Year: 2024
Type: other
Abstract: Talk given at "Workshop Computing@CSN5: Applications and Innovations at INFN", Bari 14-16/10/2024 Abstract: we present some Kubernetes technologies used in the design and development of ML-based solutions. In particular, KServe for model serving and Kubeflow Training Operator for distributed training. We also present some use cases using these technologies.
Author: Gattari, Mauro
Institution: Istituto Nazionale di Fisica Nucleare
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6924485990
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