Yandex Data Processing host classes before June 20, 2023
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Updated at February 18, 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 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. To learn more about the platforms, see Platforms.
The full list of possible host configurations on each platform is provided below.
Host class name | Number of CPUs | CPU performance | RAM, GB | Disk size, GB |
---|---|---|---|---|
Intel Broadwell | ||||
b1.small | 2 | 20% | 4 | 20 - 8184 |
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.small | 2 | 20% | 4 | 20 - 8184 |
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 |