Micro Assessment - Gruve AI

1. What percentage of your applications currently run on VMware?

2. How would you describe your current application architecture?

Mostly monolithic, legacy apps

Some services modularized, early refactoring

Hybrid: mix of containers and traditional VMs

Mostly containerized/cloud-native

3. What is your current approach to infrastructure provisioning?

Manual, VM-based provisioning

Some scripting and automation in place

Using CI/CD or IAC tools like Ansible, Terraform

Fully automated with self-service or GitOps workflows

4. How prepared is your current infrastructure to support AI workloads?

Not at all

Some planning started

Testing or partial deployments underway

We're AI-ready or running inference/training already

5. Do you currently use Kubernetes or a container platform?

No, not yet

In pilot or early dev use

In production for selected workloads

Strategic platform used org-wide

6. What is your strategic goal around VMware usage?

Stay on VMware long-term

Reduce costs but remain on VMware

Actively planning to migrate away

Migration already underway or completed

7. How aligned is your IT strategy with AI initiatives?

AI is not a current priority

We're exploring use cases

We have a roadmap and initial budget

AI is core to our transformation goals

VMware-to-AI Readiness Micro-Assessment