{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-09-21T07:00:56.262Z","headline":"谷歌拆解退役服务器回收 DDR4 内存，重新部署至新型 AI 服务器","description":"据 Wccftech 报道，谷歌供应链基础设施高级总监尼基尔·切里安在峰会论坛上透露，AI 产业已由算力受限转变为内存受限，高性能内存约占单台 AI 服务器物料成本的 75%。谷歌为此拆解退役服务器回收 DDR4 内存模组，并设计专用转接卡，在部分场景用 DDR4 替代新型 AI 服务器原规划的 DDR5；同时谷歌还在优化底层函数库、模型架构及 KV 缓存压缩算法以降低内存开销。","url":"https://www.aioga.com/news/cmtk95chs02brrovgofwg4d1f/","mainEntityOfPage":"https://www.aioga.com/news/cmtk95chs02brrovgofwg4d1f/","datePublished":"2026-09-02T15:00:26.000Z","dateModified":"2026-09-02T15:00:26.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.ithome.com/0/997/687.htm","https://aihot.virxact.com/items/cmtk95chs02brrovgofwg4d1f"],"canonicalUrl":"https://www.aioga.com/news/cmtk95chs02brrovgofwg4d1f/","directAnswer":{"@type":"Answer","text":"据摘要和正文，谷歌供应链基础设施高级总监尼基尔·切里安称，人工智能产业已由算力受限转向内存受限，高性能内存约占单台典型人工智能服务器物料成本的75%。谷歌拆解退役服务器回收DDR4，并通过专用转接卡在部分场景替代原规划的DDR5，同时优化软件和缓存算法。","url":"https://www.aioga.com/news/cmtk95chs02brrovgofwg4d1f/","dateCreated":"2026-09-02T15:00:26.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial 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产业已由算力受限转变为内存受限，高性能内存约占单台 AI 服务器物料成本的 75%。谷歌为此拆解退役服务器回收 DDR4 内存模组，并设计专用转接卡，在部分场景用 DDR4 替代新型 AI 服务器原规划的 DDR5；同时谷歌还在优化底层函数库、模型架构及 KV 缓存压缩算法以降低内存开销。","source":"IT之家（RSS）","sourceUrl":"https://www.ithome.com/0/997/687.htm","aiHotUrl":"https://aihot.virxact.com/items/cmtk95chs02brrovgofwg4d1f","publishedAt":"2026-09-02T15:00:26.000Z","category":"行业动态","score":58,"selected":false,"articleBody":["IT之家：https://www.ithome.com/ 9 月 2 日消息，据 Wccftech 报道，DRAM 领域的供应持续吃紧，迫使 AI 服务商不得不各出奇招，只为抢购极度紧缺的内存资源。","谷歌供应链基础设施高级总监尼基尔 · 切里安（Nikhil Cherian）近日在出席峰会论坛时透露， 人工智能产业已迅速由“算力受限”转变为“内存受限” 。在单台典型的 AI 服务器中，高性能内存占其物料清单的成本比例已高达约 75%。","切里安表示，为了“突破内存瓶颈， 谷歌正同时从软件和硬件两端协同发力 ”。为此，谷歌甚至拆解了退役服务器以回收尚具利用价值的元器件，从而构建出一套内部循环利用的供应链体系。","在某些应用场景下，谷歌似乎已被迫妥协 —— 不得不重新采用规格较旧的 DDR4 内存模组，以替代其新型 AI 服务器原本规划的 DDR5 模组。","事实上，谷歌设计了专用的硬件转接卡，使得 DDR4 等上一代内存方案能够接入其新一代 AI 服务器。切里安坦言，谷歌正是特意将这批退役服务器调回机房， 目的就是拆解并回收其中的 DDR4 内存模组 。","IT之家注：为模型推理任务进行针对性优化的 TPU8i 芯片采用专用分层存储体系，在整机层面依托高速 DDR5 内存体系结构，专门负责处理数据预处理等任务。此外，每颗 TPU 8i 芯片均搭载 288 GB 的 HBM3e 高带宽内存。","与此同时，这家科技巨头还在持续优化底层函数库、模型架构以及 KV 缓存压缩算法，竭力降低单位算力下的内存开销。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":["谷歌拆解退役服务器回收 DDR4 内存，重新部署至新型 AI 服务器 这条更新来自 ithome.com，发布时间为 2026-09-02，Aioga 保留原文入口以便核验。","摘要：据 Wccftech 报道，谷歌供应链基础设施高级总监尼基尔·切里安在峰会论坛上透露，AI 产业已由算力受限转变为内存受限，高性能内存约占单台 AI 服务器物料成本的 75%。谷歌为此拆解退役服务器回收 DDR4 内存模组，并设计专用转接卡，在部分场景用 DDR4 替代新型 AI 服务器原规划的 DDR5；同时谷歌还在优化底层函数库、模型架构及 KV 缓存压缩算法以降低内存开销。","背景：背景分析：公司与行业类动态需要放在竞争格局、商业化路径、资本信号和监管环境中观察，单条公告不能代表最终结果。","Aioga 观察：Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","影响与后续：影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。 后续观察：继续观察官方文件、合作落地、收入或用户信号、竞品动作和监管后续。"],"translationStatus":"","bodyOrigin":"source-page","editorial":{"summary":"据摘要和正文，谷歌供应链基础设施高级总监尼基尔·切里安称，人工智能产业已由算力受限转向内存受限，高性能内存约占单台典型人工智能服务器物料成本的75%。谷歌拆解退役服务器回收DDR4，并通过专用转接卡在部分场景替代原规划的DDR5，同时优化软件和缓存算法。","background":"IT之家援引Wccftech称，DRAM供应持续吃紧，人工智能服务商面临内存资源紧缺。谷歌正从硬件和软件两端应对内存瓶颈，包括回收退役服务器中的DDR4内存模组、设计专用转接卡，并优化底层函数库、模型架构及KV缓存压缩算法。","viewpoint":"Aioga判断：材料显示，谷歌采取硬件回收、接口适配和软件优化并行的方式应对内存瓶颈。但材料未披露DDR4替代的具体规模、性能差异、适用范围及长期安排，因此不宜将其解读为对DDR5路线的全面改变。","implications":"可能影响：若相关做法在部分场景持续使用，人工智能服务器设计可能更重视存量内存再利用、接口兼容和内存效率；但材料不足以证明该方案已普遍部署，也不代表DDR4能够在所有新型人工智能服务器中替代DDR5。","nextStep":"后续观察：应关注谷歌是否公布回收DDR4的部署规模、专用转接卡适用的服务器和任务范围，以及DDR4与DDR5在性能、稳定性和成本上的对比；同时核实软件优化及KV缓存压缩带来的实际内存开销变化。","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":"2026-09-06T10:29:18.872Z","sourceHash":"cea4b6cf7c676ad2","review":{"approved":true,"groundedness":95,"clarity":92,"duplicationRisk":12,"blockingIssues":[],"notes":["“Aioga判断”与“可能影响”已明确区分观点和材料事实，未将推测表述为已证实结论。","“在部分场景替代原规划的DDR5”与来源材料一致。","可将“人工智能服务商面临内存资源紧缺”进一步限定为“据Wccftech报道”，以更清晰地区分转述来源。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","editorial-labels","inference-boundary","low-source-overlap","no-html","independent-ai-review"]}},"tags":["行业动态","IT之家（RSS）"],"translations":{"zh-CN":{"title":"谷歌拆解退役服务器回收 DDR4 内存，重新部署至新型 AI 服务器","summary":"据 Wccftech 报道，谷歌供应链基础设施高级总监尼基尔·切里安在峰会论坛上透露，AI 产业已由算力受限转变为内存受限，高性能内存约占单台 AI 服务器物料成本的 75%。谷歌为此拆解退役服务器回收 DDR4 内存模组，并设计专用转接卡，在部分场景用 DDR4 替代新型 AI 服务器原规划的 DDR5；同时谷歌还在优化底层函数库、模型架构及 KV 缓存压缩算法以降低内存开销。","category":"行业动态","source":"IT之家","aggregationSource":"IT之家（RSS）","pageTitle":"谷歌拆解退役服务器回收 DDR4 内存，重新部署至新型 AI 服务器 - Aioga AI资讯","description":"据 Wccftech 报道，谷歌供应链基础设施高级总监尼基尔·切里安在峰会论坛上透露，AI 产业已由算力受限转变为内存受限，高性能内存约占单台 AI 服务器物料成本的 75%。谷歌为此拆解退役服务器回收 DDR4 内存模组，并设计专用转接卡，在部分场景用 DDR4 替代新型 AI 服务器原规划的 DDR5；同时谷歌还在优化底层函数库、模型架构及 KV 缓存压...","url":"https://www.aioga.com/news/cmtk95chs02brrovgofwg4d1f/","articleBody":["谷歌拆解退役服务器回收 DDR4 内存，重新部署至新型 AI 服务器 这条更新来自 ithome.com，发布时间为 2026-09-02，Aioga 保留原文入口以便核验。","摘要：据 Wccftech 报道，谷歌供应链基础设施高级总监尼基尔·切里安在峰会论坛上透露，AI 产业已由算力受限转变为内存受限，高性能内存约占单台 AI 服务器物料成本的 75%。谷歌为此拆解退役服务器回收 DDR4 内存模组，并设计专用转接卡，在部分场景用 DDR4 替代新型 AI 服务器原规划的 DDR5；同时谷歌还在优化底层函数库、模型架构及 KV 缓存压缩算法以降低内存开销。","背景：背景分析：公司与行业类动态需要放在竞争格局、商业化路径、资本信号和监管环境中观察，单条公告不能代表最终结果。","Aioga 观察：Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","影响与后续：影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。 后续观察：继续观察官方文件、合作落地、收入或用户信号、竞品动作和监管后续。"]},"en":{"title":"Google Dismantles Decommissioned Servers to Reuse DDR4 Memory in New AI Servers","summary":"According to Wccftech, Google’s Senior Director of Supply Chain Infrastructure Nikil Cherian revealed at a summit forum that the AI industry has shifted from being compute-constrained to memory-constrained, with high-performance memory accounting for about 75% of the material cost of a single AI server. To address this, Google dismantles decommissioned servers to recover DDR4 memory modules and designs dedicated adapter cards to use DDR4 in some scenarios as a substitute for the originally planned DDR5 in new AI servers. Google is also optimizing underlying libraries, model architectures, and KV cache compression algorithms to reduce memory usage.","category":"Industry","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google Dismantles Decommissioned Servers to Reuse DDR4 Memory in New AI Servers - Aioga AI News","description":"According to Wccftech, Google’s Senior Director of Supply Chain Infrastructure Nikil Cherian revealed at a summit forum that the AI industry has shifted from being compute-constrai...","url":"https://www.aioga.com/en/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:42:49.692Z"},"ja":{"title":"GoogleはDDR4メモリをリサイクルするために引退したサーバーを解体し、新しいAIサーバーに再展開しました","summary":"Wccftechによると、Googleのサプライチェーンインフラ上級ディレクター、ニキル・チェリアン氏はサミットフォーラムで、AI業界が限られた計算能力から限られたメモリへと移行し、高性能メモリがAIサーバーあたりの材料コストの約75%を占めていると明かしました。 これに対処するため、Googleは引退したサーバーを解体してDDR4メモリモジュールをリサイクルし、専用のアダプターカードを設計しました。一部のシナリオではDDR4を用いて、当初計画されていたDDR5を新しいAIサーバーに置き換えました。 同時に、Googleは基盤となる関数ライブラリ、モデルアーキテクチャ、KVキャッシュ圧縮アルゴリズムを最適化し、メモリオーバーヘッドを削減しています。","category":"業界動向","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"GoogleはDDR4メモリをリサイクルするために引退したサーバーを解体し、新しいAIサーバーに再展開しました - Aioga AIニュース","description":"Wccftechによると、Googleのサプライチェーンインフラ上級ディレクター、ニキル・チェリアン氏はサミットフォーラムで、AI業界が限られた計算能力から限られたメモリへと移行し、高性能メモリがAIサーバーあたりの材料コストの約75%を占めていると明かしました。 これに対処するため、Googleは引退したサーバーを解体してDDR4メモリモジュールをリサイク...","url":"https://www.aioga.com/ja/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:42:51.387Z"},"ko":{"title":"구글, 은퇴 서버에서 DDR4 메모리 회수 후 신형 AI 서버에 재배치","summary":"Wccftech 보도에 따르면, 구글 공급망 인프라 수석 디렉터 니키르 체리안은 포럼에서 AI 산업이 이제 계산 능력 제한에서 메모리 제한으로 전환되었으며, 고성능 메모리가 단일 AI 서버 자재 비용의 약 75%를 차지한다고 밝혔습니다. 이에 구글은 은퇴 서버를 분해하여 DDR4 메모리 모듈을 회수하고 전용 어댑터 카드를 설계하여 일부 시나리오에서 DDR4로 신형 AI 서버의 DDR5를 대체했습니다. 동시에 구글은 메모리 사용량을 줄이기 위해 하위 함수 라이브러리, 모델 아키텍처 및 KV 캐시 압축 알고리즘 최적화도 진행 중입니다.","category":"업계 동향","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"구글, 은퇴 서버에서 DDR4 메모리 회수 후 신형 AI 서버에 재배치 - Aioga AI 뉴스","description":"Wccftech 보도에 따르면, 구글 공급망 인프라 수석 디렉터 니키르 체리안은 포럼에서 AI 산업이 이제 계산 능력 제한에서 메모리 제한으로 전환되었으며, 고성능 메모리가 단일 AI 서버 자재 비용의 약 75%를 차지한다고 밝혔습니다. 이에 구글은 은퇴 서버를 분해하여 DDR4 메모리 모듈을 회수하고 전용 어댑터 카드를...","url":"https://www.aioga.com/ko/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:42:58.538Z"},"es":{"title":"Google desmantela servidores retirados para reciclar memoria DDR4 y redeployarla en nuevos servidores de IA","summary":"Según Wccftech, Nikil Cherian, director senior de infraestructura de la cadena de suministro de Google, reveló en un foro de cumbre que la industria de IA ha pasado de estar limitada por capacidad de cálculo a estar limitada por memoria, y la memoria de alto rendimiento representa aproximadamente el 75% del costo de materiales de un solo servidor de IA. Para esto, Google desmantela servidores retirados para reciclar módulos de memoria DDR4, diseña tarjetas adaptadoras dedicadas y en algunos escenarios usa DDR4 en lugar del DDR5 planeado originalmente para los nuevos servidores de IA; al mismo tiempo, Google también está optimizando bibliotecas de funciones subyacentes, arquitecturas de modelos y algoritmos de compresión de caché KV para reducir el consumo de memoria.","category":"Industria","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google desmantela servidores retirados para reciclar memoria DDR4 y redeployarla en nuevos servidores de IA - Aioga Noticias de IA","description":"Según Wccftech, Nikil Cherian, director senior de infraestructura de la cadena de suministro de Google, reveló en un foro de cumbre que la industria de IA ha pasado de estar limita...","url":"https://www.aioga.com/es/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:42:58.898Z"},"fr":{"title":"Google démonte ses serveurs retirés pour récupérer la mémoire DDR4 et la réutiliser dans de nouveaux serveurs AI","summary":"Selon Wccftech, Nikhil Cherian, directeur senior de l'infrastructure de la chaîne d'approvisionnement chez Google, a révélé lors d'un forum que l'industrie de l'IA est passée d'une limitation de puissance de calcul à une limitation de mémoire, la mémoire haute performance représentant environ 75 % du coût matériel d'un seul serveur AI. Pour cela, Google démonte les serveurs retirés pour récupérer les modules DDR4 et conçoit des cartes d'adaptation dédiées, utilisant DDR4 à la place du DDR5 prévu pour certains nouveaux serveurs AI ; Google optimise également les bibliothèques de fonctions de base, l'architecture des modèles et les algorithmes de compression des caches KV pour réduire la consommation de mémoire.","category":"Industrie","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google démonte ses serveurs retirés pour récupérer la mémoire DDR4 et la réutiliser dans de nouveaux serveurs AI - Aioga Actualités IA","description":"Selon Wccftech, Nikhil Cherian, directeur senior de l'infrastructure de la chaîne d'approvisionnement chez Google, a révélé lors d'un forum que l'industrie de l'IA est passée d'une...","url":"https://www.aioga.com/fr/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:06.497Z"},"de":{"title":"Google zerlegt ausrangierte Server, um DDR4-Speicher zurückzugewinnen und in neue AI-Server umzusetzen","summary":"Laut Wccftech berichtete Nikhil Cherian, Senior Director der Google Supply Chain Infrastructure, auf einem Gipfelforum, dass die AI-Industrie von einer Rechenleistungsbegrenzung auf eine Speicherbegrenzung übergegangen ist, wobei Hochleistungsspeicher etwa 75% der Materialkosten eines einzelnen AI-Servers ausmachen. Google zerlegt daher ausrangierte Server, um DDR4-Speichermodule zurückzugewinnen, und entwirft spezielle Adapterkarten, um in bestimmten Szenarien DDR4 anstelle von ursprünglich für neue AI-Server geplanten DDR5 einzusetzen. Gleichzeitig optimiert Google weiterhin die darunterliegenden Funktionsbibliotheken, Modellarchitekturen und KV-Cache-Komprimierungsalgorithmen, um den Speicherbedarf zu reduzieren.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google zerlegt ausrangierte Server, um DDR4-Speicher zurückzugewinnen und in neue AI-Server umzusetzen - Aioga KI-News","description":"Laut Wccftech berichtete Nikhil Cherian, Senior Director der Google Supply Chain Infrastructure, auf einem Gipfelforum, dass die AI-Industrie von einer Rechenleistungsbegrenzung au...","url":"https://www.aioga.com/de/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:06.416Z"},"pt-BR":{"title":"Google desmonta servidores aposentados para reciclar memória DDR4, reutilizando em novos servidores de IA","summary":"Segundo reportagem da Wccftech, Nikil Cherian, diretor sênior de infraestrutura da cadeia de suprimentos do Google, revelou em um fórum que a indústria de IA mudou de limitação por poder de processamento para limitação por memória, sendo que a memória de alta performance representa cerca de 75% do custo de materiais de um servidor de IA. Para isso, o Google desmonta servidores aposentados para recuperar módulos de memória DDR4 e projeta placas adaptadoras dedicadas, usando DDR4 em alguns cenários no lugar do DDR5 originalmente planejado para novos servidores de IA; ao mesmo tempo, o Google também está otimizando bibliotecas de funções de baixo nível, arquitetura de modelos e algoritmo de compressão de cache KV para reduzir o consumo de memória.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google desmonta servidores aposentados para reciclar memória DDR4, reutilizando em novos servidores de IA - Aioga Notícias de IA","description":"Segundo reportagem da Wccftech, Nikil Cherian, diretor sênior de infraestrutura da cadeia de suprimentos do Google, revelou em um fórum que a indústria de IA mudou de limitação por...","url":"https://www.aioga.com/pt-BR/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:12.775Z"},"ru":{"title":"Google разобрала выведенные из эксплуатации серверы, чтобы переработать память DDR4 и переразвернуть её на новые серверы с ИИ","summary":"По данным Wccftech, Нихил Черриан, старший директор по инфраструктуре цепочек поставок в Google, на саммите раскрыл, что индустрия ИИ перешла от ограниченной вычислительной мощности к ограниченной памяти, при этом высокопроизводительная память составляет около 75% затрат на один сервер ИИ. Чтобы решить эту проблему, Google демонтировала выведенные из эксплуатации серверы для переработки модулей памяти DDR4 и разработала выделенные адаптерные карты, используя DDR4 в некоторых случаях для замены первоначально запланированного DDR5 для новых серверов с ИИ; В то же время Google оптимизирует свои базовые функциональные библиотеки, архитектуру модели и алгоритмы сжатия кэша KV, чтобы снизить нагрузку на память.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google разобрала выведенные из эксплуатации серверы, чтобы переработать память DDR4 и переразвернуть её на новые серверы с ИИ - Aioga Новости ИИ","description":"По данным Wccftech, Нихил Черриан, старший директор по инфраструктуре цепочек поставок в Google, на саммите раскрыл, что индустрия ИИ перешла от ограниченной вычислительной мощност...","url":"https://www.aioga.com/ru/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:15.435Z"},"ar":{"title":"قامت جوجل بتفكيك الخوادم المتقاعدة لإعادة تدوير ذاكرة DDR4 وإعادة نشرها في خوادم ذكاء اصطناعي جديدة","summary":"وفقا ل Wccftech، كشف نيكيل شيريان، المدير الأول لبنية تحتية سلسلة التوريد في جوجل، في منتدى القمة أن صناعة الذكاء الاصطناعي تحولت من قوة حوسبة محدودة إلى ذاكرة محدودة، حيث تمثل الذاكرة عالية الأداء حوالي 75٪ من تكلفة المواد لكل خادم ذكاء اصطناعي. ولمعالجة ذلك، قامت جوجل بتفكيك الخوادم المتقاعدة لإعادة تدوير وحدات ذاكرة DDR4 وصممت بطاقات محولات مخصصة، مستخدمة DDR4 في بعض السيناريوهات لاستبدال DDR5 المخطط له أصلا لخوادم الذكاء الاصطناعي الجديدة؛ في الوقت نفسه، تقوم جوجل بتحسين مكتبات الوظائف الأساسية، وبنية النماذج، وخوارزميات ضغط ذاكرة التخزين المؤقت KV لتقليل عبء الذاكرة.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"قامت جوجل بتفكيك الخوادم المتقاعدة لإعادة تدوير ذاكرة DDR4 وإعادة نشرها في خوادم ذكاء اصطناعي جديدة - Aioga أخبار الذكاء الاصطناعي","description":"وفقا ل Wccftech، كشف نيكيل شيريان، المدير الأول لبنية تحتية سلسلة التوريد في جوجل، في منتدى القمة أن صناعة الذكاء الاصطناعي تحولت من قوة حوسبة محدودة إلى ذاكرة محدودة، حيث تمثل الذ...","url":"https://www.aioga.com/ar/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:24.486Z"},"hi":{"title":"Google ने DDR4 मेमोरी को रीसायकल करने और इसे नए AI सर्वर पर फिर से तैनात करने के लिए सेवानिवृत्त सर्वरों को नष्ट कर दिया","summary":"Wccftech के अनुसार, Google में सप्लाई चेन इंफ्रास्ट्रक्चर के वरिष्ठ निदेशक निखिल चेरियन ने शिखर सम्मेलन में खुलासा किया कि AI उद्योग सीमित कंप्यूटिंग शक्ति से सीमित मेमोरी में स्थानांतरित हो गया है, जिसमें उच्च-प्रदर्शन मेमोरी प्रति AI सर्वर सामग्री लागत का लगभग 75% है। इसे संबोधित करने के लिए, Google ने DDR4 मेमोरी मॉड्यूल को रीसायकल करने के लिए सेवानिवृत्त सर्वरों को नष्ट कर दिया और नए AI सर्वरों के लिए मूल नियोजित DDR4 को बदलने के लिए कुछ परिदृश्यों में DDR5 का उपयोग करके समर्पित एडेप्टर कार्ड डिज़ाइन किए; साथ ही, Google मेमोरी ओवरहेड को कम करने के लिए अपने अंतर्निहित फ़ंक्शन लाइब्रेरी, मॉडल आर्किटेक्चर और KV कैश कम्प्रेशन एल्गोरिदम को ऑप्टिमाइज़ कर रहा है।","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google ने DDR4 मेमोरी को रीसायकल करने और इसे नए AI सर्वर पर फिर से तैनात करने के लिए सेवानिवृत्त सर्वरों को नष्ट कर दिया - Aioga AI समाचार","description":"Wccftech के अनुसार, Google में सप्लाई चेन इंफ्रास्ट्रक्चर के वरिष्ठ निदेशक निखिल चेरियन ने शिखर सम्मेलन में खुलासा किया कि AI उद्योग सीमित कंप्यूटिंग शक्ति से सीमित मेमोरी में स्था...","url":"https://www.aioga.com/hi/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:24.327Z"},"it":{"title":"Google ha smantellato i server ritirati per riciclare la memoria DDR4 e ridistribuirla su nuovi server AI","summary":"Secondo Wccftech, Nikhil Cherrian, Senior Director of Supply Chain Infrastructure di Google, ha rivelato durante il summit forum che l'industria dell'IA è passata da una potenza di calcolo limitata a una memoria limitata, con la memoria ad alte prestazioni che rappresenta circa il 75% del costo materiale per server AI. Per risolvere questo problema, Google smontò server ritirati per riciclare moduli di memoria DDR4 e progettò schede adattabili dedicate, utilizzando in alcuni scenari DDR4 per sostituire il DDR5 originariamente previsto per i nuovi server di IA; Allo stesso tempo, Google sta ottimizzando le sue librerie di funzioni sottostanti, l'architettura dei modelli e gli algoritmi di compressione della cache KV per ridurre il sovraccarico di memoria.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google ha smantellato i server ritirati per riciclare la memoria DDR4 e ridistribuirla su nuovi server AI - Aioga Notizie IA","description":"Secondo Wccftech, Nikhil Cherrian, Senior Director of Supply Chain Infrastructure di Google, ha rivelato durante il summit forum che l'industria dell'IA è passata da una potenza di...","url":"https://www.aioga.com/it/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:33.571Z"},"nl":{"title":"Google heeft gestopte servers gedemonteerd om DDR4-geheugen te recyclen en opnieuw uit te rollen op nieuwe AI-servers","summary":"Volgens Wccftech onthulde Nikhil Cherrian, Senior Director of Supply Chain Infrastructure bij Google, tijdens het summitforum dat de AI-industrie is verschoven van beperkte rekenkracht naar beperkt geheugen, waarbij high-performance geheugen ongeveer 75% van de materiaalkosten per AI-server uitmaakt. Om dit aan te pakken, demonteerde Google gepensioneerde servers om DDR4-geheugenmodules te recyclen en ontwierp het speciale adapterkaarten, waarbij DDR4 in sommige scenario's werd gebruikt ter vervanging van de oorspronkelijk geplande DDR5 voor nieuwe AI-servers; Tegelijkertijd optimaliseert Google zijn onderliggende functiebibliotheken, modelarchitectuur en KV-cachecompressie-algoritmen om geheugenoverhead te verminderen.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google heeft gestopte servers gedemonteerd om DDR4-geheugen te recyclen en opnieuw uit te rollen op nieuwe AI-servers - Aioga AI-nieuws","description":"Volgens Wccftech onthulde Nikhil Cherrian, Senior Director of Supply Chain Infrastructure bij Google, tijdens het summitforum dat de AI-industrie is verschoven van beperkte rekenkr...","url":"https://www.aioga.com/nl/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:33.524Z"},"tr":{"title":"Google, emekli edilmiş sunucuları söküp DDR4 belleğini geri dönüştürdü ve yeni yapay zeka sunucularına dağıttı","summary":"Wccftech'e göre, Google'ın Tedarik Zinciri Altyapısı Kıdemli Direktörü Nikhil Cherrian, zirve forumunda yapay zeka endüstrisinin sınırlı hesaplama gücünden sınırlı belleğe geçtiğini ve yüksek performanslı belleğin bir yapay zeka sunucusu başına malzeme maliyetinin yaklaşık %75'ini oluşturduğunu açıkladı. Bunu çözmek için Google, emekli edilmiş sunucuları söküp DDR4 bellek modüllerini geri dönüştürdü ve özel adaptör kartları tasarladı; bazı senaryolarda yeni yapay zeka sunucuları için orijinal planlanan DDR5'in yerine DDR4 kullanıldı; Aynı zamanda, Google temel fonksiyon kütüphanelerini, model mimarisini ve KV önbellek sıkıştırma algoritmalarını bellek yükünü azaltmak için optimize ediyor.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google, emekli edilmiş sunucuları söküp DDR4 belleğini geri dönüştürdü ve yeni yapay zeka sunucularına dağıttı - Aioga AI Haberleri","description":"Wccftech'e göre, Google'ın Tedarik Zinciri Altyapısı Kıdemli Direktörü Nikhil Cherrian, zirve forumunda yapay zeka endüstrisinin sınırlı hesaplama gücünden sınırlı belleğe geçtiğin...","url":"https://www.aioga.com/tr/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:42.545Z"},"vi":{"title":"Google đã tháo dỡ các máy chủ đã nghỉ hưu để tái chế bộ nhớ DDR4 và triển khai lại cho các máy chủ AI mới","summary":"Theo Wccftech, Nikhil Cherrian, Giám đốc Cấp cao Hạ tầng Chuỗi Cung ứng tại Google, tiết lộ tại diễn đàn hội nghị rằng ngành công nghiệp AI đã chuyển từ sức mạnh tính toán hạn chế sang bộ nhớ hạn chế, với bộ nhớ hiệu năng cao chiếm khoảng 75% chi phí vật liệu cho mỗi máy chủ AI. Để giải quyết vấn đề này, Google đã tháo dỡ các máy chủ đã nghỉ hưu để tái chế các mô-đun bộ nhớ DDR4 và thiết kế các card chuyển đổi chuyên dụng, sử dụng DDR4 trong một số trường hợp để thay thế DDR5 dự kiến ban đầu cho các máy chủ AI mới; Đồng thời, Google đang tối ưu hóa các thư viện hàm nền tảng, kiến trúc mô hình và các thuật toán nén bộ nhớ đệm KV để giảm chi phí bộ nhớ.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google đã tháo dỡ các máy chủ đã nghỉ hưu để tái chế bộ nhớ DDR4 và triển khai lại cho các máy chủ AI mới - Tin tức AI Aioga","description":"Theo Wccftech, Nikhil Cherrian, Giám đốc Cấp cao Hạ tầng Chuỗi Cung ứng tại Google, tiết lộ tại diễn đàn hội nghị rằng ngành công nghiệp AI đã chuyển từ sức mạnh tính toán hạn chế...","url":"https://www.aioga.com/vi/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:42.616Z"},"id":{"title":"Google membongkar server yang sudah pensiun untuk mendaur ulang memori DDR4 dan mendistribusikannya kembali ke server AI baru","summary":"Menurut Wccftech, Nikhil Cherrian, Senior Director Supply Chain Infrastructure di Google, mengungkapkan di forum puncak bahwa industri AI telah beralih dari daya komputasi terbatas menjadi memori terbatas, dengan memori berkinerja tinggi menyumbang sekitar 75% dari biaya material per server AI. Untuk mengatasi hal ini, Google membongkar server yang sudah pensiun untuk mendaur ulang modul memori DDR4 dan merancang kartu adaptor khusus, menggunakan DDR4 dalam beberapa skenario untuk menggantikan DDR5 yang direncanakan awal untuk server AI baru; Pada saat yang sama, Google mengoptimalkan pustaka fungsi dasarnya, arsitektur model, dan algoritma kompresi cache KV untuk mengurangi beban memori.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google membongkar server yang sudah pensiun untuk mendaur ulang memori DDR4 dan mendistribusikannya kembali ke server AI baru - Berita AI Aioga","description":"Menurut Wccftech, Nikhil Cherrian, Senior Director Supply Chain Infrastructure di Google, mengungkapkan di forum puncak bahwa industri AI telah beralih dari daya komputasi terbatas...","url":"https://www.aioga.com/id/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:51.444Z"},"th":{"title":"Google ได้รื้อถอนเซิร์ฟเวอร์ที่ปลดระวางเพื่อรีไซเคิลหน่วยความจํา DDR4 และนําไปปรับใช้ใหม่กับเซิร์ฟเวอร์ AI ใหม่","summary":"ตามรายงานของ Wccftech นิคิล เชอร์เรียน ผู้อํานวยการอาวุโสฝ่ายโครงสร้างพื้นฐานซัพพลายเชนของกูเกิล เปิดเผยในงานประชุมว่าอุตสาหกรรม AI ได้เปลี่ยนจากพลังการประมวลผลที่จํากัดไปสู่หน่วยความจําที่จํากัด โดยหน่วยความจําประสิทธิภาพสูงคิดเป็นประมาณ 75% ของต้นทุนวัสดุต่อเซิร์ฟเวอร์ AI เพื่อแก้ไขปัญหานี้ Google ได้รื้อถอนเซิร์ฟเวอร์ที่ปลดระวางเพื่อรีไซเคิลโมดูลหน่วยความจํา DDR4 และออกแบบการ์ดอะแดปเตอร์เฉพาะทาง โดยใช้ DDR4 ในบางกรณีเพื่อแทนที่ DDR5 เดิมที่วางแผนไว้สําหรับเซิร์ฟเวอร์ AI ใหม่; ในขณะเดียวกัน Google กําลังปรับปรุงไลบรารีฟังก์ชันพื้นฐาน สถาปัตยกรรมโมเดล และอัลกอริทึมบีบอัดแคช KV เพื่อลดภาระหน่วยความจํา","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google ได้รื้อถอนเซิร์ฟเวอร์ที่ปลดระวางเพื่อรีไซเคิลหน่วยความจํา DDR4 และนําไปปรับใช้ใหม่กับเซิร์ฟเวอร์ AI ใหม่ - ข่าว AI Aioga","description":"ตามรายงานของ Wccftech นิคิล เชอร์เรียน ผู้อํานวยการอาวุโสฝ่ายโครงสร้างพื้นฐานซัพพลายเชนของกูเกิล เปิดเผยในงานประชุมว่าอุตสาหกรรม AI ได้เปลี่ยนจากพลังการประมวลผลที่จํากัดไปสู่หน่วยค...","url":"https://www.aioga.com/th/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:51.437Z"},"pl":{"title":"Google zdemontowało wycofane serwery, aby recyklingować pamięć DDR4 i ponownie ją wdrożyć na nowych serwerach AI","summary":"Według Wccftech, Nikhil Cherrian, starszy dyrektor ds. infrastruktury łańcucha dostaw w Google, ujawnił podczas szczytu, że branża AI przeszła z ograniczonej mocy obliczeniowej na ograniczoną pamięć, przy czym pamięć o wysokiej wydajności stanowi około 75% kosztów materiałowych na serwer AI. Aby temu zaradzić, Google rozmontowało wycofane serwery, aby recyklingować moduły pamięci DDR4, i zaprojektowało dedykowane karty adapterowe, wykorzystując DDR4 w niektórych scenariuszach jako zastępstwo pierwotnie planowanego DDR5 dla nowych serwerów AI; Jednocześnie Google optymalizuje swoje podstawowe biblioteki funkcji, architekturę modeli oraz algorytmy kompresji pamięci podręcznej KV, aby zmniejszyć narzut pamięci.","category":"行业动态","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Google zdemontowało wycofane serwery, aby recyklingować pamięć DDR4 i ponownie ją wdrożyć na nowych serwerach AI - Aioga Wiadomości AI","description":"Według Wccftech, Nikhil Cherrian, starszy dyrektor ds. infrastruktury łańcucha dostaw w Google, ujawnił podczas szczytu, że branża AI przeszła z ograniczonej mocy obliczeniowej na...","url":"https://www.aioga.com/pl/news/cmtk95chs02brrovgofwg4d1f/","contentTranslated":true,"sourceHash":"2051d3bbb65281e1","translatedAt":"2026-09-02T15:43:59.646Z"}},"evidenceTier":"verified-news","reviewStatus":"automated-ingest","indexable":true,"editorialCover":"/page-visuals/topic-timeline.png"}}