[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"site-home-live-entry-setting":3,"site-header-contests":8,"news-detail-news-64":49,"site-header-camps":93},{"enabled":4,"title":5,"statusText":5,"buttonText":5,"campSlug":5,"stage":6,"classroomId":7,"hasClassroom":4},false,"",0,null,{"total":9,"list":10,"pageNum":44,"pageSize":45,"size":9,"startRow":44,"endRow":9,"pages":44,"prePage":6,"nextPage":6,"isFirstPage":46,"isLastPage":46,"hasPreviousPage":4,"hasNextPage":4,"navigatePages":47,"navigatepageNums":48,"navigateFirstPage":44,"navigateLastPage":44},3,[11,25,35],{"slug":12,"title":13,"logo":7,"liveUrl":14,"prize":15,"sponsor":16,"description":17,"organizer":18,"startTime":19,"endTime":20,"registrationDeadline":21,"status":22,"dashboardVisibility":23,"createdAt":24},"spring2026","2026春季启元人工智能大赛","https:\u002F\u002Fwww.bilibili.com\u002Fblackboard\u002Flive\u002Flive-activity-player.html?cid=1822703816&quality=0","200,000","麒麟软件有限公司","“2026春季启元人工智能大赛”是由启元实验室主办的面向全国人工智能领域开发者、科研人员及高校学生的权威赛事。大赛旨在促进与培养具备工程实践能力和创新能力的优秀人工智能领域开发者、推广国产软硬件技术与生态、助力国家人工智能产业高质量发展。\n各参赛选手需在规定的比赛周期内，依据赛事规则选定赛题并完成相应挑战，优胜者将共同角逐总额20万元的赛事奖金池，并且还将有机会获得实习和知名企业优质岗位内推资格。","启元实验室","2026-04-19 16:00:00","2026-07-13 16:00:00","2026-06-16 16:00:00","ongoing","private","2026-04-16 08:00:00",{"slug":26,"title":27,"logo":7,"liveUrl":14,"prize":28,"sponsor":7,"description":29,"organizer":18,"startTime":30,"endTime":31,"registrationDeadline":32,"status":33,"dashboardVisibility":23,"createdAt":34},"autumn2025","2025秋季启元人工智能大赛","150,000","“2025秋季启元人工智能大赛”是由启元实验室主办的面向全国人工智能领域开发者、科研人员及高校学生的权威赛事。大赛旨在促进与培养具备工程实践能力和创新能力的优秀人工智能领域开发者、推广国产软硬件技术与生态、助力国家人工智能产业高质量发展。","2025-11-08 08:00:00","2026-01-13 08:00:00","2025-12-30 08:00:00","ended","2025-11-03 08:00:00",{"slug":36,"title":37,"logo":7,"liveUrl":14,"prize":38,"sponsor":7,"description":39,"organizer":18,"startTime":40,"endTime":41,"registrationDeadline":42,"status":33,"dashboardVisibility":23,"createdAt":43},"summer2025","启元人工智能大赛(系统方向)","80,000","启元人工智能大赛由启元实验室主办，其中系统赛道基于启元实验室九源软件栈的相关开源项目，通过拉动开源社区力量，一方面促进国产智能计算生态的发展，另一方面也为人工智能系统方向的学生及从业者提供一个实践平台。","2025-07-08 08:00:00","2025-08-25 08:00:00","2025-07-22 08:00:00","2025-06-22 08:00:00",1,5,true,8,[44],{"newsDetail":50,"processedData":72},{"publishTime":51,"img":52,"keywords":53,"treeType":44,"description":54,"showStatus":44,"updateTime":55,"type":44,"title":56,"content":57,"nextArticle":58,"createTime":55,"sortOrder":63,"canonicalPath":64,"id":65,"contentType":66,"prevArticle":67},"2026-08-12 08:00:00","https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_fm.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=QRPgGxsa8f086yFAmKDguOI9y00%3D","大模型量化,低位精度,量化感知训练,高效推理,深度学习优化","2026 夏季 InfiniTensor 训练营大咖课 4 将于 8 月 12 日 17:00 开讲，清华大学陈键飞副教授主讲《大模型量化》，解析低位宽量化加速训练推理原理及精度保持方法，助力突破大模型算力瓶颈。","2026-10-22 20:38:11","InfiniTensor 训练营大咖课预告 | 清华大学计算机科学与技术系副教授陈键飞《大模型量化》","![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_zw01.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=NWU5whjD1%2Fvjp3rB%2B1yTiHCZ3hk%3D)\r\n\r\n>随着大模型参数规模持续增长，模型能力不断提升，但计算成本、显存占用和部署效率等挑战也日益突出。\r\n>量化技术通过降低模型计算与存储所需的位宽，在减少资源消耗的同时尽可能保持模型性能，为大模型高效训练与推理提供了关键技术路径。\r\n\r\n**今天（8 月 12 日） 17:00** ，2026 夏季 InfiniTensor 训练营邀请**清华大学计算机科学与技术系副教授陈键飞**，带来专题课程《大模型量化》。课程将围绕大模型量化的基本原理展开，解析低位宽计算技术在训练与推理加速中的应用，并探讨如何在提升计算效率的同时保持模型精度，帮助大家了解大模型高效部署背后的关键技术路径。\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_zw02.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=3kkmVmM%2BlPGvaDV9eejtEa8CXsA%3D)\r\n\r\n\r\n### 讲师介绍\r\n\r\n\u003Cdiv align=\"center\">\r\n  \u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_zw03.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ZL1Z2MIGoyP%2F68gEF59egsc%2B4Xg%3D\" alt=\"\" width=\"50%\">\r\n\u003C\u002Fdiv>\r\n\r\n**陈键飞 | 清华大学计算机科学与技术系 副教授**\r\n\r\n🔹2014 年获清华大学计算机学士学位，2019 年获博士学位。入选 2022 年度 CCF 青年人才发展计划，曾获中国计算机学会优秀博士学位论文奖、清华大学水木学者等荣誉。\r\n\r\n🔹主要从事高效机器学习研究，重点关注低位宽与量化神经网络、深度学习优化、概率推理及大模型高效计算。近年来在训练后量化、量化感知训练、全量化训练以及 NVFP4 等低精度计算技术开展理论与算法研究。\r\n\r\n🔹相关成果发表于 ICML、NeurIPS、ICLR 等国际会议，发布了 ActNN、WarpLDA、ZhuSuan、SageAttention 等多个开源软件。\r\n\r\n\r\n### 课程亮点\r\n在本次课程中，陈键飞老师将围绕以下核心内容展开分享：\r\n\r\n1️⃣ 介绍大模型量化的基本原理与核心技术；\r\n\r\n2️⃣ 讲解低位宽量化技术如何提升神经网络训练与推理效率；\r\n\r\n3️⃣ 探讨如何在降低计算和存储开销的同时，保持大模型的计算精度。\r\n\r\n\r\n### 课程直播信息\r\n#### 📅直播时间：**8 月 12 日（周三） 17:00**\r\n\r\n#### 🖥️参与方式：\r\nInfiniTensor 官网： https:\u002F\u002Fwww.infinitensor.com\r\n\r\nB 站直播： InfiniTensor 官方直播间\r\n\r\n视频号直播： InfiniTensor 视频号\r\n\r\n#### ⬇️扫描下方二维码加入训练营官方社群\r\n\r\n\u003Cdiv align=\"center\">\r\n  \u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002Fqun_1072.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=a5D%2BexZB8ThyEc1j38XXd2MG0wQ%3D\" alt=\"\" width=\"50%\">\r\n\u003C\u002Fdiv>\r\n\r\n### 关注与交流\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_ewm02.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=q4ZajpPOgDB7ag1kfZLwC4eCnWA%3D)",{"publishTime":59,"createTime":55,"canonicalPath":60,"id":61,"title":62},"2026-08-11 08:00:00","\u002Fnews\u002Fnews-63","news-63","InfiniTensor 训练营大咖课预告 | 国防科技大学计算机学院研究员余杰《人工智能时代操作系统的机遇与挑战》",10,"\u002Fnews\u002Fnews-64","news-64","markdown",{"publishTime":68,"createTime":55,"canonicalPath":69,"id":70,"title":71},"2026-09-07 08:00:00","\u002Fnews\u002Fnews-66","news-66","2026 春季启元人工智能大赛获奖名单揭晓！",{"htmlContent":73,"headings":74},"\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_zw01.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=NWU5whjD1%2Fvjp3rB%2B1yTiHCZ3hk%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cblockquote>\n\u003Cp>随着大模型参数规模持续增长，模型能力不断提升，但计算成本、显存占用和部署效率等挑战也日益突出。\u003Cbr>量化技术通过降低模型计算与存储所需的位宽，在减少资源消耗的同时尽可能保持模型性能，为大模型高效训练与推理提供了关键技术路径。\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Cp>\u003Cstrong>今天（8 月 12 日） 17:00\u003C\u002Fstrong> ，2026 夏季 InfiniTensor 训练营邀请\u003Cstrong>清华大学计算机科学与技术系副教授陈键飞\u003C\u002Fstrong>，带来专题课程《大模型量化》。课程将围绕大模型量化的基本原理展开，解析低位宽计算技术在训练与推理加速中的应用，并探讨如何在提升计算效率的同时保持模型精度，帮助大家了解大模型高效部署背后的关键技术路径。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_zw02.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=3kkmVmM%2BlPGvaDV9eejtEa8CXsA%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch3 id=\"讲师介绍\">\u003Ca class=\"anchor\" href=\"#讲师介绍\" aria-label=\"跳转到标题：讲师介绍\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>讲师介绍\u003C\u002Fh3>\u003Cdiv align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_64_zw03.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ZL1Z2MIGoyP%2F68gEF59egsc%2B4Xg%3D\" alt=\"\" width=\"50%\">\n\u003C\u002Fdiv>\u003Cp>\u003Cstrong>陈键飞 | 清华大学计算机科学与技术系 副教授\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>🔹2014 年获清华大学计算机学士学位，2019 年获博士学位。入选 2022 年度 CCF 青年人才发展计划，曾获中国计算机学会优秀博士学位论文奖、清华大学水木学者等荣誉。\u003C\u002Fp>\n\u003Cp>🔹主要从事高效机器学习研究，重点关注低位宽与量化神经网络、深度学习优化、概率推理及大模型高效计算。近年来在训练后量化、量化感知训练、全量化训练以及 NVFP4 等低精度计算技术开展理论与算法研究。\u003C\u002Fp>\n\u003Cp>🔹相关成果发表于 ICML、NeurIPS、ICLR 等国际会议，发布了 ActNN、WarpLDA、ZhuSuan、SageAttention 等多个开源软件。\u003C\u002Fp>\n\u003Ch3 id=\"课程亮点\">\u003Ca class=\"anchor\" href=\"#课程亮点\" aria-label=\"跳转到标题：课程亮点\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>课程亮点\u003C\u002Fh3>\u003Cp>在本次课程中，陈键飞老师将围绕以下核心内容展开分享：\u003C\u002Fp>\n\u003Cp>1️⃣ 介绍大模型量化的基本原理与核心技术；\u003C\u002Fp>\n\u003Cp>2️⃣ 讲解低位宽量化技术如何提升神经网络训练与推理效率；\u003C\u002Fp>\n\u003Cp>3️⃣ 探讨如何在降低计算和存储开销的同时，保持大模型的计算精度。\u003C\u002Fp>\n\u003Ch3 id=\"课程直播信息\">\u003Ca class=\"anchor\" href=\"#课程直播信息\" aria-label=\"跳转到标题：课程直播信息\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>课程直播信息\u003C\u002Fh3>\u003Ch4 id=\"直播时间-8-月-12-日-周三-17-00\">\u003Ca class=\"anchor\" href=\"#直播时间-8-月-12-日-周三-17-00\" aria-label=\"跳转到标题：📅直播时间：8 月 12 日（周三） 17:00\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>📅直播时间：\u003Cstrong>8 月 12 日（周三） 17:00\u003C\u002Fstrong>\u003C\u002Fh4>\u003Ch4 id=\"参与方式\">\u003Ca class=\"anchor\" href=\"#参与方式\" aria-label=\"跳转到标题：🖥️参与方式：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>🖥️参与方式：\u003C\u002Fh4>\u003Cp>InfiniTensor 官网： \u003Ca href=\"https:\u002F\u002Fwww.infinitensor.com\">https:\u002F\u002Fwww.infinitensor.com\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>B 站直播： InfiniTensor 官方直播间\u003C\u002Fp>\n\u003Cp>视频号直播： InfiniTensor 视频号\u003C\u002Fp>\n\u003Ch4 id=\"扫描下方二维码加入训练营官方社群\">\u003Ca class=\"anchor\" href=\"#扫描下方二维码加入训练营官方社群\" aria-label=\"跳转到标题：⬇️扫描下方二维码加入训练营官方社群\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>⬇️扫描下方二维码加入训练营官方社群\u003C\u002Fh4>\u003Cdiv align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002Fqun_1072.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=a5D%2BexZB8ThyEc1j38XXd2MG0wQ%3D\" alt=\"\" width=\"50%\">\n\u003C\u002Fdiv>\u003Ch3 id=\"关注与交流\">\u003Ca class=\"anchor\" href=\"#关注与交流\" aria-label=\"跳转到标题：关注与交流\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>关注与交流\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_ewm02.jpg?Expires=1792750183&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=q4ZajpPOgDB7ag1kfZLwC4eCnWA%3D\" alt=\"\">\u003C\u002Fp>\n",[75,77,79,81,85,88,91],{"id":76,"text":76,"level":9},"讲师介绍",{"id":78,"text":78,"level":9},"课程亮点",{"id":80,"text":80,"level":9},"课程直播信息",{"id":82,"text":83,"level":84},"直播时间-8-月-12-日-周三-17-00","📅直播时间：8 月 12 日（周三） 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