spot-instances

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).

Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.

Gracefully handle EC2 instance shutdown within Kubernetes

Terraform module for AWS GitLab runners on ec2 (spot) instances

Build your own privacy and security focused Android OS in the cloud.

Training deep learning models on AWS and GCP instances

Ready-to-deploy configuration to run Laravel on AWS Elastic Beanstalk.

Telescopes is a cloud instance types and full cluster layout recommender consisting of on-demand and spot/preemptible AWS EC2, Google, Azure, Oracle and Alibaba cloud instances.

Deploy an high available K3s cluster on Amazon AWS

A ruleset based watchguard to keep spot/preemptible instance based clusters safe, with plugins for VMs, Kubernetes, Prometheus and Pipeline

CLI for exploring AWS EC2 Spot inventory. Inspect AWS Spot instance types, saving, price, and interruption frequency.

Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.

Factorio Deployment to AWS

Intelligent use of Spot Instances in Kubernetes

Deploy an high available Kubernetes (k8s) cluster on Amazon AWS

Auto scaling for Amazon EC2 using spot instances

The easiest way to use GPUs.

Gracefully handle Azure Virtual Machines shutdown within Kubernetes

Amazon SageMaker Managed Spot Training Examples

Easy automated configuration and deployment of Minecraft servers on AWS spot instances, featuring automatic backups and restoration using S3.