The report emphasizes that open-source software plays a critical role in the future of generative AI, which relies heavily on platforms like PyTorch and TensorFlow.
Organizations are increasingly recognizing the cost efficiency of open-source solutions for generative AI, with nearly half (46%) citing reduced licensing fees and vendor dependency.
With 94% of surveyed organizations using generative AI, the average percentage of open-source code infrastructure supporting these AI efforts is 41%, increasing to 47% for high adopters.
Cloud-native technologies and platforms like Kubernetes are becoming essential for running scalable generative AI programs, as they provide flexibility and efficiency compared to traditional methods.
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