[Yandex Cloud documentation](../../../index.md) > [Yandex Data Processing](../../index.md) > [Concepts](../index.md) > Host classes > Archive > Before June 20, 2023

# Yandex Data Processing host classes before June 20, 2023

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).

The full list of possible host configurations on each platform is provided below.

| Host class name | Number of CPUs | CPU performance | RAM, GB | Disk <br>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            |