3 ways how RapidPipeline enables Green IT
Table of Contents
What is Green IT?
The study and practice of environmentally sustainable computing or IT, in software usually with a focus on lowering carbon emissions through moderate energy consumpution, is entitled Green IT, also Green Computing or ICT Sustainability.
The more efficient a software, the better for the environment: efficient computing reduced runtimes and energy consumption, and especially at large scale it can make a big difference.
How does RapidPipeline contribute to a Green IT?
You might wonder how RapidPipeline - a solution for optimization and re-formatting of 3D content - can help with Green IT?
The answer is threefold:
RapidPipeline has been created with lighting-fast execution speed in mind. This means that, compared to other automation solutions, it often operates 10x faster and sometimes even more! This increases your data throughput and helps to save money on server costs, but it also has an identical effect on a server farm's carbon footprint, which is massively reduced.
RapidPipeline automates tedious parts of a workflow that could otherwise be done manually with several different tools. This means you can assume that, for a time-consuming manual workflow, the carbon footprint would be even higher (especially when the human user utilizes a graphical UI, which typically needs additional power for rendering the 3D models during operation).
Last but not least - and maybe most important: RapidPipeline makes the resulting, lightweight 3D models much more efficient to transmit and render. That means the main job of RapidPipeline is actually to make 3D spatial computing and XR overall more efficient! And this in turn can have a dramatic positive effect on a company's carbon footprint, especially when 3D models are used at large scale!
The following graphic shows a small cast study on the server runtimes, linearly impacting both costs and carbon footprint of the respective software:
Meet the Author
Max
CEO & Co-Founder
Max is a Co-Founder and the CEO at DGG. Working with leading retailers, Max and his team are on a mission to automate 3D asset optimization workflows for real-time applications - for e-commerce, games and beyond. Max received his PhD of engineering with honors from TU Darmstadt, in the area of 3D data optimization. He has also helped to shape the glTF format at Khronos.