Story
Pembina Pipeline Uses Nutanix Kubernetes Engine for Model Serving
Pembina Pipeline, an energy organization in Canada, uses Nutanix Kubernetes Engine from Nutanix to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because model serving has a clear owner |
| Productivity | Handoffs in applied AI delivery sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how applied AI delivery actually runs |
Story
Energy work at Pembina Pipeline spans more than one site, even when headquarters sits in Canada. Model serving was splitting across regional habits. ML and product teams asked for a shared way to run applied AI delivery without freezing local judgment.
Nutanix (Nutanix Kubernetes Engine) is what they standardized on. Nutanix offers hyperconverged infrastructure and hybrid multi-cloud software so IT teams can run VMs and Kubernetes consistently. Pembina Pipeline uses it as the system of record for model serving, with ML and product teams as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.