When you create a Kubernetes cluster in Google Distributed Cloud (GDC) air-gapped, you create node pools that are responsible for running your container workloads in the cluster. You provision nodes based on your container workload requirements, and can update them as your requirements evolve.
GDC provides predefined machine types for your worker nodes that are selectable when you add a node pool. There are also multiple ways to partition separate GPU instances using the Multi-Instance GPU (MIG) feature.
Reference the following sections for available machine types and GPU support.
Available machine types
GDC defines machine types with some parameters
for a Kubernetes cluster node, which include CPU, memory, and GPU.
GDC has various machine types for different purposes.
For example, clusters use n2-standard-4-gdc for general purpose container
workloads. If you plan to run artificial intelligence (AI) and
machine learning (ML) notebooks, you must provision GPU machines, such as
a2-highgpu-1g-gdc.
The following is a list of all GDC predefined machine types available for Kubernetes cluster worker nodes:
| Name | vCPUs | Memory | GPU |
|---|---|---|---|
| n2-standard-4-gdc | 4 | 16G | N/A |
| n2-standard-8-gdc | 8 | 32G | N/A |
| n2-standard-16-gdc | 16 | 64G | N/A |
| n2-standard-32-gdc | 32 | 128G | N/A |
| n2-highmem-4-gdc | 4 | 32G | N/A |
| n2-highmem-8-gdc | 8 | 64G | N/A |
| n2-highmem-16-gdc | 16 | 128G | N/A |
| n2-highmem-32-gdc | 32 | 256G | N/A |
| a2-highgpu-1g-gdc | 12 | 85G | 1x A100 40GB |
| a2-ultragpu-1g-gdc | 12 | 170G | 1x A100 80GB |
| a2-ultragpu-2g-gdc | 24 | 340G | 2x A100 80GB |
| a3-highgpu-1g-gdc | 28 | 240G | 1x H100 94GB |
| a3-highgpu-2g-gdc | 56 | 480G | 2x H100 94GB |
| a3-highgpu-4g-gdc | 112 | 960G | 4x H100 94GB |
Supported MIG profiles
This section defines the supported partitioning schemes of MIG profiles on
supported GPUs. You can define a partitioning scheme for a node pool in your
Cluster custom resource.
For more information on how to apply a GPU partitioning scheme, see Add a node pool.
A100 40GB GPU
The following table defines the MIG profiles supported on the A100 40GB NVIDIA GPU:
| Partitioning Scheme | Available Partitions |
|---|---|
| 1g.5gb | 7x 1g.5gb |
| 2g.10gb | 3x 2g.10gb |
| 3g.20gb | 2x 3g.20gb |
| 7g.40gb | 1x 7g.40gb |
| mixed-1 | 1x 4g.20gb 1x 2g.10gb 1x 1g.5gb |
| mixed-2 | 1x 4g.20gb 3x 1g.5gb |
| mixed-3 | 1x 3g.20gb 2x 2g.10gb |
| mixed-4 | 1x 3g.20gb 1x 2g.10gb 2x 1g.5gb |
| mixed-5 | 1x 3g.20gb 4x 1g.5gb |
| mixed-6 | 3x 2g.10gb 1x 1g.5b |
| mixed-7 | 2x 2g.10gb 3x 1g.5b |
| mixed-8 | 1x 2g.10gb 5x 1g.5gb |
A100 80GB GPU
The following table defines the MIG profiles supported on the A100 80GB NVIDIA GPU:
| Partitioning Scheme | Available Partitions |
|---|---|
| 1g.10gb | 7x 1g.10gb |
| 2g.20gb | 3x 2g.20gb |
| 3g.40gb | 2x 3g.40gb |
| 7g.80gb | 1x 7g.80gb |
| mixed-1 | 1x 4g.40gb 1x 2g.20gb 1x 1g.10gb |
| mixed-2 | 1x 4g.40gb 3x 1g.10gb |
| mixed-3 | 1x 3g.40gb 2x 2g.20gb |
| mixed-4 | 1x 3g.40gb 1x 2g.20gb 2x 1g.10gb |
| mixed-5 | 1x 3g.40gb 4x 1g.10gb |
| mixed-6 | 3x 2g.20gb 1x 1g.10gb |
| mixed-7 | 2x 2g.20gb 3x 1g.10gb |
| mixed-8 | 1x 2g.20gb 5x 1g.10gb |
H100 94GB GPU
The following table defines the MIG profiles supported on the H100 94GB NVIDIA GPU:
| Partitioning Scheme | Available Partitions |
|---|---|
| 1g.12gb | 7x 1g.12gb |
| 1g.24gb | 4x 1g.24gb |
| 2g.24gb | 3x 2g.24gb |
| 3g.47gb | 2x 3g.47gb |
| 4g.47gb | 1x 4g.47gb |
| 7g.94gb | 1x 7g.94gb |
| mixed-1 | 1x 4g.47gb 1x 3g.47gb |
| mixed-2 | 1x 4g.47gb 1x 2g.24gb 1x 1g.12gb |
| mixed-3 | 1x 4g.47gb 3x 1g.12gb |
| mixed-4 | 1x 3g.47gb 2x 2g.24gb |
| mixed-5 | 1x 3g.47gb 1x 2g.24gb 2x 1g.12gb |
| mixed-6 | 1x 3g.47gb 4x 1g.12gb |
| mixed-7 | 3x 2g.24gb 1x 1g.12gb |
| mixed-8 | 2x 2g.24gb 3x 1g.12gb |
| mixed-9 | 1x 2g.24gb 5x 1g.12gb |