Valkey™ host classes before June 20, 2023
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 is also determined by the maxmemory
configuration parameter for Valkey™ hosts; the maximum amount of data is 75% of the 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 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 in a 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 |