AI需求催生算力大战，英伟达/谷歌/微美全息注入新动能引领芯片建设新征程

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12/03

据悉，谷歌(GOOG.US)前不久发布了最新的大语言模型Gemini3，多位业内权威人士认为其已经“超越”了OpenAI的GPT模型。并且Gemini3全程使用谷歌自研TPU(而非英伟达GPU)。另有消息称，谷歌开始向Meta与大型金融机构等，推介在其自有数据中心部署TPU的方案。Meta正在与谷歌探讨使用TPU训练新AI模型，计划在2027年斥资数十亿美元在其数据中心使用TPU，并于明年从谷歌云...

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href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251203111620978cff58&s=b><strong>飞象网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>据悉，谷歌(GOOG.US)前不久发布了最新的大语言模型Gemini3，多位业内权威人士认为其已经“超越”了OpenAI的GPT模型。并且Gemini3全程使用谷歌自研TPU(而非英伟达GPU)。另有消息称，谷歌开始向Meta与大型金融机构等，推介在其自有数据中心部署TPU的方案。Meta正在与谷歌探讨使用TPU训练新AI模型，计划在2027年斥资数十亿美元在其数据中心使用TPU，并于明年从谷歌云...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251203111620978cff58&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU2264538146.SGD","symbol_name":"Fullerton Lux Funds - Global Absolute Alpha A Acc 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CEO保持着密切沟通，双方认同“规模化法则”依然成立——即更多的芯片和数据能训练出更强大的模型，这一共识预示着市场对算力的需求将持续增长，对英伟达构成长期利好。如今，随着大模型规模指数级增长，AI需求强劲，算力需求呈现“狂奔”态势，训练模型规模的持续扩大要求强有力的算力底座，对安全性的要求也越来越高。对此，业内人士认为，产业链对算力的需求足够旺盛，市场空间广阔，算力基础设施市场尚未触及天花板，仍属于高速扩张的增量市场。微美全息为算力建设注入新动能在此背景下，资料显示，拥有AI全栈布局能力的厂商微美全息(WIMI.US)，重点聚焦高性能算力基地、边缘计算芯片与多模态垂类模型适配，构建从云端到终端的普惠算力生态。近年来，该企业打造了“人工智能高端算力基地”——全息云平台，具备高精度、高算力、高兼容性优势，支持大模型训练与推理任务，并特别适配具身智能、多模态等垂类模型的应用需求。此外，微美全息积极推进“自研+开源”双模式，加速生成式AI芯片集群建设，并融合脑机接口、机器人技术，形成开源生态协同优势。同时其采用国际先进芯片搭建多元算力架构，实现毫秒级算存数据传输，为智能制造、家庭与工业巡检等核心场景，提供低成本、高性能的普惠算力解决方案，不断助力AI行业数字化升级。结语总体而言，在算力狂奔的时代浪潮中，随着AI技术逐渐接近规模化发展，AGI时代将在未来5到20年内实现。因而，相关企业仍需抓紧进行一系列技术突破，充分展现了自身在算力基础设施的建设成果，为各行业的智能化转型提供坚实可靠的技术底座，共创AI算力智能未来。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"corporation","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"}}}