Yandex Data Processing host classes
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 available storage size does not depend on the host class. For storage limitations, see Quotas and limits.
Available host classes
Hosts in Yandex Data Processing clusters are deployed on Yandex Compute Cloud VMs. You can create these VMs on any platforms Compute Cloud supports. See Platforms for a detailed description.
A suitable host class depends on driver deploy mode:
- In
deployMode=cluster
mode, when the driver is deployed on one of the cluster'scompute
hosts, 4–8 CPU cores and 16 GB RAM are sufficient for the subcluster with themaster
host. - In
deployMode=client
mode, when the driver is deployed on the cluster's master host, the computing power depends on the job logic and the number of concurrently running jobs.
For more information about driver deploy modes and computing resource consumption, see Resource allocation.
The full list of possible host configurations on each platform is provided below.
Note
The Intel Broadwell platform is not available for clusters with hosts residing in the ru-central1-d
availability zone.
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 | CPU performance | RAM, GB | Disk size, GB |
---|---|---|---|---|
Intel Broadwell | ||||
g1.small | 8 | 100% | 96 | 20 - 8184 |
m1.micro | 2 | 100% | 16 | 20 - 8184 |
m1.small | 4 | 100% | 32 | 20 - 8184 |
m1.medium | 6 | 100% | 48 | 20 - 8184 |
m1.large | 8 | 100% | 64 | 20 - 8184 |
m1.xlarge | 12 | 100% | 96 | 20 - 8184 |
m1.2xlarge | 16 | 100% | 128 | 20 - 8184 |
m1.3xlarge | 24 | 100% | 192 | 20 - 8184 |
m1.4xlarge | 32 | 100% | 256 | 20 - 8184 |
s1.nano | 1 | 100% | 4 | 20 - 8184 |
s1.micro | 2 | 100% | 8 | 20 - 8184 |
s1.small | 4 | 100% | 16 | 20 - 8184 |
s1.medium | 8 | 100% | 32 | 20 - 8184 |
s1.large | 16 | 100% | 64 | 20 - 8184 |
s1.xlarge | 32 | 100% | 128 | 20 - 8184 |
Intel Cascade Lake | ||||
b2.medium | 2 | 50% | 4 | 20 - 8184 |
m2.micro | 2 | 100% | 16 | 20 - 8184 |
m2.small | 4 | 100% | 32 | 20 - 8184 |
m2.medium | 6 | 100% | 48 | 20 - 8184 |
m2.large | 8 | 100% | 64 | 20 - 8184 |
m2.xlarge | 12 | 100% | 96 | 20 - 8184 |
m2.2xlarge | 16 | 100% | 128 | 20 - 8184 |
m2.3xlarge | 24 | 100% | 192 | 20 - 8184 |
m2.4xlarge | 32 | 100% | 256 | 20 - 8184 |
m2.5xlarge | 40 | 100% | 320 | 20 - 8184 |
m2.6xlarge | 48 | 100% | 384 | 20 - 8184 |
m2.7xlarge | 56 | 100% | 448 | 20 - 8184 |
m2.8xlarge | 64 | 100% | 512 | 20 - 8184 |
s2.micro | 2 | 100% | 8 | 20 - 8184 |
s2.small | 4 | 100% | 16 | 20 - 8184 |
s2.medium | 8 | 100% | 32 | 20 - 8184 |
s2.large | 12 | 100% | 48 | 20 - 8184 |
s2.xlarge | 16 | 100% | 64 | 20 - 8184 |
s2.2xlarge | 24 | 100% | 96 | 20 - 8184 |
s2.3xlarge | 32 | 100% | 128 | 20 - 8184 |
s2.4xlarge | 40 | 100% | 160 | 20 - 8184 |
s2.5xlarge | 48 | 100% | 192 | 20 - 8184 |
s2.6xlarge | 64 | 100% | 256 | 20 - 8184 |
Intel Ice Lake | ||||
b3-c1-m4 | 2 | 50% | 4 | 20 - 8184 |
c3-c2-m4 | 2 | 100% | 4 | 20 - 8184 |
c3-c4-m8 | 4 | 100% | 8 | 20 - 8184 |
c3-c8-m16 | 8 | 100% | 16 | 20 - 8184 |
c3-c12-m24 | 12 | 100% | 24 | 20 - 8184 |
c3-c16-m32 | 16 | 100% | 32 | 20 - 8184 |
c3-c24-m48 | 24 | 100% | 48 | 20 - 8184 |
c3-c32-m64 | 32 | 100% | 64 | 20 - 8184 |
c3-c40-m80 | 40 | 100% | 80 | 20 - 8184 |
c3-c48-m96 | 48 | 100% | 96 | 20 - 8184 |
c3-c64-m128 | 64 | 100% | 128 | 20 - 8184 |
c3-c80-m160 | 80 | 100% | 160 | 20 - 8184 |
c3-c96-m192 | 96 | 100% | 192 | 20 - 8184 |
s3-c2-m8 | 2 | 100% | 8 | 20 - 8184 |
s3-c4-m16 | 4 | 100% | 16 | 20 - 8184 |
s3-c8-m32 | 8 | 100% | 32 | 20 - 8184 |
s3-c12-m48 | 12 | 100% | 48 | 20 - 8184 |
s3-c16-m64 | 16 | 100% | 64 | 20 - 8184 |
s3-c24-m96 | 24 | 100% | 96 | 20 - 8184 |
s3-c32-m128 | 32 | 100% | 128 | 20 - 8184 |
s3-c40-m160 | 40 | 100% | 160 | 20 - 8184 |
s3-c48-m192 | 48 | 100% | 192 | 20 - 8184 |
s3-c64-m256 | 64 | 100% | 256 | 20 - 8184 |
s3-c80-m320 | 80 | 100% | 320 | 20 - 8184 |
s3-c96-m576 | 96 | 100% | 576 | 20 - 8184 |
m3-c2-m16 | 2 | 100% | 16 | 20 - 8184 |
m3-c4-m32 | 4 | 100% | 32 | 20 - 8184 |
m3-c6-m48 | 6 | 100% | 48 | 20 - 8184 |
m3-c8-m64 | 8 | 100% | 64 | 20 - 8184 |
m3-c12-m96 | 12 | 100% | 96 | 20 - 8184 |
m3-c16-m128 | 16 | 100% | 128 | 20 - 8184 |
m3-c24-m192 | 24 | 100% | 192 | 20 - 8184 |
m3-c32-m256 | 32 | 100% | 256 | 20 - 8184 |
m3-c40-m320 | 40 | 100% | 320 | 20 - 8184 |
m3-c48-m384 | 48 | 100% | 384 | 20 - 8184 |
m3-c56-m448 | 56 | 100% | 448 | 20 - 8184 |
m3-c64-m512 | 64 | 100% | 512 | 20 - 8184 |
m3-c80-m640 | 80 | 100% | 640 | 20 - 8184 |