{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T06:20:51.496Z","headline":"华为：运力成AI算力最大瓶颈，不应执着单芯片制程","description":"华为中国政企互联网行业总经理黄健指出，运力已成AI算力最大瓶颈，与其执着单芯片制程，不如通过网算存协同一体化提升效率。过去半年Token消耗量增长6倍，模型调用次数增加约50至100倍。华为已将NPO带宽提升八倍以上，Token产生效率提升五倍。","url":"https://www.aioga.com/news/cmryrefmb048urolgk4be0blf/","mainEntityOfPage":"https://www.aioga.com/news/cmryrefmb048urolgk4be0blf/","datePublished":"2026-07-24T09:28:19.000Z","dateModified":"2026-07-24T09:28:19.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.ithome.com/0/981/320.htm","https://aihot.virxact.com/items/cmryrefmb048urolgk4be0blf"],"canonicalUrl":"https://www.aioga.com/news/cmryrefmb048urolgk4be0blf/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：华为中国政企互联网行业总经理黄健指出，运力已成AI算力最大瓶颈，与其执着单芯片制程，不如通过网算存协同一体化提升效率。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmryrefmb048urolgk4be0blf/","dateCreated":"2026-07-24T09:28:19.000Z","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":"IT之家 source article","url":"https://www.ithome.com/0/981/320.htm","datePublished":"2026-07-24T09:28:19.000Z","provider":{"@type":"Organization","name":"IT之家","url":"https://www.ithome.com/0/981/320.htm"}},{"@type":"CreativeWork","name":"AIHot archive 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日下午消息，近日，华为中国政企互联网系统部举办互联网行业媒体沟通会，系统阐述了互联网 AI 算力产业痛点、算存网一体化底座技术方案、昇腾开源生态建设、分层算力落地路径及长期产业生态布局。","当前，AI 大模型正式从技术验证阶段迈入规模化商用新阶段，AI Agent 已然成为互联网业务核心增长引擎。但行业智能化升级仍深陷多重困境，底层算力支撑不足、跨场景适配成本高昂、技术开发门槛偏高等难题，持续制约产业智能化转型速度与落地效率。","在与新浪科技等媒体沟通中，华为中国政企互联网行业总经理黄健坦言，相较于电器时代循序渐进、适配性较强的产业迭代节奏，当下 AI 领域 Token 用量的爆发式增长，已经远超社会与行业的适配速度，催生了各行业普遍的 AI 转型焦虑。“ 预计 2027 年至 2030 年间，token 经济将全面影响所有作业行为及工作框架 ，短短三年内消化如此巨大的转变，给整个行业带来了巨大压力与挑战。”黄健直言。","他援引机构数据表示：过去半年内， token 消耗量增长了 6 倍 ，模型调用次数增加了约 50 至 100 倍。这一增长趋势必将拉动算力服务、数据存储、网络服务等上下游配套需求的上升。","在黄健看来，“在算力、存力和运力三者中， 运力是目前最突出的瓶颈 ，与其执着于单芯片制程，不如通过网算存协同一体化将‘高速公路修得更宽’。”据他介绍，“华为已将 NPO 带宽提升八倍以上，Token 产生效率提升五倍。”他进一步介绍道，大模型训练和推理对通信时延与集群互联要求急剧上升，华为依托星河 AI 数据中心网络和昇腾超节点，从硬件、软件、调度、生态四层协同，大幅降低了分布式通信损耗，并通过弹性调度适配业务波峰波谷和多并发场景。","回到互联网行业，针对这一行业高并发、高稳定的特殊需求，黄健介绍了华为搭建的三层专属服务体系，覆盖不同规模企业全生命周期交付运维。针对头部互联网大厂，搭建专属服务团队，配备百余人研发与行业复合型工程师，提供贴身管家式服务；面向中小互联网企业，联合生态伙伴提供标准化服务，涵盖前期算力架构规划、网络优化部署，日常 7×24 小时远程和现场运维，同时持续提供开源框架适配、版本迭代配套等服务。","据悉，面向互联网与云厂商的等高要求客户群体，华为不仅可提供昇腾超节点技术、灵渠、高可靠等产品，更投入几千人在主流开源软件适配，进行联合创新，支撑好模型进而支撑好业务使用；同时与业界主流开源社区协同，参与开源社区的贡献、治理、路标规划等，并将优质特性上传社区，为开发者提供高效、高品质的算力底座与易用开发工具，大幅降低大模型训推、迁移落地门槛，通过这些努力，华为有信心支撑互联网或大模型厂商的发展。"],"articleImages":[{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/18524342-86d2-4280-966d-72f1a4029817.jpg","alt":"","afterParagraph":0,"url":"/media/articles/cmryrefmb048urolgk4be0blf/16fab7fbc3f8a98a.jpg"}],"mediaStatus":"ok","articleBodyZh":[],"translationStatus":"","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：华为中国政企互联网行业总经理黄健指出，运力已成AI算力最大瓶颈，与其执着单芯片制程，不如通过网算存协同一体化提升效率。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：实践类内容的价值在于是否能被复现、是否有明确边界，以及它能否转化为稳定的开发或工作流方法。","viewpoint":"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。","implications":"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。","nextStep":"后续观察：继续观察示例是否可复现、工具版本变化、社区反馈和实际成本。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-28T06:29:10.550Z","sourceHash":"599a5b0b0765965b","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["技巧观点","IT之家（RSS）"],"translations":{"zh-CN":{"title":"华为：运力成AI算力最大瓶颈，不应执着单芯片制程","summary":"华为中国政企互联网行业总经理黄健指出，运力已成AI算力最大瓶颈，与其执着单芯片制程，不如通过网算存协同一体化提升效率。过去半年Token消耗量增长6倍，模型调用次数增加约50至100倍。华为已将NPO带宽提升八倍以上，Token产生效率提升五倍。","category":"技巧观点","source":"IT之家","aggregationSource":"IT之家（RSS）","pageTitle":"华为：运力成AI算力最大瓶颈，不应执着单芯片制程 - Aioga AI资讯","description":"华为中国政企互联网行业总经理黄健指出，运力已成AI算力最大瓶颈，与其执着单芯片制程，不如通过网算存协同一体化提升效率。过去半年Token消耗量增长6倍，模型调用次数增加约50至100倍。华为已将NPO带宽提升八倍以上，Token产生效率提升五倍。","url":"https://www.aioga.com/news/cmryrefmb048urolgk4be0blf/"},"en":{"title":"Huawei: Computing power is the biggest bottleneck for AI, we should not be obsessed with single-chip processes","summary":"Huang Jian, General Manager of Huawei's China Government and Enterprise Internet Industry, pointed out that computing capacity has become the biggest bottleneck for AI computing power. Rather than focusing solely on single-chip processes, it is better to improve efficiency through integrated collaboration of network, computing, and storage. Over the past six months, the consumption of tokens has increased sixfold, and the number of model calls has increased by about 50 to 100 times. Huawei has increased NPO bandwidth by more than eight times, and token generation efficiency has increased fivefold.","category":"Insights","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: Computing power is the biggest bottleneck for AI, we should not be obsessed with single-chip processes - Aioga AI News","description":"Huang Jian, General Manager of Huawei's China Government and Enterprise Internet Industry, pointed out that computing capacity has become the biggest bottleneck for AI computing po...","url":"https://www.aioga.com/en/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:43:14.198Z"},"ja":{"title":"ファーウェイ：運力がAI演算能力の最大のボトルネックであり、単一チップの製造プロセスに固執すべきではない","summary":"華為の中国政企インターネット業界総経理、黄健は指摘した。運力はすでにAI算力の最大のボトルネックとなっており、単一チップの製造プロセスに固執するよりも、ネットワーク計算・ストレージ・協同の統合によって効率を向上させる方が良い。過去半年間でToken消費量は6倍に増加し、モデル呼び出し回数は約50～100倍増加した。華為はすでにNPO帯域幅を8倍以上に引き上げ、Token生成効率を5倍に向上させている。","category":"ヒントと視点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"ファーウェイ：運力がAI演算能力の最大のボトルネックであり、単一チップの製造プロセスに固執すべきではない - Aioga AIニュース","description":"華為の中国政企インターネット業界総経理、黄健は指摘した。運力はすでにAI算力の最大のボトルネックとなっており、単一チップの製造プロセスに固執するよりも、ネットワーク計算・ストレージ・協同の統合によって効率を向上させる方が良い。過去半年間でToken消費量は6倍に増加し、モデル呼び出し回数は約50～100倍増加した。華為はすでにNPO帯域幅を8倍以上に引き上げ...","url":"https://www.aioga.com/ja/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:43:21.295Z"},"ko":{"title":"화웨이: 운력(運力)이 AI 연산 능력의 가장 큰 병목이며, 단일 칩 제조 공정에 집착해서는 안 된다","summary":"화웨이 중국 정부 및 기업 인터넷 산업 총괄 매니저 황젠은 운송 능력이 이미 AI 연산력의 최대 병목이 되었으며, 단일 칩 제조 공정에 집착하기보다는 네트워크-계산-저장 협동 일체화를 통해 효율을 높이는 것이 낫다고 지적했다. 지난 반년 동안 토큰 소비량은 6배 증가했고, 모델 호출 횟수는 약 50~100배 증가했다. 화웨이는 이미 NPO 대역폭을 8배 이상 향상시켰고, 토큰 생성 효율은 5배 향상시켰다.","category":"인사이트","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"화웨이: 운력(運力)이 AI 연산 능력의 가장 큰 병목이며, 단일 칩 제조 공정에 집착해서는 안 된다 - Aioga AI 뉴스","description":"화웨이 중국 정부 및 기업 인터넷 산업 총괄 매니저 황젠은 운송 능력이 이미 AI 연산력의 최대 병목이 되었으며, 단일 칩 제조 공정에 집착하기보다는 네트워크-계산-저장 협동 일체화를 통해 효율을 높이는 것이 낫다고 지적했다. 지난 반년 동안 토큰 소비량은 6배 증가했고, 모델 호출 횟수는 약 50~100배 증가했다. 화...","url":"https://www.aioga.com/ko/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:44:05.779Z"},"es":{"title":"Huawei: La capacidad de transporte se convierte en el mayor cuello de botella de la computación de IA, no se debe insistir en el proceso de un solo chip","summary":"Huang Jian, gerente general de la industria de Internet para empresas y gobierno en Huawei China, señaló que la capacidad de operación se ha convertido en el mayor cuello de botella del poder de cómputo de la IA, y que en lugar de obsesionarse con la fabricación de un solo chip, es mejor mejorar la eficiencia a través de la integración de redes, computación y almacenamiento. En los últimos seis meses, el consumo de tokens ha crecido seis veces, y el número de llamadas al modelo ha aumentado aproximadamente entre 50 y 100 veces. Huawei ya ha incrementado el ancho de banda de NPO en más de ocho veces, y la eficiencia en la generación de tokens ha aumentado cinco veces.","category":"Ideas","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: La capacidad de transporte se convierte en el mayor cuello de botella de la computación de IA, no se debe insistir en el proceso de un solo chip - Aioga Noticias de IA","description":"Huang Jian, gerente general de la industria de Internet para empresas y gobierno en Huawei China, señaló que la capacidad de operación se ha convertido en el mayor cuello de botell...","url":"https://www.aioga.com/es/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:44:08.951Z"},"fr":{"title":"Huawei : La capacité de transport devient le plus grand goulot d'étranglement de la puissance de calcul de l'IA, il ne faut pas s'attacher uniquement au processus unique des puces","summary":"Huang Jian, directeur général de l'industrie Internet gouvernementale et entreprise de Huawei en Chine, a souligné que la capacité de transport est devenue le principal goulot d'étranglement de la puissance de calcul de l'IA. Plutôt que de s'obstiner sur le procédé d'un seul puce, il vaut mieux améliorer l'efficacité grâce à l'intégration de réseau, calcul et stockage. Au cours des six derniers mois, la consommation de jetons a été multipliée par six et le nombre d'appels de modèles a augmenté d'environ 50 à 100 fois. Huawei a déjà augmenté la bande passante NPO de plus de huit fois et l'efficacité de production de jetons de cinq fois.","category":"Analyses","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei : La capacité de transport devient le plus grand goulot d'étranglement de la puissance de calcul de l'IA, il ne faut pas s'attacher uniquement au processus unique des puces - Aioga Actualités IA","description":"Huang Jian, directeur général de l'industrie Internet gouvernementale et entreprise de Huawei en Chine, a souligné que la capacité de transport est devenue le principal goulot d'ét...","url":"https://www.aioga.com/fr/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:44:51.543Z"},"de":{"title":"Huawei: Die Rechenleistung wird durch die Transportkapazität zum größten Engpass der KI-Berechnung, man sollte nicht an einem einzelnen Chip-Fertigungsprozess festhalten","summary":"Huang Jian, General Manager of Huawei's China Government and Enterprise Internet Industry, pointed out that computing power has become the biggest bottleneck for AI computing power. Rather than focusing solely on single-chip processes, it is better to improve efficiency through the integrated collaboration of network, computing, and storage. In the past six months, token consumption has increased sixfold, and model invocation has increased by about 50 to 100 times. Huawei has increased NPO bandwidth by more than eight times, and token generation efficiency has improved fivefold.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: Die Rechenleistung wird durch die Transportkapazität zum größten Engpass der KI-Berechnung, man sollte nicht an einem einzelnen Chip-Fertigungsprozess festhalten - Aioga KI-News","description":"Huang Jian, General Manager of Huawei's China Government and Enterprise Internet Industry, pointed out that computing power has become the biggest bottleneck for AI computing power...","url":"https://www.aioga.com/de/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:44:52.403Z"},"pt-BR":{"title":"Huawei: A capacidade de transporte se torna o maior gargalo de poder de computação de IA, não se deve insistir na fabricação de chip único","summary":"Huang Jian, gerente geral da indústria de internet corporativa do governo da Huawei na China, apontou que a capacidade de transporte se tornou o maior gargalo da capacidade computacional de IA. Em vez de se apegar ao processo de fabricação de um único chip, é melhor melhorar a eficiência por meio da integração da computação, rede e armazenamento. Nos últimos seis meses, o consumo de tokens cresceu 6 vezes, e o número de chamadas de modelos aumentou cerca de 50 a 100 vezes. A Huawei já aumentou a largura de banda do NPO em mais de oito vezes e a eficiência de geração de tokens cinco vezes.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: A capacidade de transporte se torna o maior gargalo de poder de computação de IA, não se deve insistir na fabricação de chip único - Aioga Notícias de IA","description":"Huang Jian, gerente geral da indústria de internet corporativa do governo da Huawei na China, apontou que a capacidade de transporte se tornou o maior gargalo da capacidade computa...","url":"https://www.aioga.com/pt-BR/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:45:31.774Z"},"ru":{"title":"Huawei: Пропускная способность стала самым большим ограничением вычислительной мощности ИИ, не следует зацикливаться на одном процессе производства чипов","summary":"Генеральный директор Huawei по интернет-индустрии государственных и корпоративных клиентов в Китае Хуан Цзянь отметил, что пропускная способность стала самым большим узким местом вычислительных мощностей AI; вместо того чтобы упорно сосредотачиваться на технологии одного чипа, лучше повысить эффективность через интеграцию сетевых вычислений, хранения и их совместной работы. За последние полгода потребление токенов увеличилось в 6 раз, количество вызовов моделей возросло примерно в 50–100 раз. Huawei уже увеличила пропускную способность NPO более чем в восемь раз, эффективность генерации токенов возросла в пять раз.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: Пропускная способность стала самым большим ограничением вычислительной мощности ИИ, не следует зацикливаться на одном процессе производства чипов - Aioga Новости ИИ","description":"Генеральный директор Huawei по интернет-индустрии государственных и корпоративных клиентов в Китае Хуан Цзянь отметил, что пропускная способность стала самым большим узким местом в...","url":"https://www.aioga.com/ru/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:45:40.532Z"},"ar":{"title":"هواوي: القدرة على النقل أصبحت أكبر عقبة أمام حوسبة الذكاء الاصطناعي، ولا ينبغي التمسك بعملية تصنيع شريحة واحدة","summary":"أشار هوانغ جيان، المدير العام لصناعة الإنترنت الحكومية والمؤسسية لشركة هواوي في الصين، إلى أن القدرة التشغيلية أصبحت أكبر عقبة أمام قدرة الحوسبة الخاصة بالذكاء الاصطناعي، وبدلاً من الإصرار على عملية تصنيع شريحة واحدة، من الأفضل تحسين الكفاءة من خلال التكامل والتنسيق بين الحوسبة عبر الشبكة والتخزين. في الستة أشهر الماضية، زاد استهلاك الرموز بـ 6 أضعاف، وتكرار استدعاء النماذج ارتفع بما يقارب 50 إلى 100 ضعف. قامت هواوي بزيادة نطاق تردد NPO بأكثر من ثمانية أضعاف، وكفاءة إنتاج الرموز ارتفعت خمسة أضعاف.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"هواوي: القدرة على النقل أصبحت أكبر عقبة أمام حوسبة الذكاء الاصطناعي، ولا ينبغي التمسك بعملية تصنيع شريحة واحدة - Aioga أخبار الذكاء الاصطناعي","description":"أشار هوانغ جيان، المدير العام لصناعة الإنترنت الحكومية والمؤسسية لشركة هواوي في الصين، إلى أن القدرة التشغيلية أصبحت أكبر عقبة أمام قدرة الحوسبة الخاصة بالذكاء الاصطناعي، وبدلاً من...","url":"https://www.aioga.com/ar/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:46:24.826Z"},"hi":{"title":"हुवावेई: क्षमता AI कंप्यूटिंग का सबसे बड़ा बाधक बन गई है, केवल एक चिप प्रोसेस पर अड़ जाना नहीं चाहिए","summary":"हुवावे के चीन सरकारी और उद्यम इंटरनेट उद्योग के जनरल मैनेजर हुआंग जियां ने指出 किया कि परिवहन क्षमता AI गणना शक्ति की सबसे बड़ी बाधा बन गई है, और केवल एक चिप प्रक्रिया पर जोर देने के बजाय, नेटवर्क, गणना और भंडारण के समन्वित एकीकरण के माध्यम से दक्षता बढ़ाना बेहतर है। पिछले छः महीनों में टोकन की खपत 6 गुना बढ़ी है, और मॉडल कॉल की संख्या लगभग 50 से 100 गुना बढ़ी है। हुवावे ने पहले ही NPO बैंडविड्थ को आठ गुना से अधिक बढ़ा दिया है, और टोकन उत्पादन दक्षता को पांच गुना बढ़ा दिया है।","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"हुवावेई: क्षमता AI कंप्यूटिंग का सबसे बड़ा बाधक बन गई है, केवल एक चिप प्रोसेस पर अड़ जाना नहीं चाहिए - Aioga AI समाचार","description":"हुवावे के चीन सरकारी और उद्यम इंटरनेट उद्योग के जनरल मैनेजर हुआंग जियां ने指出 किया कि परिवहन क्षमता AI गणना शक्ति की सबसे बड़ी बाधा बन गई है, और केवल एक चिप प्रक्रिया पर जोर देने के...","url":"https://www.aioga.com/hi/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:46:27.617Z"},"it":{"title":"Huawei: La capacità di trasporto è il più grande collo di bottiglia per la potenza di calcolo AI, non bisognerebbe essere ossessionati dal processo di singolo chip","summary":"Huang Jian, direttore generale del settore Internet per il settore pubblico e aziendale di Huawei in Cina, ha sottolineato che la capacità di calcolo è diventata il collo di bottiglia principale della potenza di calcolo AI; invece di insistere sul processo di un singolo chip, è meglio migliorare l'efficienza attraverso l'integrazione e la collaborazione di rete, calcolo e memoria. Negli ultimi sei mesi, il consumo di token è aumentato di 6 volte, e il numero di chiamate ai modelli è aumentato di circa 50-100 volte. Huawei ha già aumentato la larghezza di banda NPO di oltre otto volte e l'efficienza di generazione dei token di cinque volte.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: La capacità di trasporto è il più grande collo di bottiglia per la potenza di calcolo AI, non bisognerebbe essere ossessionati dal processo di singolo chip - Aioga Notizie IA","description":"Huang Jian, direttore generale del settore Internet per il settore pubblico e aziendale di Huawei in Cina, ha sottolineato che la capacità di calcolo è diventata il collo di bottig...","url":"https://www.aioga.com/it/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:47:11.566Z"},"nl":{"title":"Huawei: capaciteit wordt de grootste bottleneck voor AI-rekenkracht, men zou zich niet te veel moeten vastklampen aan één chipfabricageproces","summary":"Huang Jian, algemeen directeur van Huawei voor de Chinese overheid en ondernemingen in de internetsector, wees erop dat de rekenkracht het grootste knelpunt voor AI-rekenkracht is geworden. In plaats van vast te houden aan een enkel chipproductieproces, is het beter om de efficiëntie te verbeteren door netwerk-, reken- en opslagcoördinatie te integreren. In de afgelopen zes maanden is het Token-verbruik zes keer toegenomen, en het aantal modelaanroepen is met ongeveer 50 tot 100 keer gestegen. Huawei heeft de NPO-bandbreedte meer dan acht keer vergroot en de Token-productie-efficiëntie vijf keer verbeterd.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: capaciteit wordt de grootste bottleneck voor AI-rekenkracht, men zou zich niet te veel moeten vastklampen aan één chipfabricageproces - Aioga AI-nieuws","description":"Huang Jian, algemeen directeur van Huawei voor de Chinese overheid en ondernemingen in de internetsector, wees erop dat de rekenkracht het grootste knelpunt voor AI-rekenkracht is...","url":"https://www.aioga.com/nl/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:47:07.426Z"},"tr":{"title":"Huawei: Taşıma kapasitesi, yapay zeka hesaplama gücünün en büyük darboğazıdır, tek çip işlemine takılmamalıyız","summary":"Huawei Çin hükümet ve işletme internet sektörü genel müdürü Huang Jian, taşıma kapasitesinin AI hesaplama gücünün en büyük darboğazı haline geldiğini belirtti ve tek çip üretim sürecine takılmak yerine, ağ-hesaplama-depolama iş birliği ile entegrasyonu artırmanın verimliliği artıracağını söyledi. Geçtiğimiz altı ayda Token tüketimi 6 kat arttı, model çağırma sayısı ise yaklaşık 50 ila 100 kat arttı. Huawei, NPO bant genişliğini sekiz kat artırdı ve Token üretim verimliliğini beş kat artırdı.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: Taşıma kapasitesi, yapay zeka hesaplama gücünün en büyük darboğazıdır, tek çip işlemine takılmamalıyız - Aioga AI Haberleri","description":"Huawei Çin hükümet ve işletme internet sektörü genel müdürü Huang Jian, taşıma kapasitesinin AI hesaplama gücünün en büyük darboğazı haline geldiğini belirtti ve tek çip üretim sür...","url":"https://www.aioga.com/tr/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:47:58.277Z"},"vi":{"title":"Huawei: Năng lực vận tải trở thành nút thắt lớn nhất của sức mạnh tính toán AI, không nên quá cố chấp với quy trình chip đơn lẻ","summary":"Ông Hoàng Kiện, Tổng Giám đốc ngành Internet Chính phủ và Doanh nghiệp của Huawei tại Trung Quốc, chỉ ra rằng năng lực vận tải đã trở thành nút thắt lớn nhất của sức mạnh tính toán AI, thay vì chỉ chú trọng vào quy trình chip đơn lẻ, tốt hơn là nâng cao hiệu quả thông qua sự phối hợp tích hợp giữa mạng, tính toán và lưu trữ. Trong nửa năm qua, lượng Token tiêu thụ đã tăng 6 lần, số lần gọi mô hình tăng khoảng 50 đến 100 lần. Huawei đã nâng băng thông NPO hơn 8 lần, hiệu quả tạo Token tăng 5 lần.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: Năng lực vận tải trở thành nút thắt lớn nhất của sức mạnh tính toán AI, không nên quá cố chấp với quy trình chip đơn lẻ - Tin tức AI Aioga","description":"Ông Hoàng Kiện, Tổng Giám đốc ngành Internet Chính phủ và Doanh nghiệp của Huawei tại Trung Quốc, chỉ ra rằng năng lực vận tải đã trở thành nút thắt lớn nhất của sức mạnh tính toán...","url":"https://www.aioga.com/vi/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:47:48.488Z"},"id":{"title":"Huawei: Kapasitas pengiriman menjadi hambatan terbesar dalam kemampuan komputasi AI, sebaiknya tidak terpaku pada proses chip tunggal","summary":"Huang Jian, General Manager of Huawei China Government and Enterprise Internet Industry, pointed out that computing power has become the biggest bottleneck for AI computing power. Rather than being obsessed with a single chip process, it is better to improve efficiency through integrated collaboration of network, computing, and storage. In the past six months, Token consumption has increased sixfold, and the number of model calls has increased by about 50 to 100 times. Huawei has increased NPO bandwidth by more than eight times, and the efficiency of Token generation has increased fivefold.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: Kapasitas pengiriman menjadi hambatan terbesar dalam kemampuan komputasi AI, sebaiknya tidak terpaku pada proses chip tunggal - Berita AI Aioga","description":"Huang Jian, General Manager of Huawei China Government and Enterprise Internet Industry, pointed out that computing power has become the biggest bottleneck for AI computing power....","url":"https://www.aioga.com/id/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:48:35.269Z"},"th":{"title":"หัวเว่ย: กำลังขนส่งกลายเป็นคอขวดที่ใหญ่ที่สุดของกำลังการประมวลผล AI ไม่ควรยึดติดกับกระบวนการชิปเพียงตัวเดียว","summary":"หัวเว่ย Huang Jian ผู้จัดการทั่วไปฝ่ายอินเทอร์เน็ตอุตสาหกรรมรัฐบาลและองค์กรในจีนกล่าวว่า กำลังประมวลผลได้กลายเป็นคอขวดที่ใหญ่ที่สุดของกำลังประมวลผล AI แทนที่จะยึดติดกับการผลิตชิปเพียงอย่างเดียว ควรเพิ่มประสิทธิภาพผ่านการประสานงานกันระหว่างเน็ตเวิร์ก คอมพิวติ้ง และการจัดเก็บ ในช่วงครึ่งปีที่ผ่านมา ปริมาณการใช้ Token เพิ่มขึ้น 6 เท่า จำนวนครั้งในการเรียกโมเดลเพิ่มขึ้นประมาณ 50 ถึง 100 เท่า หัวเว่ยได้เพิ่มแบนด์วิดท์ NPO มากกว่า 8 เท่า และประสิทธิภาพการสร้าง Token เพิ่มขึ้น 5 เท่า","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"หัวเว่ย: กำลังขนส่งกลายเป็นคอขวดที่ใหญ่ที่สุดของกำลังการประมวลผล AI ไม่ควรยึดติดกับกระบวนการชิปเพียงตัวเดียว - ข่าว AI Aioga","description":"หัวเว่ย Huang Jian ผู้จัดการทั่วไปฝ่ายอินเทอร์เน็ตอุตสาหกรรมรัฐบาลและองค์กรในจีนกล่าวว่า กำลังประมวลผลได้กลายเป็นคอขวดที่ใหญ่ที่สุดของกำลังประมวลผล AI แทนที่จะยึดติดกับการผลิตชิปเพ...","url":"https://www.aioga.com/th/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:48:45.883Z"},"pl":{"title":"Huawei: przepustowość stała się największym wąskim gardłem mocy obliczeniowej AI, nie należy upierać się przy pojedynczym procesie chipowym","summary":"Huang Jian, dyrektor generalny Huawei ds. Internetu w sektorze rządowym i korporacyjnym w Chinach, wskazał, że moc obliczeniowa transportu stała się największym wąskim gardłem dla mocy obliczeniowej AI. Zamiast upierać się przy procesie pojedynczego chipu, lepiej zwiększyć efektywność poprzez zintegrowaną współpracę obliczeń sieciowych i magazynowych. W ciągu ostatnich sześciu miesięcy zużycie tokenów wzrosło sześciokrotnie, a liczba wywołań modeli zwiększyła się o około 50 do 100 razy. Huawei zwiększył przepustowość NPO ponad osiem razy, a efektywność generowania tokenów pięciokrotnie.","category":"技巧观点","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Huawei: przepustowość stała się największym wąskim gardłem mocy obliczeniowej AI, nie należy upierać się przy pojedynczym procesie chipowym - Aioga Wiadomości AI","description":"Huang Jian, dyrektor generalny Huawei ds. Internetu w sektorze rządowym i korporacyjnym w Chinach, wskazał, że moc obliczeniowa transportu stała się największym wąskim gardłem dla...","url":"https://www.aioga.com/pl/news/cmryrefmb048urolgk4be0blf/","contentTranslated":true,"sourceHash":"b067fa884e4a7052","translatedAt":"2026-07-26T11:49:31.320Z"}}}}