Up to 1000 Users
Please check technical requirements for basic and cloud-specific requirements.
Kubernetes Node Groups
Configure Kubernetes node groups as below:
Note
You can use your own node group names to align with your internal policies or naming conventions.
- AWS
- Azure
- GCP
k8s nodegroup | OS/arch | recommendations | autoscaling | labels (key:value) |
---|---|---|---|---|
Default. CPU: 8 Memory: 32 GB | linux/amd64 | m6a.2xlarge | 35 - 75 | |
GPU Nvidia T4 | Ubuntu 22.04 amd64 | g4dn.xlarge | 3 - 9 | type:gpu, gpu.type:T4, gpu.replicas:4, nvidia.com/device-plugin.config:x4-slicing |
Due to complication with gpu-operator nvidia driver and linux kernel version, for GPU node group please follow below tested compatible matrix:
release | k8s version | owner account id | ami name |
---|---|---|---|
1.9.x | 1.31 | 099720109477 (Canonical) | ubuntu-eks/k8s_1.31/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-20250121 |
1.8.x | 1.30 | 099720109477 (Canonical) | ubuntu-eks/k8s_1.30/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-20240729 |
1.7.x | 1.30 | 099720109477 (Canonical) | ubuntu-eks/k8s_1.30/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-20240729 |
It's important to pin the ami version date because latest version might have newer linux kernel that are not compatible with our gpu-operator nvidia driver
k8s nodegroup | OS/arch | recommendations | autoscaling | labels (key:value) |
---|---|---|---|---|
Default. CPU: 8 Memory: 32 GB | linux/amd64 | Standard_D8s_v5 | 35 - 75 | |
GPU Nvidia T4 | Ubuntu 22.04 amd64 | Standard_NC4as_T4_v3 | 3 - 9 | type:gpu, gpu.type:T4, gpu.replicas:4, nvidia.com/device-plugin.config:x4-slicing |
k8s nodegroup | OS/arch | recommendations | autoscaling | labels (key:value) |
---|---|---|---|---|
Default. CPU: 8 Memory: 32 GB | linux/amd64 | n2-standard-8 | 35 - 75 | |
GPU Nvidia T4 | Ubuntu 22.04 amd64 | n1-standard-4 + T4 GPU | 3 - 9 | type:gpu, gpu.type:T4, gpu.replicas:4, nvidia.com/device-plugin.config:x4-slicing |
MySQL
- AWS
- Azure
- GCP
Aurora MySQL: db.r6g.xlarge
General Purpose D4ads_v5
: 4 vCores, 16 GiB RAM
4 vCPUs, 15GB Memory