
In May 2025, Jary developed an enterprise deployment pattern for OPEA Chat QnA, integrating Red Hat OpenShift, GitOps, and AMD Instinct hardware. The work, contributed to the validatedpatterns/docs repository, established an end-to-end deployment workflow covering prerequisites, model preparation, deployment verification, and automated continuous delivery. Leveraging skills in AI/ML deployment, containerization, and DevOps, Jary designed a scalable solution that aligns with enterprise requirements for hardware-accelerated performance and reproducibility. The pattern enables production-like deployments with automated verification, supporting future scalability and reuse. Documentation was provided in adoc, ensuring clarity and maintainability for teams adopting the deployment approach.

In May 2025, delivered an enterprise deployment pattern for OPEA Chat QnA on Red Hat OpenShift with GitOps and AMD Instinct. Implemented end-to-end pattern covering prerequisites, model preparation, deployment verification, and continuous delivery, enabling scalable, enterprise-grade deployment with hardware-accelerated performance. Coordination with Red Hat and AMD technologies established a robust foundation for future scale and reuse.
In May 2025, delivered an enterprise deployment pattern for OPEA Chat QnA on Red Hat OpenShift with GitOps and AMD Instinct. Implemented end-to-end pattern covering prerequisites, model preparation, deployment verification, and continuous delivery, enabling scalable, enterprise-grade deployment with hardware-accelerated performance. Coordination with Red Hat and AMD technologies established a robust foundation for future scale and reuse.
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