9月23日，北京商报记者获悉，百度智能云联合SGLang社区围绕多芯适配、上下文缓存、KV Cache优化、显存优化、MoE（混合专家模型）专家压缩和推理服务治理等话题，梳理出Agent（智能体）走向生产环境所需要的推理底座。 Agent时代，推理基础设施需要从底层硬件适配、计算效率优化到上下文管理进行系统性升级。要实现这一目标，面对超大模型部署，百度百舸通过权重零冗余分布式部署、显存占用优化和...
Source Link9月23日，北京商报记者获悉，百度智能云联合SGLang社区围绕多芯适配、上下文缓存、KV Cache优化、显存优化、MoE（混合专家模型）专家压缩和推理服务治理等话题，梳理出Agent（智能体）走向生产环境所需要的推理底座。 Agent时代，推理基础设施需要从底层硬件适配、计算效率优化到上下文管理进行系统性升级。要实现这一目标，面对超大模型部署，百度百舸通过权重零冗余分布式部署、显存占用优化和...
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