本文作者:龙玥 来源:硬AI 近期,摩根大通与Scale AI数据科学家、Meta前高级数据科学家Sri Kanajan举行电话会议,深入探讨超大规模AI数据中心架构趋势。 Kanajan认为,AI基础设施部署仍处于早期阶段,对产能过剩的担忧有限。算法进步正降低训练算力消耗,基础设施通过“训练转推理”实现高效循环利用,训练集群在新一代GPU推出后被快速重新配置为推理工作负载。不过,电力和冷却问题仍...
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