Spot instances for inference and sagemaker?

Question

Is it possible to deploy spot inf1 instances on sagemaker? We run an API 24/7, and it's costly to keep it up, considering we only have 2 hours of peak performance a day.

We don't shut off those machines because we might have random bursts of traffic during the day that CPU instances can't hold.
Alternatively, we could deploy spot EC2 inf machines; however, I'm unsure how I would invoke them from gateway and lambda. Does anybody have a tip or recommendation for our case?

Thanks!

Answer

You could possibly integrate EC2 Spot instance fleet with Application Auto Scaling service to spin up or down spot instances when you receive traffic. To scale it down to 0 instances, you will need to configure a queue to hold the requests while you spin up from 0 instances to 1 or more. Then your application would insert the requests in the SQS queue and wait for an instance to be available. Take a look at this link for more information on how to configure application autoscaling with Spot instances:
https://docs.aws.amazon.com/autoscaling/application/userguide/services-that-can-integrate-ec2.html

To configure your policy for the autoscaling, you can look at SQS queue length metric. Here is how you can set a target tracking policy for the application autoscaling:
https://docs.aws.amazon.com/autoscaling/application/userguide/create-target-tracking-policy-cli.html

Spot instances for inference and sagemaker?

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