Why The Future Of AI Depends On A Portable, Open PyTorch Ecosystem
Red Hat, Thursday, March 5th, 2026
In the debate between open source and proprietary technology, open source wins - especially in the AI arena. However, as the generative AI era continues, enterprises face a new version of an old challenge. While the industry is moving at breakneck speed, much of the underlying infrastructure remains fragmented or locked behind proprietary gates.
If AI is to be the key to unlocking unprecedented potential, it must be open at every layer-from the datasets and training pipelines to the infrastructure and the serving layers.
At Red Hat, our vision for this open future is clear: any model, any accelerator, any cloud. To make this a reality, we're betting on open source communities focused on making maximum impact, like the PyTorch community. PyTorch is the engine that drives flexibility, scalability, and-most importantly-accessibility for every enterprise, regardless of their hardware or cloud provider. To ensure that AI innovation remains democratic, we must protect the user's agency to choose the tools and hardware that best fit their specific needs.