6G-DALI

The cross-testbed decentralised MLOps Use Case (PoC) aims at validating the functionalities of the 6G-DALI e2e AI framework with decentralised MLOps, meta-orchestration and AI experimentation services, specifically targeting the assessment of its cooperative and distributed capabilities for the management of ML models and showcasing its applicability at a CDN vertical application. In particular, the PoC will validate the 6G-DALI unified approach for managing and executing ML tasks and processes with full automation, streamlining the various steps and taking autonomous.

decisions related to AI/ML models training, deployment, placement, hyperparameter optimisation, and transfer learning/quantisation as a service. Moreover, the PoC aims at assessing the capability of the 6G-DALI e2e AI framework to rely on heterogeneous testbed infrastructures with different MLOps software stacks, demonstrating a solution that is independent from the underlying computing technologies (meta-Orchestration concept) and from the user and ML model constraints (e.g. in terms of AI/ML model techniques and library used to develop the models).