Plug & Play: Deploying an AI Inference Service

Serving a model reliably requires decisions about infrastructure, deployment, and operations. This technical deep dive follows the path from a model endpoint to an inference service, examining environment setup, resource allocation, access controls, monitoring, and load testing. Explore how latency, throughput, and cost requirements influence deployment choices. Attendees will gain a clearer view of the dependencies and tradeoffs to evaluate when bringing an inference workload into an enterprise environment.

Registration opening soon. Check back here for the registration link, speakers and start time.