Blog
Guide to create a service in OSCAR
This is a step by step guide to show developers how to create their first service in OSCAR.
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Composing AI Inference pipelines with Node-RED & Flowfuse
In this post, we are going to learn about composing AI inference workflows by invoking OSCAR services with Node-RED & FlowFuse.
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Composing AI Inference workflows based on OSCAR services with Elyra in EGI Notebooks
In this post, we will learn about composing AI inference workflows by invoking OSCAR services with Elyra.
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Integration of OSCAR in AI-SPRINT Use Cases
The AI-SPRINT European Project uses the OSCAR serverless platform to support the scalable execution of the inference phase of AI models along the computing continuum in all the uses cases: personalized healthcare, maintenance & inspection and, finally, farming 4.
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Data-driven Processing with dCache, Apache Nifi and OSCAR
This post describes the integration between OSCAR and dCache. Data stored in dCache triggers the invocation of an OSCAR service to perform the processing of that data file within the scalable OSCAR cluster.
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Design of workflows across OSCAR services with Node-RED (Part 2).
In this post, the work with Node-RED and its interaction with OSCAR services will be continued.
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Design of workflows across OSCAR services with Node-RED (Part 1).
In this post, we will be explaining the integration of Node-RED software with OSCAR. The necessary tools will be given to achieve workflows between OSCAR and Node-RED simply and intuitively through flow-based programming techniques.
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Use COMPSs with OSCAR
This is a tutorial to integrate COMPSs with OSCAR. In this post, we will explain what COMPSs is and the integration with OSCAR to support parallel processing within an on-premises serverless platform.
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Invoking an OSCAR Service from an EGI Jupyter Notebook
In this post, we are going to showcase the usage of the OSCAR Python API, implemented to interact with OSCAR clusters and its services through EGI Notebooks, a tool based on Jupyter for data analysis.
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Why use OSCAR as a serverless AI/ML model inference platform?
What is OSCAR? OSCAR is an open-source serverless platform for event-driven data-processing containerized applications that execute on elastic Kubernetes clusters that are dynamically provisioned on multiple Clouds.
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User interfaces with Gradio for AI model inference in OSCAR services
What is Gradio? Gradio is a Python library for building user web interfaces for Machine Learning (ML) applications.
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FDL Composer to create a workflow with OSCAR
FDL-Composer is a tool to visually design workflows for OSCAR and SCAR. We are going to simulate the example video-process
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Using OSCAR as a FaaS platform for synchronous inference of a machine learning model
This guide aims to show the usage of the OSCAR platform for Machine Learning inference using a pre-trained Convolutional Neural network classification model by DEEP-Hybrid-DataCloud: the Plants species classifier, to classify plant pictures by specie.
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Guide to create a service in OSCAR
This is a step by step guide to show developers how to create their first service in OSCAR.
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Convert Text to Speech with OSCAR
This use case implements text-to-speech transformation using the OSCAR serverless platform, where an input of plain text returns an audio file.
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A Serverless Cloud-to-Edge Computing Continuum Approach for Edge AI inference
OSCAR is an open-source framework for data-processing serverless computing. Users upload files to an object storage which invokes a function responsible for processing each file.
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Using OSCAR as a FaaS platform for scalable asynchronous inference of a machine learning model
OSCAR is a framework to efficiently support on-premises FaaS (Functions as a Service) for general-purpose file-processing computing applications.
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Deployment of an OSCAR cluster in the EGI Federated Cloud
Here we present a step by step guide to help you deploy an OSCAR cluster in the EGI Federated Cloud, specifically in the EOSC-Synergy VO.
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Event-driven inference of AI models for mask detection with the OSCAR serverless platform
What is OSCAR? OSCAR is an open-source platform to support the Functions as a Service (FaaS) computing model for file-processing applications.
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