multicloud Multi-Everything: Why Your Data Strategy Is Harder Than Your Cloud Strategy An Uber engineer gave a great talk at Kubecon I have wanted to write about: “...we end up having to think about use cases that can either reside entirely within one cloud provider so that I can put training and serving together, or I need to think about the use
devto WebAssembly 3.0 and the Infrastructure We Actually Need "We've finished the model... when do we get to the value?" Here's what I'm watching happen in real time: DevOps teams are spending $$$$$$ annually on cloud egress fees just to move ML models between environments, and flow data to centralized hosting. Platform
AI infrastructure The Fairwater Paradox: Microsoft Built a Monster That Needs 900TB/Second of USEFUL Data Microsoft's Fairwater AI datacenter needs 900TB/second of data, facing challenges in efficiency, storage, and data quality management
