Meta’s AI Storage Blueprint at Scale
中文摘要
Meta指出，面对AI模型规模的指数级增长与频繁迭代，快速可靠的存储对提升速度和降低成本至关重要。
English Summary
Meta emphasizes that fast, reliable storage is vital for supporting rapid AI model growth and frequent release cycles while optimizing speed and costs.
原文节选
Over the past several years, model capabilities and training dataset sizes have experienced exponential growth. During the past year or so, the time between new-frontier-model releases has gone down from months to weeks. Reliable and fast access to storage is important to both the speed and computational cost of this AI innovation. If AI is [...] Read More... The post Meta’s AI Storage Blueprint at Scale appeared first on Engineering at Meta.