Story
IBM
Yara InternationalHow Yara International Runs Applied AI Delivery on Red Hat OpenShift
Yara International, a materials organization in Norway, uses Red Hat OpenShift from IBM to support applied AI delivery for ML and product teams.
Yara International standardized model serving on IBM instead of keeping parallel copies.
“Materials work at Yara International spans more than one site, even when headquarters sits in Norway.”
“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 |
|---|---|
| Capability | ML and product teams work from the same Red Hat OpenShift record for model serving |
| Capability | Model serving can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for model serving |
Story
Materials work at Yara International spans more than one site, even when headquarters sits in Norway. 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.
IBM (Red Hat OpenShift) is what they standardized on. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. Yara International 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 The story is about operating change, not an unpublished percentage.
