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
Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi
Published
2024-10-21
DOI
https://doi.org/10.15161/oar.it/211826
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
0.00
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article

Kubernetes technologies for ML-based solutions

Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi
AI-based Problem Solving and Planning
article

Kubernetes technologies for ML-based solutions

article en

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.

Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi
Institute for Physics (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
AI-based Problem Solving and Planning
DOIOpen Access PDFOpenAlex
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Kubernetes technologies for ML-based solutions · Istituto Nazionale di Fisica Nucleare. Centro Nazionale Analisi Fotogrammi (2024) | TGRS Research Map | TGRS