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The WEKA Data Platform is a software solution purpose-built for modern data stacks in the cloud and AI era. It transforms stagnant data silos into dynamic data pipelines that power GPUs efficiently and fuel AI, ML, and HPC workloads seamlessly and sustainably. In this session, Phil provides an overview of the WEKA Data Platform, and discuss major use cases for WEKA in the cloud.
Personnel: Phil Curran
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In this session, Phil Curran and Brennan Conley talk through how the WEKA platform runs in the cloud and the unique capabilities WEKA delivers to enable extreme performance, massive scalability, increased operational efficiency and sustainability, and reduced costs. By diving into the architectural details of the WEKA Data Platform, they show how customers benefit from advanced automation, bi-directional autoscaling, and data portability to enable mutlicloud, hybrid cloud, and cloud-native deployments.
Personnel: Brennan Conley, Phil Curran
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WEKA Converged Mode for AWS is a deployment mode that enables greater resource efficiency for AI model training and other GPU-accelerated workloads in AWS Cloud. In this session, Efraim Grynberg discusses WEKA’s approach, the innovation making this possible now, and how customers are benefiting from it.
Personnel: Efraim Grynberg
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