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Yandex Managed Service for MySQL®
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  1. Concepts
  2. Host classes
  3. Active host classes

MySQL® host classes

Written by
Yandex Cloud
Updated at November 26, 2025

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

The host class determines the available disk types:

  • s1, s2, s3, m2, m3, c3: network-ssd, network-hdd, local-ssd, network-ssd-nonreplicated, network-ssd-io-m3.
  • b1, b2: network-ssd, network-hdd.

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

Available host classesAvailable host classes

Hosts in Managed Service for MySQL® clusters are deployed on Yandex Compute Cloud VMs. You can create these VMs on any platforms Compute Cloud supports. To learn more about the platforms, see Platforms.

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

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.

Configuration types:

  • s1, s2, s3: Standard configurations with a 4:1 RAM GB to vCPU ratio.

  • m2, m3: Configurations with an increased RAM GB to vCPU ratio (8:1). These configurations may be useful for clusters with higher cache requirements.

  • c3: Configurations with a reduced RAM GB to vCPU ratio (2:1). These configurations may be useful for clusters with higher processor performance requirements.

  • b1, b2: Configurations with a guaranteed vCPU share under 100%. This host class is intended for test load, while the minimum recommended host configuration for production solutions is two vCPUs with a guaranteed share of 100%.

    Note

    Hosts with a guaranteed vCPU share under 50% cannot be used in multi-host clusters.

Tip

To be able to create clusters with the s2.7xlarge and m2.9xlarge host classes, contact technical support.

Host class name Number of vCPUs CPU performance RAM, GB Disk
size, GB
Intel Broadwell
b1.medium 2 50% 4 10 – 512
s1.micro 2 100% 8 10 – 8,184
s1.small 4 100% 16 10 – 8,184
s1.medium 8 100% 32 10 – 8,184
s1.large 16 100% 64 10 – 8,184
s1.xlarge 32 100% 128 10 – 8,184
Intel Cascade Lake
b2.medium 2 50% 4 10 – 512
m2.micro 2 100% 16 10 – 8,184
m2.small 4 100% 32 10 – 8,184
m2.medium 6 100% 48 10 – 8,184
m2.large 8 100% 64 10 – 8,184
m2.xlarge 12 100% 96 10 – 8,184
m2.2xlarge 16 100% 128 10 – 8,184
m2.3xlarge 24 100% 192 10 – 8,184
m2.4xlarge 32 100% 256 10 – 8,184
m2.5xlarge 40 100% 320 10 – 8,184
m2.6xlarge 48 100% 384 10 – 8,184
m2.7xlarge 56 100% 448 10 – 8,184
m2.8xlarge 64 100% 512 10 – 8,184
m2.9xlarge 80 100% 640 100 – 1,500
s2.micro 2 100% 8 10 – 8,184
s2.small 4 100% 16 10 – 8,184
s2.medium 8 100% 32 10 – 8,184
s2.large 12 100% 48 10 – 8,184
s2.xlarge 16 100% 64 10 – 8,184
s2.2xlarge 24 100% 96 10 – 8,184
s2.3xlarge 32 100% 128 10 – 8,184
s2.4xlarge 40 100% 160 10 – 8,184
s2.5xlarge 48 100% 192 10 – 8,184
s2.6xlarge 64 100% 256 10 – 8,184
s2.7xlarge 80 100% 320 100 – 1,500
Intel Ice Lake
s3-c2-m8 2 100% 8 10 – 8,184
s3-c4-m16 4 100% 16 10 – 8,184
s3-c8-m32 8 100% 32 10 – 8,184
s3-c12-m48 12 100% 48 10 – 8,184
s3-c16-m64 16 100% 64 10 – 8,184
s3-c24-m96 24 100% 96 10 – 8,184
s3-c32-m128 32 100% 128 10 – 8,184
s3-c40-m160 40 100% 160 10 – 8,184
s3-c48-m192 48 100% 192 10 – 8,184
s3-c64-m256 64 100% 256 10 – 8,184
s3-c80-m320 80 100% 320 10 – 8,184
s3-c96-m576 96 100% 576 10 – 8,184
m3-c2-m16 2 100% 16 10 – 8,184
m3-c4-m32 4 100% 32 10 – 8,184
m3-c6-m48 6 100% 48 10 – 8,184
m3-c8-m64 8 100% 64 10 – 8,184
m3-c12-m96 12 100% 96 10 – 8,184
m3-c16-m128 16 100% 128 10 – 8,184
m3-c24-m192 24 100% 192 10 – 8,184
m3-c32-m256 32 100% 256 10 – 8,184
m3-c40-m320 40 100% 320 10 – 8,184
m3-c48-m384 48 100% 384 10 – 8,184
m3-c56-m448 56 100% 448 10 – 8,184
m3-c64-m512 64 100% 512 10 – 8,184
m3-c80-m640 80 100% 640 10 – 8,184
c3-c2-m4 2 100% 4 10 – 8,184
c3-c4-m8 4 100% 8 10 – 8,184
c3-c8-m16 8 100% 16 10 – 8,184
c3-c12-m24 12 100% 24 10 – 8,184
c3-c16-m32 16 100% 32 10 – 8,184
c3-c24-m48 24 100% 48 10 – 8,184
c3-c32-m64 32 100% 64 10 – 8,184
c3-c40-m80 40 100% 80 10 – 8,184
c3-c48-m96 48 100% 96 10 – 8,184
c3-c64-m128 64 100% 128 10 – 8,184
c3-c80-m160 80 100% 160 10 – 8,184
c3-c96-m192 96 100% 192 10 – 8,184
AMD Zen 4
s4a-c2-m8 2 100% 8 10 – 20,460
s4a-c4-m16 4 100% 16 10 – 20,460
s4a-c8-m32 8 100% 32 10 – 20,460
s4a-c16-m64 16 100% 64 10 – 20,460
s4a-c32-m128 32 100% 128 10 – 20,460
s4a-c64-m256 64 100% 256 10 – 20,460
s4a-c96-m384 96 100% 384 10 – 20,460
s4a-c128-m512 128 100% 512 10 – 20,460
s4a-c224-m896 224 100% 896 10 – 20,460
s4a-c256-m1024 256 100% 1,024 10 – 20,460
c4a-c2-m4 2 100% 4 10 – 20,460
c4a-c4-m8 4 100% 8 10 – 20,460
c4a-c8-m16 8 100% 16 10 – 20,460
c4a-c16-m32 16 100% 32 10 – 20,460
c4a-c32-m64 32 100% 64 10 – 20,460
c4a-c64-m128 64 100% 128 10 – 20,460
c4a-c96-m192 96 100% 192 10 – 20,460
c4a-c128-m256 128 100% 256 10 – 20,460
c4a-c224-m448 224 100% 448 10 – 20,460
c4a-c256-m512 256 100% 512 10 – 20,460
m4a-c2-m16 2 100% 16 10 – 20,460
m4a-c4-m32 4 100% 32 10 – 20,460
m4a-c8-m64 8 100% 64 10 – 20,460
m4a-c16-m128 16 100% 128 10 – 20,460
m4a-c32-m256 32 100% 256 10 – 20,460
m4a-c64-m512 64 100% 512 10 – 20,460
m4a-c96-m768 96 100% 768 10 – 20,460
m4a-c128-m1024 128 100% 1,024 10 – 20,460
m4a-c224-m1792 224 100% 1,792 10 – 20,460
AMD Zen 4 HighFreq
s4af-c2-m8 2 100% 8 10 – 20,460
s4af-c4-m16 4 100% 16 10 – 20,460
s4af-c8-m32 8 100% 32 10 – 20,460
s4af-c16-m64 16 100% 64 10 – 20,460
s4af-c32-m128 32 100% 128 10 – 20,460
s4af-c48-m192 48 100% 192 10 – 20,460
s4af-c80-m320 80 100% 320 10 – 20,460
c4af-c2-m4 2 100% 4 10 – 20,460
c4af-c4-m8 4 100% 8 10 – 20,460
c4af-c8-m16 8 100% 16 10 – 20,460
c4af-c16-m32 16 100% 32 10 – 20,460
c4af-c32-m64 32 100% 64 10 – 20,460
c4af-c48-m96 48 100% 96 10 – 20,460
c4af-c80-m160 80 100% 160 10 – 20,460
m4af-c2-m16 2 100% 16 10 – 20,460
m4af-c4-m32 4 100% 32 10 – 20,460
m4af-c8-m64 8 100% 64 10 – 20,460
m4af-c16-m128 16 100% 128 10 – 20,460
m4af-c32-m256 32 100% 256 10 – 20,460
m4af-c48-m384 48 100% 384 10 – 20,460
m4af-c80-m640 80 100% 640 10 – 20,460

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