Limitation on Droplet types for kubernetes nodes


as per documentation ( there is a variety of Droplet types available for different plans. For example there are various Memory-optimized Droplets with different number of vCPUs from 2 to 32 (16 - 256 GB RAM). However while creating a new node pool I only have a single option for Memory-optimized Droplets available, namely the smallest one with 2 vCPUs. How can I request a Droplet with more resources?

Cheers, Tatiana

Submit an answer

This textbox defaults to using Markdown to format your answer.

You can type !ref in this text area to quickly search our full set of tutorials, documentation & marketplace offerings and insert the link!

Sign In or Sign Up to Answer

These answers are provided by our Community. If you find them useful, show some love by clicking the heart. If you run into issues leave a comment, or add your own answer to help others.

Hey @giantgreenblueshrimp,

What region is your Kubernetes cluster based on? And is it a new cluster that you are creating or are you adding a pool to an existing one?

Usually, once you select your Machine type (Droplet), then under the Node plan, you can also select the size of the Droplet to.


- Bobby.

Try DigitalOcean for free

Click below to sign up and get $200 of credit to try our products over 60 days!

Sign up

card icon
Get our biweekly newsletter

Sign up for Infrastructure as a Newsletter.

Sign up
card icon
Hollie's Hub for Good

Working on improving health and education, reducing inequality, and spurring economic growth? We’d like to help.

Learn more
card icon
Become a contributor

You get paid; we donate to tech nonprofits.

Learn more
Welcome to the developer cloud

DigitalOcean makes it simple to launch in the cloud and scale up as you grow – whether you’re running one virtual machine or ten thousand.

Learn more ->
DigitalOcean Cloud Control Panel
Get started for free

Enter your email to get $200 in credit for your first 60 days with DigitalOcean.

New accounts only. By submitting your email you agree to our Privacy Policy.