人工智能浪潮下，新一代DDR5内存严重断货。Meta联合台积电、美光等开发出过渡方案，让仅支持DDR5的AI服务器能稳定运行DDR4内存。这套“缝合怪”系统实测稳定性出众，有效避免数据中心建设受阻。
阿里国际数字商业团队推出Marco-Mini-Instruct模型，参数量17.3B，激活参数仅0.86B，推理效率高，可在普通CPU上流畅运行。采用8bit量化与4条DDR4 2400内存时，推理速度约30token/s，推动MoE架构实用化。
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