SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
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Updated
Jul 9, 2024 - Python
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Kubernetes Running on AWS Spot Instance Notification
Intelligent use of Spot Instances in Kubernetes
Gracefully handle EC2 instance shutdown within Kubernetes
Pull and standardize data on cloud compute resources.
Gracefully handle Azure Virtual Machines shutdown within Kubernetes
This project contains examples how to use AWS CDK autoscaling Gitlab Runner.
Terraform module for AWS GitLab runners on ec2 (spot) instances
Execute Gitlab jobs on auto-scaled EC2 instances using the Docker Machine executor.
This is a custom GitHub action to provision and manage self-hosted runners using AWS EC2 On-Demand and/or Spot instances.
Amazon SageMaker Managed Spot Training Examples
Terraform module to create GitLab Runner Autoscaler on AWS Spot Instances
Terraform module to provision an Elastic MapReduce (EMR) cluster on AWS using a Spotinst AWS MrScaler resource
[wip] Terraform module to create a diversified spot fleet for ECS clusters
Ready-to-deploy configuration to run Laravel on AWS Elastic Beanstalk.
Infrastructure for spotlight.o11ystack.org
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.
notes about querying spot pricing
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