Kubernetes technologies for ML-based solutions

Talk given at "Workshop Computing@CSN5: Applications and Innovations at INFN", Bari 14-16/10/2024 <strong>Abstract</strong>: we present some Kubernetes technologies used in the design and development of ML-based solutions. In particular, <strong>KServe</strong> for model serving and <strong>Kubeflow Training Operator</strong> for distributed training. We also present some use cases using these technologies.

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Publication Details

Journal
INFM-OAR (INFN Catania)
Published
2024-10-21
DOI
https://doi.org/10.15161/oar.it/211827
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
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article

Kubernetes technologies for ML-based solutions

INFM-OAR (INFN Catania)
Soil and Land Suitability Analysis
article

Kubernetes technologies for ML-based solutions

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Abstract

Talk given at "Workshop Computing@CSN5: Applications and Innovations at INFN", Bari 14-16/10/2024 <strong>Abstract</strong>: we present some Kubernetes technologies used in the design and development of ML-based solutions. In particular, <strong>KServe</strong> for model serving and <strong>Kubeflow Training Operator</strong> for distributed training. We also present some use cases using these technologies.

INFM-OAR (INFN Catania)
Institute for Physics (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Soil and Land Suitability Analysis
DOIOpen Access PDFOpenAlex
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Kubernetes technologies for ML-based solutions · INFM-OAR (INFN Catania) (2024) | TGRS Research Map | TGRS