PostgreSQL host classes before June 20, 2023
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Updated at September 23, 2026
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, m2:
network-ssd,network-hdd,local-ssd,network-ssd-nonreplicated. - c3, s3, m3:
network-ssd,network-hdd,network-ssd-nonreplicated. - 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 classes
Hosts in Managed Service for PostgreSQL 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.
Configuration types:
- s2, s3, s4a, s4af: Standard configurations with a GB RAM to vCPU ratio of 4:1.
- m2, m3, m4a, m4af: Configurations with an increased GB RAM to vCPU ratio (8:1). These configurations are well suited for clusters with high cache requirements.
- c3, c4a, c4af: Configurations with a reduced GB RAM to vCPU ratio (2:1). These configurations may be useful for clusters with higher processor performance requirements.
- b2: Configurations with a guaranteed vCPU share below 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%.
Hosts with a guaranteed vCPU share under 50% cannot be used in multi-host clusters.
| Host class name | Number of CPUs | CPU performance | RAM, GB | Disk size, GB |
|---|---|---|---|---|
| Intel Broadwell | ||||
| b1.nano | 2 | 5% | 2 | 10 - 25 |
| b1.micro | 2 | 20% | 2 | 10 - 50 |
| b1.medium | 2 | 50% | 4 | 10 - 512 |
| s1.micro | 2 | 100% | 8 | 10 - 10230 |
| s1.small | 4 | 100% | 16 | 10 - 10230 |
| s1.medium | 8 | 100% | 32 | 10 - 10230 |
| s1.large | 16 | 100% | 64 | 10 - 10230 |
| s1.xlarge | 32 | 100% | 128 | 10 - 10230 |
| Intel Cascade Lake | ||||
| b2.nano | 2 | 5% | 2 | 10 - 25 |
| b2.micro | 2 | 20% | 2 | 10 - 50 |
| b2.medium | 2 | 50% | 4 | 10 - 512 |
| m2.micro | 2 | 100% | 16 | 10 - 10230 |
| m2.small | 4 | 100% | 32 | 10 - 10230 |
| m2.medium | 6 | 100% | 48 | 10 - 10230 |
| m2.large | 8 | 100% | 64 | 10 - 10230 |
| m2.xlarge | 12 | 100% | 96 | 10 - 10230 |
| m2.2xlarge | 16 | 100% | 128 | 10 - 10230 |
| m2.3xlarge | 24 | 100% | 192 | 10 - 10230 |
| m2.4xlarge | 32 | 100% | 256 | 10 - 10230 |
| m2.5xlarge | 40 | 100% | 320 | 10 - 10230 |
| m2.6xlarge | 48 | 100% | 384 | 10 - 10230 |
| m2.7xlarge | 56 | 100% | 448 | 10 - 10230 |
| m2.8xlarge | 64 | 100% | 512 | 10 - 10230 |
| s2.micro | 2 | 100% | 8 | 10 - 10230 |
| s2.small | 4 | 100% | 16 | 10 - 10230 |
| s2.medium | 8 | 100% | 32 | 10 - 10230 |
| s2.large | 12 | 100% | 48 | 10 - 10230 |
| s2.xlarge | 16 | 100% | 64 | 10 - 10230 |
| s2.2xlarge | 24 | 100% | 96 | 10 - 10230 |
| s2.3xlarge | 32 | 100% | 128 | 10 - 10230 |
| s2.4xlarge | 40 | 100% | 160 | 10 - 10230 |
| s2.5xlarge | 48 | 100% | 192 | 10 - 10230 |
| s2.6xlarge | 64 | 100% | 256 | 10 - 10230 |
| Intel Ice Lake | ||||
| s3-c2-m8 | 2 | 100% | 8 | 10 - 10230 |
| s3-c4-m16 | 4 | 100% | 16 | 10 - 10230 |
| s3-c8-m32 | 8 | 100% | 32 | 10 - 10230 |
| s3-c12-m48 | 12 | 100% | 48 | 10 - 10230 |
| s3-c16-m64 | 16 | 100% | 64 | 10 - 10230 |
| s3-c24-m96 | 24 | 100% | 96 | 10 - 10230 |
| s3-c32-m128 | 32 | 100% | 128 | 10 - 10230 |
| s3-c40-m160 | 40 | 100% | 160 | 10 - 10230 |
| s3-c48-m192 | 48 | 100% | 192 | 10 - 10230 |
| s3-c64-m256 | 64 | 100% | 256 | 10 - 10230 |
| s3-c80-m320 | 80 | 100% | 320 | 10 - 10230 |
| s3-c96-m576 | 96 | 100% | 576 | 10 - 10230 |
| m3-c2-m16 | 2 | 100% | 16 | 10 - 10230 |
| m3-c4-m32 | 4 | 100% | 32 | 10 - 10230 |
| m3-c6-m48 | 6 | 100% | 48 | 10 - 10230 |
| m3-c8-m64 | 8 | 100% | 64 | 10 - 10230 |
| m3-c12-m96 | 12 | 100% | 96 | 10 - 10230 |
| m3-c16-m128 | 16 | 100% | 128 | 10 - 10230 |
| m3-c24-m192 | 24 | 100% | 192 | 10 - 10230 |
| m3-c32-m256 | 32 | 100% | 256 | 10 - 10230 |
| m3-c40-m320 | 40 | 100% | 320 | 10 - 10230 |
| m3-c48-m384 | 48 | 100% | 384 | 10 - 10230 |
| m3-c56-m448 | 56 | 100% | 448 | 10 - 10230 |
| m3-c64-m512 | 64 | 100% | 512 | 10 - 10230 |
| m3-c80-m640 | 80 | 100% | 640 | 10 - 10230 |
| c3-c2-m4 | 2 | 100% | 4 | 10 - 10230 |
| c3-c4-m8 | 4 | 100% | 8 | 10 - 10230 |
| c3-c8-m16 | 8 | 100% | 16 | 10 - 10230 |
| c3-c12-m24 | 12 | 100% | 24 | 10 - 10230 |
| c3-c16-m32 | 16 | 100% | 32 | 10 - 10230 |
| c3-c24-m48 | 24 | 100% | 48 | 10 - 10230 |
| c3-c32-m64 | 32 | 100% | 64 | 10 - 10230 |
| c3-c40-m80 | 40 | 100% | 80 | 10 - 10230 |
| c3-c48-m96 | 48 | 100% | 96 | 10 - 10230 |
| c3-c64-m128 | 64 | 100% | 128 | 10 - 10230 |
| c3-c80-m160 | 80 | 100% | 160 | 10 - 10230 |
| c3-c96-m192 | 96 | 100% | 192 | 10 - 10230 |