人工智能浪潮下，新一代DDR5內存嚴重斷貨。Meta聯合臺積電、美光等開發出過渡方案，讓僅支持DDR5的AI服務器能穩定運行DDR4內存。這套“縫合怪”系統實測穩定性出衆，有效避免數據中心建設受阻。
阿里國際數字商業團隊推出Marco-Mini-Instruct模型，參數量17.3B，激活參數僅0.86B，推理效率高，可在普通CPU上流暢運行。採用8bit量化與4條DDR4 2400內存時，推理速度約30token/s，推動MoE架構實用化。
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