Instantly scale AI and machine learning workloads on GPU on-demand
Blog Product update
April 29, 2021 / July 26, 2023 by [email protected]
On the 29th of April 2021 we have released new functionality and made improvements to our UbiOps SaaS. Here is an overview of all new functionality and changes in UbiOps: R language support This release, we proudly present support for R (version 4.0) deployments. The R deployments can be created in the same way […]
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November 19, 2020 / July 26, 2023 by [email protected]
On the 19th of November 2020, we have released new functionality and made improvements to UbiOps SaaS. Here is an overview of all new functionality and changes in UbiOps Saas: Models and Connectors will become ‘Deployments’ The concepts of a Model and Connector in UbiOps have become a new single item called ‘Deployment’. The existing […]
November 11, 2020 / January 5, 2024 by [email protected]
Why do both matter? More and more organizations – small and large – are coming out of the Proof of Concept phase of developing machine learning models. They’re now up to the task of putting these machine learning algorithms into operation and let them create the promised value. We call this MLOps, or machine learning […]
Blog
September 16, 2020 / July 26, 2023 by [email protected]
The Hague, 2020 Dutch Analytics introduces UbiOps (formerly: Xenia) as the new name of its platform. At the beginning of this year, Dutch Analytics introduced a new software platform that helps companies to make data-driven models operational, maintain them and integrate with existing systems after development. The mission of Dutch Analytics is to run data […]
July 30, 2020 / July 26, 2023 by [email protected]
On the 30th of July 2020, we have released a new version (v2.1) of the UbiOps platform. We made major improvements to the underlying architecture over the past months. These result in better performance, faster response times and higher reliability of UbiOps. Besides this, new functionality is available. Check the new Features & Functionality overview […]
