Bump neurohackademy to g4dn.2xlarge

[yuvipanda]

They need same amount of GPU but more RAM

Replaces #6536

[arokem]

Let's do 4x (see recent change on the other PR)

[github-actions]

Merging this PR will trigger the following deployment actions.

Support deployments

No support upgrades will be triggered

Staging deployments

Cloud Provider	Cluster Name	Hub Name	Reason for Redeploy
aws	neurohackademy	staging	Following helm chart values files were modified: common.values.yaml

Production deployments

Cloud Provider	Cluster Name	Hub Name	Reason for Redeploy
aws	neurohackademy	prod	Following helm chart values files were modified: common.values.yaml

[yuvipanda]

@arokem per https://aws.amazon.com/ec2/instance-types/g4/, 2x has 32G of RAM and 1 GPU, while 4x has 64G of RAM and 1 GPU. Given there's only 1 GPU and we don't have GPU sharing enabled, do you want 2x with 30G of RAM or 4x with 61G of RAM? We shouldn't do 4x with 30G of RAM

[arokem]

Oh - OK, let's do 2x with 30G then. Thanks!

[yuvipanda]

@arokem great, already deployed! I did provision (but not use) 4xlarge as well, so if you want more RAM (~61G) you can bump up straightforward with a PR (eksctl changes require manual work, which I've just done)

[github-actions]

🎉🎉🎉🎉

Monitor the deployment of the hubs here 👉 https://github.com/2i2c-org/infrastructure/actions/runs/16815832626

[yuvipanda]

Hang on, turns out 30G is not right. Fixing

[yuvipanda]

@arokem should be fixed now