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Yandex Managed Service for Valkey™
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        • Before June 20, 2023
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  1. Concepts
  2. Host classes
  3. Archive
  4. Before June 20, 2023

Valkey™ host classes before June 20, 2023

Written by
Yandex Cloud
Updated at February 18, 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: network-ssd, local-ssd, network-ssd-nonreplicated
  • hm3: network-ssd, network-ssd-nonreplicated
  • b1, 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 Managed Service for Redis technical and organizational limitations, see Quotas and limits.

Available host classesAvailable 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.

Host class name Number of CPUs RAM, GB CPU performance Disk
size, GB
Intel Broadwell
b1.nano 2 2 5% 4 - 16
b1.small 2 4 20% 8 - 32
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.nano 2 2 5% 4 - 16
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
hm3-c24-m384 24 384 100% 768 - 8184
hm3-c28-m448 28 448 100% 896 - 8184
hm3-c32-m512 32 512 100% 1024 - 8184

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