Data Science

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Article

Perform inference using Intel OpenVINO Model Server on OpenShift

audrey-reznik.png Audrey Reznik + 1

In this article, you will learn how to perform inference on JPEG images using the gRPC API in OpenVINO Model Server in OpenShift. Model servers play an important role in smoothly bringing models from development to production. Models are served via network endpoints which expose an APIs to run predictions.

Open Source Data Pipelines e-book cover
E-book

Open Source Data Pipelines for Intelligent Applications

Kyle Bader + 4

Open Source Data Pipelines for Intelligent Applications provides data engineers and scientists insight into how Kubernetes provides a platform for building data platforms that increase an organization’s data agility. 

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Article

Extracting dependencies from Python packages

Fridolin Pokorny Fridolin Pokorny

Discover how to resolve Python dependencies by extracting metadata and dependency information, and how Project Thoth helps to streamline the process.

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Article

More machine learning with OpenShift Data Science

audrey-reznik.png Audrey Reznik

Solve the typical data science problems of accessing Amazon S3 data and creating a TensorFlow model by following two new OpenShift Data Science learning paths.

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Article

Red Hat Developer roundup: Best of November 2021

Red Hat Developer icon Red Hat Developer Editorial Team

Red Hat Developer shares its readers' top picks of articles posted in November 2021, including two Linux updates. See the full recap at the end of this article.

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Article

Access more data from your Jupyter notebook

Karl Eklund

Pull data without duplicating it into a Jupyter notebook using Starburst Galaxy, a fully managed data platform built on Red Hat OpenShift Data Science.

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Article

Building machine learning models in the cloud

audrey-reznik.png Audrey Reznik

Get hands-on resources for building machine learning models using Red Hat OpenShift Data Science. Learn how to use NLP, Jupyter notebooks, and more.

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Product

Red Hat Data Grid

An intelligent, distributed caching solution that boosts application performance, provides greater deployment flexibility, and minimizes the overhead of standing up new applications.

Red Hat OpenShift Data Science
Product

Red Hat OpenShift Data Science

A cloud service that gives data scientists and developers a powerful AI/ML platform for building intelligent applications.

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Article

External materialized views demystified in Red Hat JBoss Data Virtualization and Red Hat JBoss Data Grid

Cojan van Ballegooijen

Red Hat JBoss Data Virtualization (JDV) provides several capabilities for caching data including: materialized views, result set caching, and code table caching. These techniques can be used to significantly improve performance in many situations. With the exception of external materialized views, the cached data is accessed through the BufferManager. For better performance, the BufferManager setting should be adjusted to the memory constraints of your installation. See the Admin Guide for more on parameter tuning. JDV supports two kinds of caching...