{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T07:21:26.498Z","headline":"小红书HELMSMAN：全闪存服务器实现高性能向量检索，硬件成本节省超90%","description":"小红书引擎架构团队在OSDI 2026提出HELMSMAN，一个面向全闪存服务器的高性能向量近似最近邻搜索系统。该系统通过聚类式索引、定制化存储栈和分层学习式搜索剪枝，用约40台全闪存服务器承载了过去约35，000 CPU Core和约350 TB DRAM的负载，硬件成本节省超过90%。","url":"https://www.aioga.com/news/cmrwztuqg0000roqpmbblplr7/","mainEntityOfPage":"https://www.aioga.com/news/cmrwztuqg0000roqpmbblplr7/","datePublished":"2026-07-23T04:00:00.000Z","dateModified":"2026-07-23T04:00:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://mp.weixin.qq.com/s/WCYE6itbTBPU0Q_3BfQxkA","https://aihot.virxact.com/items/cmrwztuqg0000roqpmbblplr7"],"canonicalUrl":"https://www.aioga.com/news/cmrwztuqg0000roqpmbblplr7/","directAnswer":{"@type":"Answer","text":"小红书引擎架构团队在OSDI 2026提出HELMSMAN。该系统面向全闪存服务器，以聚类式索引、定制化存储栈和分层学习式搜索剪枝实现向量近似最近邻搜索。","url":"https://www.aioga.com/news/cmrwztuqg0000roqpmbblplr7/","dateCreated":"2026-07-23T04:00:00.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"公众号：小红书技术（dots.llm） source article","url":"https://mp.weixin.qq.com/s/WCYE6itbTBPU0Q_3BfQxkA","datePublished":"2026-07-23T04:00:00.000Z","provider":{"@type":"Organization","name":"公众号：小红书技术（dots.llm）","url":"https://mp.weixin.qq.com/s/WCYE6itbTBPU0Q_3BfQxkA"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrwztuqg0000roqpmbblplr7","datePublished":"2026-07-23T04:00:00.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrwztuqg0000roqpmbblplr7"}}],"aggregationSource":"公众号：小红书技术（dots.llm）","originalPublisher":{"name":"公众号：小红书技术（dots.llm）","url":"https://mp.weixin.qq.com/s/WCYE6itbTBPU0Q_3BfQxkA"},"article":{"id":"cmrwztuqg0000roqpmbblplr7","slug":"cmrwztuqg0000roqpmbblplr7","url":"https://www.aioga.com/news/cmrwztuqg0000roqpmbblplr7/","title":"小红书HELMSMAN：全闪存服务器实现高性能向量检索，硬件成本节省超90%","title_en":"小红书引擎架构团队OSDI 2026新成果：HELMSMAN重塑大规模向量检索基础设施","summary":"小红书引擎架构团队在OSDI 2026提出HELMSMAN，一个面向全闪存服务器的高性能向量近似最近邻搜索系统。该系统通过聚类式索引、定制化存储栈和分层学习式搜索剪枝，用约40台全闪存服务器承载了过去约35，000 CPU Core和约350 TB DRAM的负载，硬件成本节省超过90%。","source":"公众号：小红书技术（dots.llm）","sourceUrl":"https://mp.weixin.qq.com/s/WCYE6itbTBPU0Q_3BfQxkA","aiHotUrl":"https://aihot.virxact.com/items/cmrwztuqg0000roqpmbblplr7","publishedAt":"2026-07-23T04:00:00.000Z","category":"论文研究","score":77,"selected":true,"articleBody":["小红书引擎架构团队在OSDI 2026提出HELMSMAN，一个面向全闪存服务器的高性能向量近似最近邻搜索系统。","该系统通过聚类式索引、定制化存储栈和分层学习式搜索剪枝，用约40台全闪存服务器承载了过去约35，000 CPU Core和约350 TB DRAM的负载，硬件成本节省超过90%。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":[],"translationStatus":"","bodyOrigin":"summary-fallback","editorial":{"summary":"小红书引擎架构团队在OSDI 2026提出HELMSMAN。该系统面向全闪存服务器，以聚类式索引、定制化存储栈和分层学习式搜索剪枝实现向量近似最近邻搜索。","background":"公开材料称，HELMSMAN用约40台全闪存服务器承载了过去约35000个CPU核心和约350 TB DRAM对应的负载，报告的硬件成本节省幅度超过90%。","viewpoint":"Aioga判断，HELMSMAN值得关注之处在于将索引结构、存储栈与搜索剪枝协同设计，并以全闪存服务器承接原有大规模计算与内存负载。","implications":"Aioga判断，该结果可能为高性能向量检索的硬件配置提供新的工程参考；但现有材料未披露测试数据集、延迟、召回率及成本核算口径，不宜扩大结论。","nextStep":"值得关注后续论文或团队披露的完整实验设置，包括近似最近邻搜索质量、延迟与吞吐表现、闪存读写特征，以及超过90%硬件成本节省的计算边界。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-23T04:51:49.158Z","sourceHash":"ee00ec5ddf15fdba","review":{"approved":true,"groundedness":96,"clarity":92,"duplicationRisk":22,"blockingIssues":[],"notes":["“公开材料称”和“Aioga判断”清楚区分了来源事实与编辑观点。","对测试数据集、延迟、召回率和成本核算口径尚未披露的限定，符合所提供材料的信息边界。","候选内容与来源在系统定位、技术路径、服务器数量、原负载规模及硬件成本节省幅度等关键信息上保持一致。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["论文研究","公众号：小红书技术（dots.llm）"],"translations":{"zh-CN":{"title":"小红书HELMSMAN：全闪存服务器实现高性能向量检索，硬件成本节省超90%","summary":"小红书引擎架构团队在OSDI 2026提出HELMSMAN，一个面向全闪存服务器的高性能向量近似最近邻搜索系统。该系统通过聚类式索引、定制化存储栈和分层学习式搜索剪枝，用约40台全闪存服务器承载了过去约35，000 CPU Core和约350 TB DRAM的负载，硬件成本节省超过90%。","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"小红书HELMSMAN：全闪存服务器实现高性能向量检索，硬件成本节省超90% - Aioga AI资讯","description":"小红书引擎架构团队在OSDI 2026提出HELMSMAN，一个面向全闪存服务器的高性能向量近似最近邻搜索系统。该系统通过聚类式索引、定制化存储栈和分层学习式搜索剪枝，用约40台全闪存服务器承载了过去约35，000 CPU Core和约350 TB DRAM的负载，硬件成本节省超过90%。","url":"https://www.aioga.com/news/cmrwztuqg0000roqpmbblplr7/"},"en":{"title":"Xiaohongshu HELMSMAN: All-flash servers achieve high-performance vector search, saving over 90% in hardware costs","summary":"The Xiaohongshu Engine Architecture Team proposed HELMSMAN at OSDI 2026, a high-performance vector approximate nearest neighbor search system for all-flash servers. This system uses clustered indexing, a customized storage stack, and hierarchical learning-based search pruning to handle workloads that previously required about 35,000 CPU cores and approximately 350 TB of DRAM with around 40 all-flash servers, resulting in hardware cost savings of over 90%.","category":"Research","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: All-flash servers achieve high-performance vector search, saving over 90% in hardware costs - Aioga AI News","description":"The Xiaohongshu Engine Architecture Team proposed HELMSMAN at OSDI 2026, a high-performance vector approximate nearest neighbor search system for all-flash servers. This system use...","url":"https://www.aioga.com/en/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:44:44.191Z"},"ja":{"title":"小红书HELMSMAN：全フラッシュサーバーで高性能ベクトル検索を実現、ハードウェアコストを90%以上節約","summary":"小紅書エンジンアーキテクチャチームはOSDI 2026でHELMSMANを提案しました。これは、全フラッシュサーバー向けの高性能ベクトル近似最近傍検索システムです。このシステムは、クラスタリング型インデックス、カスタマイズされたストレージスタック、階層的学習ベースの検索プルーニングを通じて、約40台の全フラッシュサーバーで過去に約35,000 CPUコアと約350 TBのDRAM負荷を維持し、ハードウェアコストを90％以上削減しました。","category":"論文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"小红书HELMSMAN：全フラッシュサーバーで高性能ベクトル検索を実現、ハードウェアコストを90%以上節約 - Aioga AIニュース","description":"小紅書エンジンアーキテクチャチームはOSDI 2026でHELMSMANを提案しました。これは、全フラッシュサーバー向けの高性能ベクトル近似最近傍検索システムです。このシステムは、クラスタリング型インデックス、カスタマイズされたストレージスタック、階層的学習ベースの検索プルーニングを通じて、約40台の全フラッシュサーバーで過去に約35,000 CPUコアと約...","url":"https://www.aioga.com/ja/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:44:54.593Z"},"ko":{"title":"샤오홍슈HELMSMAN: 올 플래시 서버로 고성능 벡터 검색 구현, 하드웨어 비용 90% 이상 절감","summary":"샤오홍슈 엔진 아키텍처 팀은 OSDI 2026에서 HELMSMAN을 발표했는데, 이는 올 플래시 서버를 대상으로 한 고성능 벡터 근사 최근접 이웃 검색 시스템이다. 이 시스템은 클러스터형 인덱스, 맞춤형 스토리지 스택, 계층적 학습 기반 검색 가지치기를 통해 약 40대의 올 플래시 서버로 과거 약 35,000 CPU 코어와 약 350 TB DRAM의 부하를 처리했으며, 하드웨어 비용을 90% 이상 절감했다.","category":"연구","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"샤오홍슈HELMSMAN: 올 플래시 서버로 고성능 벡터 검색 구현, 하드웨어 비용 90% 이상 절감 - Aioga AI 뉴스","description":"샤오홍슈 엔진 아키텍처 팀은 OSDI 2026에서 HELMSMAN을 발표했는데, 이는 올 플래시 서버를 대상으로 한 고성능 벡터 근사 최근접 이웃 검색 시스템이다. 이 시스템은 클러스터형 인덱스, 맞춤형 스토리지 스택, 계층적 학습 기반 검색 가지치기를 통해 약 40대의 올 플래시 서버로 과거 약 35,000 CPU 코어...","url":"https://www.aioga.com/ko/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:45:39.315Z"},"es":{"title":"Xiaohongshu HELMSMAN: Servidor totalmente de memoria flash logra búsqueda de vectores de alto rendimiento, ahorro de más del 90% en costos de hardware","summary":"El equipo de arquitectura de motores de Xiaohongshu presentó en OSDI 2026 HELMSMAN, un sistema de búsqueda de vecinos más cercanos aproximados de alto rendimiento para servidores totalmente basados en flash. Este sistema, mediante un índice tipo clúster, una pila de almacenamiento personalizada y la poda de búsqueda jerárquica basada en aprendizaje, soporta con unas 40 servidores totalmente flash la carga que anteriormente requería aproximadamente 35,000 núcleos de CPU y unos 350 TB de DRAM, logrando un ahorro de más del 90% en costos de hardware.","category":"Investigación","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Servidor totalmente de memoria flash logra búsqueda de vectores de alto rendimiento, ahorro de más del 90% en costos de hardware - Aioga Noticias de IA","description":"El equipo de arquitectura de motores de Xiaohongshu presentó en OSDI 2026 HELMSMAN, un sistema de búsqueda de vecinos más cercanos aproximados de alto rendimiento para servidores t...","url":"https://www.aioga.com/es/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:45:39.311Z"},"fr":{"title":"Xiaohongshu HELMSMAN : Serveur tout flash pour réaliser une recherche vectorielle haute performance, économisant plus de 90 % des coûts matériels","summary":"L'équipe d'architecture moteur de Xiaohongshu a présenté à l'OSDI 2026 HELMSMAN, un système de recherche de voisins les plus proches approximatifs vectoriels haute performance pour serveurs entièrement flash. Ce système, grâce à un index de type clustering, une pile de stockage personnalisée et une élagage de recherche hiérarchique basée sur l'apprentissage, prend en charge avec environ 40 serveurs entièrement flash une charge qui nécessitait auparavant environ 35 000 cœurs CPU et environ 350 To de DRAM, permettant d'économiser plus de 90 % des coûts matériels.","category":"Recherche","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN : Serveur tout flash pour réaliser une recherche vectorielle haute performance, économisant plus de 90 % des coûts matériels - Aioga Actualités IA","description":"L'équipe d'architecture moteur de Xiaohongshu a présenté à l'OSDI 2026 HELMSMAN, un système de recherche de voisins les plus proches approximatifs vectoriels haute performance pour...","url":"https://www.aioga.com/fr/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:46:20.781Z"},"de":{"title":"Xiaohongshu HELMSMAN: Vollflashed-Server realisieren Hochleistungs-Vektorsuche, Hardwarekosten werden um über 90% gesenkt","summary":"Das Engine-Architekturteam von Xiaohongshu stellte auf der OSDI 2026 HELMSMAN vor, ein Hochleistungs-Vektor-näherungs-Nächstnachbarsuche-System für All-Flash-Server. Das System nutzt clusteringbasierte Indizes, eine maßgeschneiderte Speicherschicht und hierarchisches, lernbasiertes Such-Trimming und kann mit etwa 40 All-Flash-Servern die Last von zuvor etwa 35.000 CPU-Kernen und etwa 350 TB DRAM tragen, wobei die Hardwarekosten um über 90 % gesenkt werden.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Vollflashed-Server realisieren Hochleistungs-Vektorsuche, Hardwarekosten werden um über 90% gesenkt - Aioga KI-News","description":"Das Engine-Architekturteam von Xiaohongshu stellte auf der OSDI 2026 HELMSMAN vor, ein Hochleistungs-Vektor-näherungs-Nächstnachbarsuche-System für All-Flash-Server. Das System nut...","url":"https://www.aioga.com/de/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:46:27.228Z"},"pt-BR":{"title":"Xiaohongshu HELMSMAN: Servidor totalmente em flash realiza busca vetorial de alto desempenho, economizando mais de 90% nos custos de hardware","summary":"A equipe de arquitetura de motores do XiaoHongShu apresentou no OSDI 2026 o HELMSMAN, um sistema de busca de vizinhos mais próximos aproximados de vetor de alto desempenho voltado para servidores totalmente em flash. O sistema, através de índices em cluster, pilha de armazenamento personalizada e poda de busca em aprendizagem hierárquica, suporta a carga de aproximadamente 35.000 núcleos de CPU e cerca de 350 TB de DRAM em cerca de 40 servidores totalmente em flash, economizando mais de 90% nos custos de hardware.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Servidor totalmente em flash realiza busca vetorial de alto desempenho, economizando mais de 90% nos custos de hardware - Aioga Notícias de IA","description":"A equipe de arquitetura de motores do XiaoHongShu apresentou no OSDI 2026 o HELMSMAN, um sistema de busca de vizinhos mais próximos aproximados de vetor de alto desempenho voltado...","url":"https://www.aioga.com/pt-BR/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:47:09.566Z"},"ru":{"title":"Xiaohongshu HELMSMAN: Сервер с полностью флеш-памятью обеспечивает высокопроизводительный векторный поиск, экономия на аппаратных затратах более 90%","summary":"Команда по архитектуре движка Xiaohongshu на OSDI 2026 представила HELMSMAN, высокопроизводительную систему поиска приближенных ближайших соседей по векторам для серверов с полностью флеш-памятью. Эта система с помощью кластерного индексирования, кастомизированного стека хранения и многоуровневой обучаемой отсекающей процедуры поиска позволила на примерно 40 серверах с полностью флеш-памятью обслуживать нагрузку, эквивалентную примерно 35 000 CPU-ядер и около 350 ТБ DRAM, при этом экономия на аппаратных средствах превысила 90%.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Сервер с полностью флеш-памятью обеспечивает высокопроизводительный векторный поиск, экономия на аппаратных затратах более 90% - Aioga Новости ИИ","description":"Команда по архитектуре движка Xiaohongshu на OSDI 2026 представила HELMSMAN, высокопроизводительную систему поиска приближенных ближайших соседей по векторам для серверов с полност...","url":"https://www.aioga.com/ru/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:47:11.869Z"},"ar":{"title":"Xiaohongshu HELMSMAN: خوادم الفلاش بالكامل تحقق البحث عالي الأداء عن المتجهات، وتوفر أكثر من 90٪ في تكلفة الأجهزة","summary":"قدم فريق هندسة المحرك في Xiaohongshu في OSDI 2026 نظام HELMSMAN، وهو نظام بحث قريب تقريبي عالي الأداء للمتجهات موجه لخوادم الفلاش الكاملة. يعتمد هذا النظام على الفهرسة العنقودية، والمكدس التخزيني المخصص، والتقليم التعليمي الهرمي للبحث، ليتمكن من تحمل عبء العمل الذي كان يحتاج سابقًا إلى حوالي 35,000 نواة معالج و حوالي 350 تيرابايت من ذاكرة الوصول العشوائي على نحو 40 خادم فلاش كامل، ما يوفر أكثر من 90% من تكلفة الأجهزة.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: خوادم الفلاش بالكامل تحقق البحث عالي الأداء عن المتجهات، وتوفر أكثر من 90٪ في تكلفة الأجهزة - Aioga أخبار الذكاء الاصطناعي","description":"قدم فريق هندسة المحرك في Xiaohongshu في OSDI 2026 نظام HELMSMAN، وهو نظام بحث قريب تقريبي عالي الأداء للمتجهات موجه لخوادم الفلاش الكاملة. يعتمد هذا النظام على الفهرسة العنقودية، و...","url":"https://www.aioga.com/ar/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:48:06.421Z"},"hi":{"title":"Xiaohongshu HELMSMAN: पूरी फ्लैश स्टोरेज सर्वर उच्च प्रदर्शन वेक्टर खोज को सक्षम करता है, हार्डवेयर लागत में 90% से अधिक की बचत","summary":"小红书 इंजन आर्किटेक्चर टीम ने OSDI 2026 में HELMSMAN पेश किया, जो एक उच्च प्रदर्शन वाला वेक्टर अनुमानित निकटतम पड़ोसी खोज प्रणाली है जो पूरी तरह से फ्लैश सर्वर के लिए है। यह प्रणाली क्लस्टरिंग इंडेक्स, अनुकूलित स्टोरेज स्टैक और स्तरित लर्निंग-आधारित खोज छंटाई के माध्यम से, लगभग 40 पूरी तरह से फ्लैश सर्वरों पर पिछले लगभग 35,000 CPU कोर और लगभग 350 TB DRAM के लोड को संभालती है, और हार्डवेयर लागत में 90% से अधिक की बचत करती है।","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: पूरी फ्लैश स्टोरेज सर्वर उच्च प्रदर्शन वेक्टर खोज को सक्षम करता है, हार्डवेयर लागत में 90% से अधिक की बचत - Aioga AI समाचार","description":"小红书 इंजन आर्किटेक्चर टीम ने OSDI 2026 में HELMSMAN पेश किया, जो एक उच्च प्रदर्शन वाला वेक्टर अनुमानित निकटतम पड़ोसी खोज प्रणाली है जो पूरी तरह से फ्लैश सर्वर के लिए है। यह प्रणाली...","url":"https://www.aioga.com/hi/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:48:00.548Z"},"it":{"title":"Xiaohongshu HELMSMAN: server a memoria flash completa realizza ricerca vettoriale ad alte prestazioni, risparmio sui costi hardware superiore al 90%","summary":"Il team di architettura dei motori di Xiaohongshu ha presentato a OSDI 2026 HELMSMAN, un sistema ad alte prestazioni per la ricerca di vicini approssimativi vettoriali su server completamente dotati di memoria flash. Il sistema, tramite indicizzazione a cluster, stack di archiviazione personalizzato e potatura di ricerca stratificata basata sull'apprendimento, ha gestito con circa 40 server completamente flash il carico che precedentemente richiedeva circa 35.000 core CPU e circa 350 TB di DRAM, risparmiando oltre il 90% dei costi hardware.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: server a memoria flash completa realizza ricerca vettoriale ad alte prestazioni, risparmio sui costi hardware superiore al 90% - Aioga Notizie IA","description":"Il team di architettura dei motori di Xiaohongshu ha presentato a OSDI 2026 HELMSMAN, un sistema ad alte prestazioni per la ricerca di vicini approssimativi vettoriali su server co...","url":"https://www.aioga.com/it/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:48:52.128Z"},"nl":{"title":"Xiaohongshu HELMSMAN: Volledig flashserver realiseert high-performance vector retrieval, bespaart meer dan 90% op hardwarekosten","summary":"Het architectuurteam van Xiaohongshu Engine stelde op OSDI 2026 HELMSMAN voor, een hoogpresterend vector-approximate nearest neighbor search-systeem voor volledig flash-gebaseerde servers. Dit systeem gebruikt clustertype indexering, een aangepaste opslagstack en hiërarchische leergedreven zoekbesnoeiing, en kan met ongeveer 40 volledig flash-gebaseerde servers de belasting dragen van ongeveer 35.000 CPU-cores en ongeveer 350 TB DRAM uit het verleden, waardoor de hardwarekosten met meer dan 90% worden bespaard.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Volledig flashserver realiseert high-performance vector retrieval, bespaart meer dan 90% op hardwarekosten - Aioga AI-nieuws","description":"Het architectuurteam van Xiaohongshu Engine stelde op OSDI 2026 HELMSMAN voor, een hoogpresterend vector-approximate nearest neighbor search-systeem voor volledig flash-gebaseerde...","url":"https://www.aioga.com/nl/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:48:48.511Z"},"tr":{"title":"Xiaohongshu HELMSMAN: Tam flash sunucular ile yüksek performanslı vektör arama gerçekleştiriliyor, donanım maliyetlerinde %90'dan fazla tasarruf sağlanıyor","summary":"Xiaohongshu motor mimarisi ekibi, OSDI 2026'da HELMSMAN'ı sundu; bu, tüm flaş sunuculara yönelik yüksek performanslı vektör benzeri en yakın komşu arama sistemidir. Sistem, kümeleme tabanlı indeksleme, özelleştirilmiş depolama yığını ve katmanlı öğrenme tabanlı arama budama yöntemleriyle, yaklaşık 40 flaş sunucu ile geçmişte yaklaşık 35.000 CPU çekirdeği ve yaklaşık 350 TB DRAM yükünü taşırken, donanım maliyetinde %90'dan fazla tasarruf sağladı.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Tam flash sunucular ile yüksek performanslı vektör arama gerçekleştiriliyor, donanım maliyetlerinde %90'dan fazla tasarruf sağlanıyor - Aioga AI Haberleri","description":"Xiaohongshu motor mimarisi ekibi, OSDI 2026'da HELMSMAN'ı sundu; bu, tüm flaş sunuculara yönelik yüksek performanslı vektör benzeri en yakın komşu arama sistemidir. Sistem, kümelem...","url":"https://www.aioga.com/tr/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:49:45.681Z"},"vi":{"title":"Xiaohongshu HELMSMAN: Máy chủ toàn bộ flash thực hiện tìm kiếm vectơ hiệu suất cao, tiết kiệm hơn 90% chi phí phần cứng","summary":"Đội ngũ kiến trúc động cơ của Xiaohongshu đã giới thiệu HELMSMAN tại OSDI 2026, một hệ thống tìm kiếm gần nhất vector xấp xỉ hiệu suất cao dành cho máy chủ toàn bộ bộ nhớ flash. Hệ thống này thông qua chỉ mục theo cụm, ngăn xếp lưu trữ tùy chỉnh và cắt tỉa tìm kiếm theo học tập phân tầng, đã chịu tải của khoảng 35.000 lõi CPU và khoảng 350 TB DRAM trước đây với chỉ khoảng 40 máy chủ toàn bộ bộ nhớ flash, tiết kiệm hơn 90% chi phí phần cứng.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Máy chủ toàn bộ flash thực hiện tìm kiếm vectơ hiệu suất cao, tiết kiệm hơn 90% chi phí phần cứng - Tin tức AI Aioga","description":"Đội ngũ kiến trúc động cơ của Xiaohongshu đã giới thiệu HELMSMAN tại OSDI 2026, một hệ thống tìm kiếm gần nhất vector xấp xỉ hiệu suất cao dành cho máy chủ toàn bộ bộ nhớ flash. Hệ...","url":"https://www.aioga.com/vi/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:49:33.805Z"},"id":{"title":"Xiaohongshu HELMSMAN: Server all-flash mewujudkan pencarian vektor berkinerja tinggi, penghematan biaya perangkat keras lebih dari 90%","summary":"Tim arsitektur mesin Xiaohongshu di OSDI 2026 mengusulkan HELMSMAN, sebuah sistem pencarian tetangga terdekat vektor perkiraan berperforma tinggi untuk server all-flash. Sistem ini menanggung beban sekitar 35.000 inti CPU dan sekitar 350 TB DRAM sebelumnya hanya dengan sekitar 40 server all-flash melalui indeks klaster, tumpukan penyimpanan kustom, dan pemangkasan pencarian bertingkat berbasis pembelajaran, menghemat lebih dari 90% biaya perangkat keras.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Server all-flash mewujudkan pencarian vektor berkinerja tinggi, penghematan biaya perangkat keras lebih dari 90% - Berita AI Aioga","description":"Tim arsitektur mesin Xiaohongshu di OSDI 2026 mengusulkan HELMSMAN, sebuah sistem pencarian tetangga terdekat vektor perkiraan berperforma tinggi untuk server all-flash. Sistem ini...","url":"https://www.aioga.com/id/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:50:28.126Z"},"th":{"title":"Xiaohongshu HELMSMAN: เซิร์ฟเวอร์แฟลชทั้งหมดทำให้การค้นหาเวกเตอร์ประสิทธิภาพสูงเป็นไปได้ ลดต้นทุนฮาร์ดแวร์มากกว่า 90%","summary":"ทีมสถาปัตยกรรมเครื่องมือค้นหาของ Xiaohongshu ได้นำเสนอ HELMSMAN ที่งาน OSDI 2026 ซึ่งเป็นระบบค้นหาเวกเตอร์ใกล้เคียงสูงประสิทธิภาพสำหรับเซิร์ฟเวอร์แฟลชทั้งหมด ระบบนี้ใช้ดัชนีแบบจัดกลุ่ม, กองเก็บข้อมูลที่ปรับแต่งเอง และการตัดแต่งการค้นหาแบบเรียนรู้ชั้น เพื่อให้เซิร์ฟเวอร์แฟลชทั้งหมดประมาณ 40 เครื่องรับภาระงานเทียบเท่ากับ CPU Core ประมาณ 35,000 ตัวและ DRAM ประมาณ 350 TB ในอดีต โดยสามารถประหยัดค่าใช้จ่ายด้านฮาร์ดแวร์ได้มากกว่า 90%","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: เซิร์ฟเวอร์แฟลชทั้งหมดทำให้การค้นหาเวกเตอร์ประสิทธิภาพสูงเป็นไปได้ ลดต้นทุนฮาร์ดแวร์มากกว่า 90% - ข่าว AI Aioga","description":"ทีมสถาปัตยกรรมเครื่องมือค้นหาของ Xiaohongshu ได้นำเสนอ HELMSMAN ที่งาน OSDI 2026 ซึ่งเป็นระบบค้นหาเวกเตอร์ใกล้เคียงสูงประสิทธิภาพสำหรับเซิร์ฟเวอร์แฟลชทั้งหมด ระบบนี้ใช้ดัชนีแบบจัดก...","url":"https://www.aioga.com/th/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:50:37.037Z"},"pl":{"title":"Xiaohongshu HELMSMAN: Serwery z pełną pamięcią flash realizują wysokowydajne wyszukiwanie wektorowe, oszczędzając ponad 90% kosztów sprzętu","summary":"Zespół ds. architektury silnika Xiaohongshu na OSDI 2026 przedstawił HELMSMAN, wysoko wydajny system wyszukiwania przybliżonych najbliższych sąsiadów wektorów dla serwerów z pełnym dyskiem flash. System ten wykorzystuje indeksy klastrowe, dostosowany stos magazynowy i hierarchiczne cięcie wyszukiwania oparte na uczeniu się, obsługując około 40 serwerów z pełnym dyskiem flash, które wcześniej wymagały około 35 000 rdzeni CPU i około 350 TB pamięci DRAM, przy czym koszty sprzętu zostały zmniejszone o ponad 90%.","category":"论文研究","source":"公众号：小红书技术（dots.llm）","aggregationSource":"公众号：小红书技术（dots.llm）","pageTitle":"Xiaohongshu HELMSMAN: Serwery z pełną pamięcią flash realizują wysokowydajne wyszukiwanie wektorowe, oszczędzając ponad 90% kosztów sprzętu - Aioga Wiadomości AI","description":"Zespół ds. architektury silnika Xiaohongshu na OSDI 2026 przedstawił HELMSMAN, wysoko wydajny system wyszukiwania przybliżonych najbliższych sąsiadów wektorów dla serwerów z pełnym...","url":"https://www.aioga.com/pl/news/cmrwztuqg0000roqpmbblplr7/","contentTranslated":true,"sourceHash":"048f76c4152f2880","translatedAt":"2026-07-23T04:51:28.706Z"}}}}