Speaker
Ricardo Rocha
(CERN)
Description
The existing MLOps offering in CERN IT covers the requirements for data preparation, iterative development, training and inference. It enables integration with existing infrastructure via APIs or by directly embedding the models.
This activity will focus on an extension of these environments to enable the deployment and management of agents as well as the required components to standardize access to components supporting the Model Context Protocol (MCP). This includes exposing the required data (the resources), integration with external systems (via tools) and interfaces to clients (prompts).
CERN group/ Experiment
IT-CD-PI/IT-FTI
| Working area | Area 5: Infrastructure for AI Deployment |
|---|---|
| Project goals | Evaluation and prototype of infrastructure to manage AI agents |
| Timeline | 12 |
| Available person power | 0 |
| Additional person power request | 1 GRAE |
| Is this an already ongoing activity? | No |
Author
Ricardo Rocha
(CERN)