Why WEKA, why NOW? The Demand for Scale
Token consumption is exploding, and inference at scale is pushing traditional infrastructure past its limits. Geeta Raval Vaghela explains why WEKA's fully distributed, software-defined architecture was built for this moment, and walks through the capabilities developed with Red Hat for production AI: a Kubernetes operator for OpenShift, high-performance S3, end-to-end multi-tenancy, and NeuralMesh with Augmented Memory Grid to extend the data layer into GPU memory.
Geeta Raval Vaghela leads Partner Strategy and Solutions Engineering at WEKA. Before joining WEKA, she was Senior Director of Product Management for Unstructured Data Solutions and Head of AI Storage Strategy and Technical Computing at Dell Technologies, where she led Dell's Parallel File System work and worked closely with the Office of the CTO and strategic technology partners. Earlier, she managed next-generation platforms on the Isilon team. Her background in product management, systems architecture, M&A and partner work now shapes how she helps WEKA's partners build and deliver high-performance AI solutions. Geeta holds a Bachelor's (Hons) and a Master's in Mathematics, and she mentors young women in tech through Women in Cloud and Girls Who Game.
