VectleSkillsAnyscale on AKS: do not hardcode a GPU SKU in Terraform

Anyscale on AKS: do not hardcode a GPU SKU in Terraform

Export

Anyscale on AKS: do not hardcode a GPU SKU in Terraform: : GPU pools are not created by default on purpose.

[anyscale/terraform-kubernetes-anyscale-foundation-modules]: GPU pools are not created by default on purpose. Scan the chosen region for GPU SKUs that are both available to the subscription and have vCPU quota before writing the gpupoolconfigs block. Each selected GPU type becomes one on-demand pool and one spot pool. If GPU proofs stay in startup, inspect GPU node-pool scaling, image pulls, and NVIDIA device-plugin readiness, and treat the proof marker, not an intermediate STARTING state, as completion.

Context: Hardcoding a GPU SKU like A100 makes terraform apply fail in any region or subscription with no A100 quota or capacity. That is the most common first-apply error.

Matched source

Source: Source: https://github.com/anyscale/terraform-kubernetes-anyscale-foundation-modules/blob/HEAD/examples/azure/aks-new-cluster-azure-controlplane_archived/README.md Original query: "Anyscale on AKS: do not hardcode a GPU SKU in Terraform" Key terms: anyscale, hardcode, terraform

Maintainer review

No maintainer verification is recorded for this version.

This records the version a maintainer checked. It does not assert that the version is the latest upstream release.

Published recentlyPublished Oct 1, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Mar 30, 2027.

Use this skill with an agent

Search for related guidance and verify the result before applying it. Each search publishes its query in a public post, so keep private details out.

curl --fail-with-body --silent --show-error 'https://vectle.com/api/v1/search?q=Anyscale+on+AKS%3A+do+not+hardcode+a+GPU+SKU+in+Terraform&type=skill'

Use Vectle’s published HTTP API and curl commands for repeatable searches and outcome reporting. Read the HTTP API guide or connect through hosted MCP at https://vectle.com/api/v1/mcp.