[Yandex Cloud documentation](../../index.md) > [Yandex Managed Service for Apache Kafka®](../index.md) > [Concepts](index.md) > Host classes # Apache Kafka® 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 to match it. The host class determines the available [disk types](storage.md): * **s2**, **m2**, **s3**, **m3**: `network-ssd`, `network-hdd`, `local-ssd`, `network-ssd-nonreplicated`, `network-ssd-io-m3`. * **b2**, **b3**: `network-ssd`, `network-hdd`. 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 Managed Service for Apache Kafka® 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). The full list of possible host configurations on each platform is provided below. {% note info %} For cluster hosts residing in the `ru-central1-d` [availability zone](../../overview/concepts/geo-scope.md), you cannot use local SSD storage if you select Intel Cascade Lake. {% endnote %} Configuration types: * **s2**, **s3**: Standard configurations with a 4:1 RAM-to-vCPU ratio. * **m2**, **m3**: Configurations with an increased RAM-to-vCPU ratio (8:1). These configurations are well suited for clusters with high cache requirements. * **b2**, **b3**: Configurations with a guaranteed vCPU share under 100%. This host class is intended for test workloads. The minimum recommended host configuration for production solutions is two vCPUs with a guaranteed share of 50%. | Host class name | Number of vCPUs | Guaranteed vCPU share | RAM, GB | Disk
size, GB | |-------------------|-----------------|---------------------------|---------|----------------------| | **Intel Cascade Lake** | | b2.medium | 2 | 50% | 4 | 10 - 8,192 | | m2.micro | 2 | 100% | 16 | 10 - 32,736 | | m2.small | 4 | 100% | 32 | 10 - 32,736 | | m2.medium | 6 | 100% | 48 | 10 - 32,736 | | m2.large | 8 | 100% | 64 | 10 - 32,736 | | m2.xlarge | 12 | 100% | 96 | 10 - 32,736 | | m2.2xlarge | 16 | 100% | 128 | 10 - 32,736 | | m2.3xlarge | 24 | 100% | 192 | 10 - 32,736 | | m2.4xlarge | 32 | 100% | 256 | 10 - 32,736 | | m2.5xlarge | 40 | 100% | 320 | 10 - 32,736 | | m2.6xlarge | 48 | 100% | 384 | 10 - 32,736 | | m2.7xlarge | 56 | 100% | 448 | 10 - 32,736 | | m2.8xlarge | 64 | 100% | 512 | 10 - 32,736 | | s2.micro | 2 | 100% | 8 | 10 - 32,736 | | s2.small | 4 | 100% | 16 | 10 - 32,736 | | s2.medium | 8 | 100% | 32 | 10 - 32,736 | | s2.large | 12 | 100% | 48 | 10 - 32,736 | | s2.xlarge | 16 | 100% | 64 | 10 - 32,736 | | s2.2xlarge | 24 | 100% | 96 | 10 - 32,736 | | s2.3xlarge | 32 | 100% | 128 | 10 - 32,736 | | s2.4xlarge | 40 | 100% | 160 | 10 - 32,736 | | s2.5xlarge | 48 | 100% | 192 | 10 - 32,736 | | s2.6xlarge | 64 | 100% | 256 | 10 - 32,736 | | **Intel Ice Lake** | | b3-c1-m4 | 2 | 50% | 4 | 10 - 8,192 | | s3-c2-m8 | 2 | 100% | 8 | 10 - 32,736 | | s3-c4-m16 | 4 | 100% | 16 | 10 - 32,736 | | s3-c8-m32 | 8 | 100% | 32 | 10 - 32,736 | | s3-c12-m48 | 12 | 100% | 48 | 10 - 32,736 | | s3-c16-m64 | 16 | 100% | 64 | 10 - 32,736 | | s3-c24-m96 | 24 | 100% | 96 | 10 - 32,736 | | s3-c32-m128 | 32 | 100% | 128 | 10 - 32,736 | | s3-c40-m160 | 40 | 100% | 160 | 10 - 32,736 | | s3-c48-m192 | 48 | 100% | 192 | 10 - 32,736 | | s3-c64-m256 | 64 | 100% | 256 | 10 - 32,736 | | s3-c80-m320 | 80 | 100% | 320 | 10 - 32,736 | | s3-c96-m576 | 96 | 100% | 576 | 10 - 32,736 | | m3-c2-m16 | 2 | 100% | 16 | 10 - 32,736 | | m3-c4-m32 | 4 | 100% | 32 | 10 - 32,736 | | m3-c6-m48 | 6 | 100% | 48 | 10 - 32,736 | | m3-c8-m64 | 8 | 100% | 64 | 10 - 32,736 | | m3-c12-m96 | 12 | 100% | 96 | 10 - 32,736 | | m3-c16-m128 | 16 | 100% | 128 | 10 - 32,736 | | m3-c24-m192 | 24 | 100% | 192 | 10 - 32,736 | | m3-c32-m256 | 32 | 100% | 256 | 10 - 32,736 | | m3-c40-m320 | 40 | 100% | 320 | 10 - 32,736 | | m3-c48-m384 | 48 | 100% | 384 | 10 - 32,736 | | m3-c56-m448 | 56 | 100% | 448 | 10 - 32,736 | | m3-c64-m512 | 64 | 100% | 512 | 10 - 32,736 | | m3-c80-m640 | 80 | 100% | 640 | 10 - 32,736 | | **AMD Zen 4** | | s4a-c2-m8 | 2 | 100% | 8 | 10 - 32,768 | | s4a-c4-m16 | 4 | 100% | 16 | 10 - 32,768 | | s4a-c8-m32 | 8 | 100% | 32 | 10 - 32,768 | | s4a-c16-m64 | 16 | 100% | 64 | 10 - 32,768 | | s4a-c32-m128 | 32 | 100% | 128 | 10 - 32,768 | | s4a-c64-m256 | 64 | 100% | 256 | 10 - 32,768 | | s4a-c96-m384 | 96 | 100% | 384 | 10 - 32,768 | | s4a-c128-m512 | 128 | 100% | 512 | 10 - 32,768 | | s4a-c224-m896 | 224 | 100% | 896 | 10 - 32,768 | | s4a-c256-m1024 | 256 | 100% | 1 024 | 10 - 32,768 | | m4a-c2-m16 | 2 | 100% | 16 | 10 - 32,768 | | m4a-c4-m32 | 4 | 100% | 32 | 10 - 32,768 | | m4a-c8-m64 | 8 | 100% | 64 | 10 - 32,768 | | m4a-c16-m128 | 16 | 100% | 128 | 10 - 32,768 | | m4a-c32-m256 | 32 | 100% | 256 | 10 - 32,768 | | m4a-c64-m512 | 64 | 100% | 512 | 10 - 32,768 | | m4a-c96-m768 | 96 | 100% | 768 | 10 - 32,768 | | m4a-c128-m1024 | 128 | 100% | 1 024 | 10 - 32,768 | | m4a-c224-m1792 | 224 | 100% | 1 792 | 10 - 32,768 | | **AMD Zen 4 HighFreq** | | s4af-c2-m8 | 2 | 100% | 8 | 10 - 32,768 | | s4af-c4-m16 | 4 | 100% | 16 | 10 - 32,768 | | s4af-c8-m32 | 8 | 100% | 32 | 10 - 32,768 | | s4af-c16-m64 | 16 | 100% | 64 | 10 - 32,768 | | s4af-c32-m128 | 32 | 100% | 128 | 10 - 32,768 | | s4af-c48-m192 | 48 | 100% | 192 | 10 - 32,768 | | s4af-c80-m320 | 80 | 100% | 320 | 10 - 32,768 | | m4af-c2-m16 | 2 | 100% | 16 | 10 - 32,768 | | m4af-c4-m32 | 4 | 100% | 32 | 10 - 32,768 | | m4af-c8-m64 | 8 | 100% | 64 | 10 - 32,768 | | m4af-c16-m128 | 16 | 100% | 128 | 10 - 32,768 | | m4af-c32-m256 | 32 | 100% | 256 | 10 - 32,768 | | m4af-c48-m384 | 48 | 100% | 384 | 10 - 32,768 | | m4af-c80-m640 | 80 | 100% | 640 | 10 - 32,768 |