Taalas豪掷1.69亿美元融资剑指英伟达：专用AI芯片掀起算力革命

维库电子市场网02-24

在多伦多一间低调的实验室里，芯片初创公司Taalas正以一场颠覆性的技术豪赌撼动AI算力格局。2026年2月，这家成立仅两年半的企业宣布完成1.69亿美元新一轮融资，累计吸金超2亿美元，而其瞄准的正是英伟达把持的AI芯片王座。硬连线革命：把大模型"刻进"硅片Taalas的首款产品HC1芯片展现了令人咋舌的性能——在运行Meta的Llama3.18B模型时，其单用户场景下输出速度高达每秒17,000...

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href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260224140956a71891fc&s=b><strong>维库电子市场网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>在多伦多一间低调的实验室里，芯片初创公司Taalas正以一场颠覆性的技术豪赌撼动AI算力格局。2026年2月，这家成立仅两年半的企业宣布完成1.69亿美元新一轮融资，累计吸金超2亿美元，而其瞄准的正是英伟达把持的AI芯片王座。硬连线革命：把大模型\"刻进\"硅片Taalas的首款产品HC1芯片展现了令人咋舌的性能——在运行Meta的Llama3.18B模型时，其单用户场景下输出速度高达每秒17,000...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260224140956a71891fc&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":"HK0000320264.USD","symbol_name":"TAIKANG KAITAI CHINA NEW OPPORTUNITIES FUND \"A\" (USD) 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revolution","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"NVDS":0.6,"SNVD.UK":0.6,"DIPS":0.6,"NVDU":0.6,"NVDX":0.6,"NVDA":1.86,"NVD":0.6,"NVII":0.6,"3NVD.UK":0.6,"NVDS.UK":0.6,"ANV":0.6,"NVDG":0.6,"NVDB":0.6,"NVDD":0.6,"NVDW":0.6,"NVD3.UK":0.6,"NVDQ":0.6,"NVIW.SI":0.6,"2NVD.UK":0.6,"NVD2.UK":0.6,"NVDY":0.6},"content_text":"在多伦多一间低调的实验室里，芯片初创公司Taalas正以一场颠覆性的技术豪赌撼动AI算力格局。2026年2月，这家成立仅两年半的企业宣布完成1.69亿美元新一轮融资，累计吸金超2亿美元，而其瞄准的正是英伟达把持的AI芯片王座。硬连线革命：把大模型\"刻进\"硅片Taalas的首款产品HC1芯片展现了令人咋舌的性能——在运行Meta的Llama3.18B模型时，其单用户场景下输出速度高达每秒17,000个token，不仅达到竞品Cerebras的9倍，更是英伟达Blackwell架构GPU的50倍。这一突破源自其独创的\"硬连线\"技术：将AI模型近乎完整地固化在台积电6nm工艺制造的硅片中，使模型权重通过MaskROM形式与计算逻辑同层集成，彻底击穿了传统存算分离的\"带宽墙\"。这种极端的专用化设计带来惊人的能效比。据测试数据显示，HC1芯片功耗仅为英伟达H200的十分之一，却实现73倍的推理速度提升。更关键的是其生产周期——从定制到流片仅需两个月，相较英伟达长达六个月的标准周期形成碾压级优势。MSIC路线：效率与风险的平衡游戏Taalas选择的MSIC（模型专用集成电路）路线堪称双刃剑。CEO柳比沙·巴伊奇（前AMD与英伟达架构师）带领25人团队，通过先完成100层基础结构、再在两层金属层定制化的精妙设计，使芯片能完美适配特定模型。但这种\"硅片级定制\"也意味着完全丧失灵活性——一旦行业转向新架构，现有硬件可能迅速贬值。为此，Taalas已启动对冲策略：计划2026年底推出支持200亿参数模型的HC2处理器，剑指GPT-5级别系统的专用化需求。这种快速迭代能力，正呼应着开源模型加速演进的产业节奏。改写游戏规则的商业博弈在商业模式上，Taalas展现出多重可能性：既可能自建推理API服务，也可能直接出售芯片，或是与模型开发者深度绑定。其核心竞争力在于改写企业AI投资回报曲线——若能以10%功耗运行同等规模模型，数据中心运营成本将发生质变。行业观察家指出，Taalas的出现标志着AI算力市场可能走向\"通用与专用并存\"的新纪元。虽然英伟达在训练环节的统治地位短期内难以撼动，但在推理市场这个成本敏感的新战场，专用芯片正在撕开一道缺口。这场始于1.69亿美元融资的技术革命，或许终将重塑我们对AI算力的全部想象。","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,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 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