Exciting things you can build with the new UbiOps operators! In our first blog on pipeline operators, we used them to speed up a video processing pipeline. Specifically, we used...
Read MoreHow to speed up a Tensorflow model by 200%? Machine learning models nowadays require more and more compute power. According to a study from OpenAI, the compute power needed to...
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UbiOps release news - version 2.21.0 On the 10th of January 2023 we have released new functionality and made improvements to our UbiOps SaaS product. On this page you can read...
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Working with the Netherlands Cancer Institute, Ellogon.AI has developed a faster and more efficient method of determining whether a cancer patient may benefit from immunotherapy. The tool used for this,...
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Exciting things you can build with the new UbiOps operators! On the 24th of November we introduced pipeline operators in UbiOps. Pipeline operators are a library of pipeline objects that...
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Pushing your ML project to production? Here’s what to look out for Written in collaboration with James Stewart from TrojAI In the last few years, there has been a lot of…
in this article we will explain in more detail the differences between Slurm, Kubernetes and UbiOps.
In this blog post we will give you an overview on how to create a training job and run it in the cloud using UbiOps. This structure can be used for pretty much all frameworks like Tensorflow, Keras, Pytorch, Scikit Learn and others.
Early in 2022, the National Cyber Security Centre (NCSC) started using a protected version of the UbiOps platform which enables the earlier and easier use of its own data scientists’...
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Autoscaling is an essential MLOps tool for allocating resources automatically to different MLOps workloads. A lot of MLOps tasks have very variable workloads and traffic. If your use case falls...
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A simple way to figure out your requirements.txt Whenever you’re working with Python, you will need to manage your dependencies as you install and use multiple libraries. Poor dependency management...
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How to tackle the shortage of GPUs Graphical Processing Units (GPUs) have become an integral part of today’s MLOps ecosystem, and with more companies running AI models in production than ever…
