Story
Jira Brings Model Serving onto VMware
Jira, an information technology organization in Australia, uses Tanzu from VMware to support applied AI delivery for ML and product teams.
Jira runs applied AI delivery on VMware so ownership is obvious when work stalls.
“Information Technology work at Jira spans more than one site, even when headquarters sits in Australia.”
“ML and product teams asked for a shared way to run applied AI delivery without freezing local judgment.”
Independent write-up. Figures come from public sources or are illustrative.
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 |
| Risk and compliance | Tanzu is the governed place ML and product teams use for applied AI delivery |
Story
Information Technology work at Jira spans more than one site, even when headquarters sits in Australia. 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.
VMware (Tanzu) is what they standardized on. VMware, part of Broadcom, provides virtualization, private cloud, and container software used to run enterprise data centers. Jira 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 The story is about operating change, not an unpublished percentage.