Instantly scale AI and machine learning workloads on GPU on-demand
Using AI to create a sustainable environment:
Functionality UbiOps
December 28, 2023 / July 3, 2024 by UbiOps
Facilitate a hybrid-cloud strategy and save weeks of work!
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Collaborations Technology
May 23, 2023 / July 26, 2023 by UbiOps
With automated digital analysis of drones and other images, Pheno-Inspect is helping agricultural companies and fruit growers to improve their crops and harvests. For the calculations, this young German company uses on-demand GPUs which are available on the UbiOps’ platform
Blog Functionality
August 3, 2021 / January 5, 2024 by UbiOps
Combining R and Python in the same pipeline While hundreds of programming languages exist, Python and R remain the most popular ones to use in the world of data science. R is a great language to make visualizations and graphs, furthermore, it has many functionalities for data analysis. Python is a general-purpose language that is […]
Blog Product update
April 1, 2021 / July 26, 2023 by UbiOps
UbiOps 2.7.0 is here! On the 1st 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: Default versions The more versions a deployment has, the harder it is to track which version is the production or […]
Blog Pricing Security
October 14, 2020 / January 5, 2024 by UbiOps
As the field of cloud computing is expanding, we see that many of our clients wonder whether migrating to the cloud is a feasible option for them. It can be hard to keep up with all that is happening when new services and vendors go online every day. We believe that the key to acknowledging […]
September 30, 2020 / January 5, 2024 by UbiOps
In the previous How to deploy YOLOv4 on UbiOps, we showed how easy it is to deploy and serve a pre-trained image recognition model with UbiOps. UbiOps is a robust and scalable production environment for data science and machine learning workloads. If you want to read more about what is important in an AI production […]