Story
Red Hat
Goldman SachsHow Goldman Sachs Runs Applied AI Delivery on Red Hat Enterprise Linux
Goldman Sachs, a financials organization in the United States, uses Red Hat Enterprise Linux from Red Hat to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | ML and product teams work from the same Red Hat Enterprise Linux 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
Financials work at Goldman Sachs spans more than one site, even when headquarters sits in the United States. 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.
Red Hat (Red Hat Enterprise Linux) is what they standardized on. Red Hat, an IBM company, provides enterprise open source platforms, including RHEL, OpenShift, and Ansible, for hybrid cloud. Goldman Sachs 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 The story is about operating change, not an unpublished percentage.
