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概念

PagedAttention

一种内存优化技术,用于高效管理LLM推理中的KV Cache,减少显存碎片。

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已收录 1 条与 PagedAttention 相关的内容,按评分排序。

清华系团队给大模型织了一张“智能算力电网”

Shi Shi Tech builds an intelligent compute grid integrating heterogeneous domestic AI chips, achieving 40% lower token cost, 30–50% higher throughput, and 99.9% availability—enabling a paradigm shift from raw compute resources to standardized, scalable token production capacity.

入选理由:是石科技通过全域异构算力池+深度国产芯片适配(昇腾/昆仑芯等),使闲置国产卡转化为稳定Token产能

FeaturedArticle#LLM Inference#Domestic AI Chips#Compute Orchestration#Shi Shi Tech#Token Economics中文

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