Install
Prerequisites
Docker must be installed and running on your machine (to verify, check that running
docker ps
does not return an error)Subscribe to the EKS-optimized AMI with GPU Support (for GPU clusters)
An IAM user with
AdministratorAccess
and programmatic access (see security if you'd like to use less privileged credentials after spinning up your cluster)You may need to request a limit increase for your desired instance type
Spin up Cortex on your AWS account
# install the CLI
pip install cortex
# spin up Cortex on your AWS account
cortex cluster up cluster.yaml # (see configuration options below)
Configure Cortex
# cluster.yaml
# EKS cluster name
cluster_name: cortex
# AWS region
region: us-east-1
# list of availability zones for your region
availability_zones: # default: 3 random availability zones in your region, e.g. [us-east-1a, us-east-1b, us-east-1c]
# list of cluster node groups; the smaller index, the higher the priority of the node group
node_groups:
- name: ng-cpu # name of the node group
instance_type: m5.large # instance type
min_instances: 1 # minimum number of instances
max_instances: 5 # maximum number of instances
instance_volume_size: 50 # disk storage size per instance (GB)
instance_volume_type: gp2 # instance volume type [gp2 | io1 | st1 | sc1]
# instance_volume_iops: 3000 # instance volume iops (only applicable to io1)
spot: false # enable spot instances
- name: ng-gpu
instance_type: g4dn.xlarge
min_instances: 1
max_instances: 5
instance_volume_size: 50
instance_volume_type: gp2
# instance_volume_iops: 3000
spot: false
- name: ng-inferentia
instance_type: inf1.xlarge
min_instances: 1
max_instances: 5
instance_volume_size: 50
instance_volume_type: gp2
# instance_volume_iops: 3000
spot: false
...
# subnet visibility [public (instances will have public IPs) | private (instances will not have public IPs)]
subnet_visibility: public
# NAT gateway (required when using private subnets) [none | single | highly_available (a NAT gateway per availability zone)]
nat_gateway: none
# API load balancer scheme [internet-facing | internal]
api_load_balancer_scheme: internet-facing
# operator load balancer scheme [internet-facing | internal]
# note: if using "internal", you must configure VPC Peering to connect your CLI to your cluster operator
operator_load_balancer_scheme: internet-facing
# to install Cortex in an existing VPC, you can provide a list of subnets for your cluster to use
# subnet_visibility (specified above in this file) must match your subnets' visibility
# this is an advanced feature (not recommended for first-time users) and requires your VPC to be configured correctly; see https://eksctl.io/usage/vpc-networking/#use-existing-vpc-other-custom-configuration
# here is an example:
# subnets:
# - availability_zone: us-west-2a
# subnet_id: subnet-060f3961c876872ae
# - availability_zone: us-west-2b
# subnet_id: subnet-0faed05adf6042ab7
# additional tags to assign to AWS resources (all resources will automatically be tagged with cortex.dev/cluster-name: <cluster_name>)
tags: # <string>: <string> map of key/value pairs
# SSL certificate ARN (only necessary when using a custom domain)
ssl_certificate_arn:
# List of IAM policies to attach to your Cortex APIs
iam_policy_arns: ["arn:aws:iam::aws:policy/AmazonS3FullAccess"]
# primary CIDR block for the cluster's VPC
vpc_cidr: 192.168.0.0/16
The docker images used by the Cortex cluster can also be overridden, although this is not common. They can be configured by adding any of these keys to your cluster configuration file (default values are shown):
image_operator: quay.io/cortexlabs/operator:0.31.1
image_manager: quay.io/cortexlabs/manager:0.31.1
image_downloader: quay.io/cortexlabs/downloader:0.31.1
image_request_monitor: quay.io/cortexlabs/request-monitor:0.31.1
image_cluster_autoscaler: quay.io/cortexlabs/cluster-autoscaler:0.31.1
image_metrics_server: quay.io/cortexlabs/metrics-server:0.31.1
image_inferentia: quay.io/cortexlabs/inferentia:0.31.1
image_neuron_rtd: quay.io/cortexlabs/neuron-rtd:0.31.1
image_nvidia: quay.io/cortexlabs/nvidia:0.31.1
image_fluent_bit: quay.io/cortexlabs/fluent-bit:0.31.1
image_istio_proxy: quay.io/cortexlabs/istio-proxy:0.31.1
image_istio_pilot: quay.io/cortexlabs/istio-pilot:0.31.1
image_prometheus: quay.io/cortexlabs/prometheus:0.31.1
image_prometheus_config_reloader: quay.io/cortexlabs/prometheus-config-reloader:0.31.1
image_prometheus_operator: quay.io/cortexlabs/prometheus-operator:0.31.1
image_prometheus_statsd_exporter: quay.io/cortexlabs/prometheus-statsd-exporter:0.31.1
image_prometheus_dcgm_exporter: quay.io/cortexlabs/prometheus-dcgm-exporter:0.31.1
image_prometheus_kube_state_metrics: quay.io/cortexlabs/prometheus-kube-state-metrics:0.31.1
image_prometheus_node_exporter: quay.io/cortexlabs/prometheus-node-exporter:0.31.1
image_kube_rbac_proxy: quay.io/cortexlabs/kube-rbac-proxy:0.31.1
image_grafana: quay.io/cortexlabs/grafana:0.31.1
image_event_exporter: quay.io/cortexlabs/event-exporter:0.31.1
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