[Yandex Cloud documentation](../../index.md) > [Yandex Data Processing](../index.md) > [Concepts](index.md) > Host classes > Active host classes # 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](limits.md). ## Available host classes {#available-flavors} 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](../../compute/concepts/vm-platforms.md). A suitable host class depends on driver deploy mode: * In `deployMode=cluster` mode, when the driver runs on one of the cluster's `compute` hosts, a subcluster with the `master` host requires 4–8 CPU cores and 16 GB of RAM. * In `deployMode=client` mode, when the driver run on the cluster's master host, the compute capacity depends on the job logic and the number of concurrent jobs. For more information on driver deploy modes and computing resource usage, see [Resource allocation](spark-sql.md#resource-management). The full list of possible host configurations on each platform is provided below. {% note info %} The Intel Broadwell platform is not available for clusters with hosts residing in the `ru-central1-d` [availability zone](../../overview/concepts/geo-scope.md). {% endnote %} {% note alert %} Starting January 1, 2024, the following host classes are out of service: `b1.nano`, `b1.micro`, `b1.small`, `b2.nano`, `b2.micro`, and `b2.small`. You will not be able to create hosts of these types starting June 20, 2023. {% endnote %} | Host class name | Number of CPUs | CPU performance | RAM, GB | Disk
size, GB | |-------------------|----------------|------------------------|---------|----------------------| | **Intel Broadwell** | | g1.small | 8 | 100% | 96 | 20 — 8,184 | | m1.micro | 2 | 100% | 16 | 20 — 8,184 | | m1.small | 4 | 100% | 32 | 20 — 8,184 | | m1.medium | 6 | 100% | 48 | 20 — 8,184 | | m1.large | 8 | 100% | 64 | 20 — 8,184 | | m1.xlarge | 12 | 100% | 96 | 20 — 8,184 | | m1.2xlarge | 16 | 100% | 128 | 20 — 8,184 | | m1.3xlarge | 24 | 100% | 192 | 20 — 8,184 | | m1.4xlarge | 32 | 100% | 256 | 20 — 8,184 | | s1.nano | 1 | 100% | 4 | 20 — 8,184 | | s1.micro | 2 | 100% | 8 | 20 — 8,184 | | s1.small | 4 | 100% | 16 | 20 — 8,184 | | s1.medium | 8 | 100% | 32 | 20 — 8,184 | | s1.large | 16 | 100% | 64 | 20 — 8,184 | | s1.xlarge | 32 | 100% | 128 | 20 — 8,184 | | **Intel Cascade Lake** | | b2.medium | 2 | 50% | 4 | 20 — 8,184 | | m2.micro | 2 | 100% | 16 | 20 — 8,184 | | m2.small | 4 | 100% | 32 | 20 — 8,184 | | m2.medium | 6 | 100% | 48 | 20 — 8,184 | | m2.large | 8 | 100% | 64 | 20 — 8,184 | | m2.xlarge | 12 | 100% | 96 | 20 — 8,184 | | m2.2xlarge | 16 | 100% | 128 | 20 — 8,184 | | m2.3xlarge | 24 | 100% | 192 | 20 — 8,184 | | m2.4xlarge | 32 | 100% | 256 | 20 — 8,184 | | m2.5xlarge | 40 | 100% | 320 | 20 — 8,184 | | m2.6xlarge | 48 | 100% | 384 | 20 — 8,184 | | m2.7xlarge | 56 | 100% | 448 | 20 — 8,184 | | m2.8xlarge | 64 | 100% | 512 | 20 — 8,184 | | s2.micro | 2 | 100% | 8 | 20 — 8,184 | | s2.small | 4 | 100% | 16 | 20 — 8,184 | | s2.medium | 8 | 100% | 32 | 20 — 8,184 | | s2.large | 12 | 100% | 48 | 20 — 8,184 | | s2.xlarge | 16 | 100% | 64 | 20 — 8,184 | | s2.2xlarge | 24 | 100% | 96 | 20 — 8,184 | | s2.3xlarge | 32 | 100% | 128 | 20 — 8,184 | | s2.4xlarge | 40 | 100% | 160 | 20 — 8,184 | | s2.5xlarge | 48 | 100% | 192 | 20 — 8,184 | | s2.6xlarge | 64 | 100% | 256 | 20 — 8,184 | | **Intel Ice Lake** | | b3-c1-m4 | 2 | 50% | 4 | 20 — 8,184 | | c3-c2-m4 | 2 | 100% | 4 | 20 — 8,184 | | c3-c4-m8 | 4 | 100% | 8 | 20 — 8,184 | | c3-c8-m16 | 8 | 100% | 16 | 20 — 8,184 | | c3-c12-m24 | 12 | 100% | 24 | 20 — 8,184 | | c3-c16-m32 | 16 | 100% | 32 | 20 — 8,184 | | c3-c24-m48 | 24 | 100% | 48 | 20 — 8,184 | | c3-c32-m64 | 32 | 100% | 64 | 20 — 8,184 | | c3-c40-m80 | 40 | 100% | 80 | 20 — 8,184 | | c3-c48-m96 | 48 | 100% | 96 | 20 — 8,184 | | c3-c64-m128 | 64 | 100% | 128 | 20 — 8,184 | | c3-c80-m160 | 80 | 100% | 160 | 20 — 8,184 | | c3-c96-m192 | 96 | 100% | 192 | 20 — 8,184 | | s3-c2-m8 | 2 | 100% | 8 | 20 — 8,184 | | s3-c4-m16 | 4 | 100% | 16 | 20 — 8,184 | | s3-c8-m32 | 8 | 100% | 32 | 20 — 8,184 | | s3-c12-m48 | 12 | 100% | 48 | 20 — 8,184 | | s3-c16-m64 | 16 | 100% | 64 | 20 — 8,184 | | s3-c24-m96 | 24 | 100% | 96 | 20 — 8,184 | | s3-c32-m128 | 32 | 100% | 128 | 20 — 8,184 | | s3-c40-m160 | 40 | 100% | 160 | 20 — 8,184 | | s3-c48-m192 | 48 | 100% | 192 | 20 — 8,184 | | s3-c64-m256 | 64 | 100% | 256 | 20 — 8,184 | | s3-c80-m320 | 80 | 100% | 320 | 20 — 8,184 | | s3-c96-m576 | 96 | 100% | 576 | 20 — 8,184 | | m3-c2-m16 | 2 | 100% | 16 | 20 — 8,184 | | m3-c4-m32 | 4 | 100% | 32 | 20 — 8,184 | | m3-c6-m48 | 6 | 100% | 48 | 20 — 8,184 | | m3-c8-m64 | 8 | 100% | 64 | 20 — 8,184 | | m3-c12-m96 | 12 | 100% | 96 | 20 — 8,184 | | m3-c16-m128 | 16 | 100% | 128 | 20 — 8,184 | | m3-c24-m192 | 24 | 100% | 192 | 20 — 8,184 | | m3-c32-m256 | 32 | 100% | 256 | 20 — 8,184 | | m3-c40-m320 | 40 | 100% | 320 | 20 — 8,184 | | m3-c48-m384 | 48 | 100% | 384 | 20 — 8,184 | | m3-c56-m448 | 56 | 100% | 448 | 20 — 8,184 | | m3-c64-m512 | 64 | 100% | 512 | 20 — 8,184 | | m3-c80-m640 | 80 | 100% | 640 | 20 — 8,184 | | **AMD Zen 4** | | c4a-c2-m4 | 2 | 100% | 4 | 20 — 8,184 | | c4a-c4-m8 | 4 | 100% | 8 | 20 — 8,184 | | c4a-c8-m16 | 8 | 100% | 16 | 20 — 8,184 | | c4a-c16-m32 | 16 | 100% | 32 | 20 — 8,184 | | c4a-c32-m64 | 32 | 100% | 64 | 20 — 8,184 | | c4a-c64-m128 | 64 | 100% | 128 | 20 — 8,184 | | c4a-c96-m192 | 96 | 100% | 192 | 20 — 8,184 | | c4a-c128-m256 | 128 | 100% | 256 | 20 — 8,184 | | c4a-c224-m448 | 224 | 100% | 448 | 20 — 8,184 | | c4a-c256-m512 | 256 | 100% | 512 | 20 — 8,184 | | s4a-c2-m8 | 2 | 100% | 8 | 20 — 8,184 | | s4a-c4-m16 | 4 | 100% | 16 | 20 — 8,184 | | s4a-c8-m32 | 8 | 100% | 32 | 20 — 8,184 | | s4a-c16-m64 | 16 | 100% | 64 | 20 — 8,184 | | s4a-c32-m128 | 32 | 100% | 128 | 20 — 8,184 | | s4a-c64-m256 | 64 | 100% | 256 | 20 — 8,184 | | s4a-c96-m384 | 96 | 100% | 384 | 20 — 8,184 | | s4a-c128-m512 | 128 | 100% | 512 | 20 — 8,184 | | s4a-c224-m896 | 224 | 100% | 896 | 20 — 8,184 | | s4a-c256-m1024 | 256 | 100% | 1,024 | 20 — 8,184 | | m4a-c2-m16 | 2 | 100% | 16 | 20 — 8,184 | | m4a-c4-m32 | 4 | 100% | 32 | 20 — 8,184 | | m4a-c8-m64 | 8 | 100% | 64 | 20 — 8,184 | | m4a-c16-m128 | 16 | 100% | 128 | 20 — 8,184 | | m4a-c32-m256 | 32 | 100% | 256 | 20 — 8,184 | | m4a-c64-m512 | 64 | 100% | 512 | 20 — 8,184 | | m4a-c96-m768 | 96 | 100% | 768 | 20 — 8,184 | | m4a-c128-m1024 | 128 | 100% | 1,024 | 20 — 8,184 | | m4a-c224-m1792 | 224 | 100% | 1,792 | 20 — 8,184 |