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Beijing's first cross-provincial subway line begins trial run_我的网站

一 |     (ECNS) -- Beijing Subway Line 22, the capital's first urban rail route linking neighboring Hebei Province, began emptyload trial operations Tuesday, according to the Beijing Major Projects Construction Headquarters Office and BII Railway Transportation Technology Holdings Company Limited.    Stretching about 79.1 kilometers with a speed up to 160 km/h on elevated sections and 120 km/h underground, Subway Line 22 runs from Hongmiao in Chaoyang district to Pinggu New Town, with 20 stations in total, including 15 in Beijing and five in Hebei.        Once operational, travel from Yanjiao Town in Hebei to Beijing's Sub-Center Station will take just nine minutes, while journeys to Hongmiao Station in the capital's central business district will be about 28 minutes.    Officials described Line 22 as a "major transport artery" for regional integration. The route will connect with multiple existing lines, including transfers at Hongmiao to Line 14, Guanzhuang to Line 1, Beiguan to Line 6, and Beijing Sub-Center Station to Line 6 and the Beijing-Tangshan intercity railway. The line is expected to be ready for opening by year's end.    (By Gong Weiwei)                        。    

凤凰网科技讯 8月24日，摩尔线程正式发布《MTT S5000 Prefill-as-a-Service技术白皮书》，基于旗舰级AI训推一体智算卡MTT S5000，提出Prefill-Decode异构解耦方案，面向AI Agent、代码生成、超长文档分析等长上下文推理场景，旨在破解推理成本瓶颈。白皮书指出，大模型输入上下文规模进入百K至1M级别后，Prefill（预填充，计算密集型）与Decode（解码，访存密集型）在同一资源池混跑造成结构性算力错配。

二 | 解决方案是将二者彻底解耦，分别运行在各自最契合的硬件资源池上，实现单位Token基础设施成本大幅下降。MTT S5000硬件特性与Prefill任务高度契合：提供高稠密算力压缩首字时延，原生支持FP8全精度计算，并全面兼容CUDA及PyTorch、vLLM等主流推理框架。实测数据显示，在64K上下文场景下，单机Prefill吞吐达95,920 tok/s，按智谱API定价测算，满负载下单机月收入可达64.6万元；400K极限长序列场景TPM达2.6MTokens，吞吐平稳可控。摩尔线程表示，大模型产业竞争下半场本质上是推理效率与商业回报的较量，该方案旨在帮助企业在万亿参数与Agent时代降低总拥有成本。完整白皮书已在官网发布。

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Published on:11:20:08