Story
IBM
GeminiGemini Standardizes Model Serving on IBM
Gemini, a financials organization in the United States, uses Red Hat OpenShift from IBM to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | Applied AI delivery stays visible to adjacent teams through Red Hat OpenShift |
| 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 |
Story
Gemini is based in the United States and runs financials operations at a scale where model serving cannot live in side channels. ML and product teams were reconciling competing copies of the same work, which slowed applied AI delivery and hid who owned the next step.
The company runs applied AI delivery on IBM, with Red Hat OpenShift as the product ML and product teams actually open. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. For Gemini, that means ML and product teams can open one workflow, see model serving, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for model serving.
