Good news for our team!
Our team has now its own GPU server installed on campus. This new machine comes to enlarge our computation capability allowing us to work on larger and more complex projects. The new member of the teams brings 2 Intel Xeon Gold and 8 Nvidia RTX 8000, and now is ready to process our large amount of data.
Why GPUs? Our team is constantly working on microscopy images. As an example, a single-shot image taken by a microscope can have a size of 2048 by 2048 pixels. However, when considering fluctuation and living samples a single acquisition becomes a set of 500 or even 10.000 images. The tasks our team is performing over this datasets are quite complex, involving data analysis and machine learning across multiple images, so working with GPUs is a natural step in our workflow.
The new server allows several users at the same time and it will accelerate our research, reduce our processing time, and overall, increase our productive capacity.
Thanks to all the people that made this possible, specially to Rolf Andersen for coordinate the deployment and configuration of the new setup.
