under 100%. Those host classes are intended for test loads. We do not recommend using them for production solutions.

    A cluster with this configuration type can only contain one host per cluster or shard.

  • high-memory: Standard configurations for Valkey™.

    A cluster with this configuration type may contain one or more hosts (within the current quota) per cluster or shard. The minimum number of hosts per cluster depends on the selected disk type.

Note

Not available for clusters with hosts residing in the ru-central1-d availability zone:

  • Intel Broadwell platform
  • Local SSD storage if using Intel Cascade Lake

Alert

Starting January 1, 2024, the following existing host classes are deprecated: b1.nano, b1.micro, b1.small, b2.nano, b2.micro, and b2.small. New hosts of these classes cannot be created since June 20, 2023.

Host class name Number of CPUs RAM, GB CPU performance Disk
size, GB
Intel Broadwell
hm1.nano 2 8 100% 16 - 4096
hm1.micro 2 12 100% 24 - 4096
hm1.small 2 16 100% 32 - 4096
hm1.medium 4 24 100% 48 - 4096
hm1.large 4 32 100% 64 - 4096
hm1.xlarge 4 48 100% 96 - 4096
hm1.2xlarge 4 64 100% 128 - 4096
hm1.3xlarge 4 80 100% 160 - 4096
hm1.4xlarge 8 96 100% 192 - 4096
hm1.5xlarge 8 128 100% 256 - 4096
hm1.6xlarge 8 160 100% 320 - 4096
hm1.7xlarge 8 192 100% 384 - 4096
hm1.8xlarge 8 224 100% 448 - 4096
hm1.9xlarge 8 256 100% 512 - 4096
Intel Cascade Lake
b2.medium 2 4 50% 8 - 32
hm2.nano 2 8 100% 16 - 8184
hm2.micro 2 12 100% 24 - 8184
hm2.small 4 16 100% 32 - 8184
hm2.medium 4 24 100% 48 - 8184
hm2.large 4 32 100% 64 - 8184
hm2.xlarge 4 48 100% 96 - 8184
hm2.96xlarge 6 96 100% 192 - 8184
hm2.128xlarge 8 128 100% 256 - 8184
hm2.160xlarge 10 160 100% 320 - 8184
hm2.192xlarge 12 192 100% 384 - 8184
hm2.224xlarge 14 224 100% 448 - 8184
hm2.256xlarge 16 256 100% 512 - 8184
hm2.320xlarge 20 320 100% 640 - 8184
hm2.384xlarge 24 384 100% 768 - 8184
hm2.448xlarge 28 448 100% 896 - 8184
hm2.512xlarge 32 512 100% 1024 - 8184
Intel Ice Lake
b3-c1-m4 2 4 50% 8 - 32
hm3-c2-m8 2 8 100% 16 - 8184
hm3-c2-m12 2 12 100% 24 - 8184
hm3-c4-m16 4 16 100% 32 - 8184
hm3-c4-m24 4 24 100% 48 - 8184
hm3-c4-m32 4 32 100% 64 - 8184
hm3-c4-m48 4 48 100% 96 - 8184
hm3-c6-m60 6 60 100% 120 - 8184
hm3-c6-m78 6 78 100% 156 - 8184
hm3-c6-m96 6 96 100% 192 - 8184
hm3-c8-m128 8 128 100% 256 - 8184
hm3-c12-m192 12 192 100% 384 - 8184
hm3-c14-m224 14 224 100% 448 - 8184
hm3-c16-m256 16 256 100% 512 - 8184
hm3-c20-m320 20 320 100% 640 - 8184

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