If you’ve ever tried setting up an AI platform with GPU acceleration and a vector database, you know it’s a complex, time-consuming process. From configuring GPU operators to provisioning PostgreSQL with pgvector, most teams spend days or weeks before running their first AI workload.

But what if you could go from zero to a fully operational, GPU-enabled AI cluster in just minutes? Enter k0rdent—an open platform that simplifies Kubernetes-based infrastructure and provides instant service templates for GPU operators, AI models, and pgvector-enabled PostgreSQL.

In this talk, we’ll walk through how k0rdent automates AI infrastructure provisioning across clusters. You’ll see how to:

Instantly deploy NVIDIA or AMD GPU operators

Provision pgvector-enabled PostgreSQL for AI search and retrieval

Launch an inference service with just a few GitOps commits

By the end, you’ll understand how to transform traditional multi-day setups into a fast, repeatable process that empowers teams to focus on building AI solutions rather than managing infrastructure.