Using GPUs alongside CPUs to do ML-model inference is a great step to take if speed and performance is crucial.
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UbiOps release news - version 2.23.0 On the 20th of April 2023 we have released new functionality and made improvements to our UbiOps SaaS product. An overview of the changes...
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UNET is a commonly used neural network architecture in biomedical image segmentation. Use UbiOps to run it in the cloud!
Using APIs as a clean interface between the analytics and the application that makes use of them allows for faster product development.
Impending GPU shortage due to explosion in demand: 2023 update on how to tackle the shortage of GPUs
In our previous blogs on pipeline operators, we saw how we could use the pipeline operators to speed up our inference, to add unit tests to the input of our...
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The Hague, Netherlands. 01.03.2023. UbiOps joined the NVIDIA AI Accelerated program! As part of the initiative, UbiOps will work closely with NVIDIA to optimize its platform for NVIDIA GPU-accelerated computing,...
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UbiOps release news - version 2.22.0 On the 23rd of February 2022 we have released new functionality and made improvements to our UbiOps SaaS product. An overview of the changes...
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Transformer neural networks have become hugely popular recently as the go-to deep learning architecture for a wide variety of different tasks. ChatGPT by OpenAI keeps making the headlines and is...
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A new file system in UbiOps We recently released a new file system at UbiOps, which makes it a lot easier to work with files on the UbiOps platform. To...
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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...
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How 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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