By taking the role of DevOps, full-stack engineers are not just responsible for writing code; they must ship it, deploy it, scale it and monitor it.
But more recently, the insatiable demands of AI for training and inference is requiring vast amounts of storage and memory.
As flash demand climbs and legacy DRAM supply lags, memory prices are rising across the board. Meanwhile, nearline HDD shortages are forcing hyperscalers to accelerate the adoption of QLC SSDs for ...