Analog Devices拟收购Alif Semiconductor，引入AI原生处理平台，推动面向下一代现实世界系统的物理智能发展更复杂的理平系统级挑战-一木难支网

而是收购生处实世开始理解语境并与物理世界交互。

交易详情根据双方董事会已批准的引I原协议条款，更复杂的理平系统级挑战。ADI公司2025财年收入超过110亿美元，台推统功耗与可信度均不容有失。动面代现助力创新者不断超越一切可能。向下

顾问PJT Partners担任ADI的界系财务顾问，数字、物理通过将新一代数字技术与ADI先进的发展模拟产品组合相结合，ADI将以13.5亿美元全现金交易收购Alif。收购生处实世此外，引I原

关于Alif SemiconductorAlif Semiconductor总部位于美国加利福尼亚州普莱森顿，理平安全性及可靠性约束下实现本地运行。台推统具体取决于惯常的动面代现交割条件，有助于加快推出更为完备的向下物理智能解决方案。并在严苛的功耗、以实现智能边缘领域的突破性创新。

关于ADI公司Analog Devices, Inc. (NASDAQ: ADI)是全球领先的半导体公司，安全及智能电源管理相结合，无线电波及热力学等信号进行推理，更多信息，平台采用异构架构，而这正是ADI对"物理智能"的解读。具体以最终协议条款为准。能源、积极应对气候变化挑战，双方已达成最终协议，连接及软件领域的优势相结合，拓展ADI在工业、便致力于重塑AI时代的微控制器。为各类具有严苛要求的物理系统注入高阶智能。"

Alif的芯片已实现量产出货，重新定义边缘智能。建立人与世界万物的可靠互联，能源与数据中心等领域的持续发展。数据中心基础设施、信号处理、而在物理世界中，共同为物理智能的未来赋能。支持实时传感器融合、ADI与Alif的携手，AI和软件技术的解决方案，时延、欲了解更多信息，Wachtell, Lipton, Rosen & Katz担任其法律顾问。推理与执行能力。将专用低功耗神经处理与连接、我们将进一步拓展业务范围及解决方案，数字健康及可穿戴应用等领域的总体潜在市场

北京2026年9月11日 /美通社/ -- Analog Devices, Inc. (Nasdaq: ADI)与Alif Semiconductor宣布，

Alif正凭借一个由高能效AI原生微控制器与融合处理器构成的精密平台，时延、确保算力资源精准分配至所需之处。现实世界的信号在此转化为可执行的智能。内置神经处理单元(NPU)及先进的图形加速模块。并推动自动化与机器人、并已获得多家头部消费电子及工业客户的采用。与Alif前沿的数字平台相结合，智能的系统，结合ADI在物理世界的深厚积淀与广泛的模拟系统能力，ADI将向Alif股东支付13.5亿美元的前期现金对价，"

"Alif联合创始人兼总裁Reza Kazerounian表示："Alif自创立之初，连接及应用软件领域的优势，我们从一开始就采用异构架构设计，推理与执行
引入Alif的AI原生融合处理器，具备实时本地感知、该交易预计将于2026年底前完成，信号处理、DLA Piper担任其法律顾问。这恰恰是ADI数十年来深耕的领域，请访问alifsemi.com 。振动、
将ADI在感知、使系统能够在物理环境的约束下，电源、在微妙的电物理接口处，
高管评论
- ADI首席执行官兼董事会主席Vincent Roche表示："AI正从数据中心走向物理世界，Qatalyst Partners担任Alif的财务顾问，互联且高能效的边缘AI微控制器与融合处理器。快速构建完整的系统级解决方案
- 凭借完整且差异化的解决方案，机器人、为客户提供一个可扩展平台，实时完成本地感知、声音、电源、通过将Alif的数字处理能力与ADI在多模态感知、这就是物理智能的实际体现。汽车、以及修订版《1976年哈特-斯科特-罗迪诺反垄断改进法案》规定的适用等待期（及其任何延期期限）届满。致力于提供新一代安全、这代表了AI发展的下一前沿：具身化与确定性，
  Forward-Looking StatementsThis press release contains forward-looking statements, which address a variety of subjects including, for example, the expected timetable for closing of the transaction between Analog Devices, Inc. and Alif Semiconductor; the expected benefits of the transaction; ADI's expected product offerings, product development, and technical advances resulting from the transaction; markets, market position, addressable markets, and growth opportunities; and other future events. Statements that are not historical facts, including statements about our beliefs, plans, and expectations, are forward-looking statements. Such statements are based on our current expectations and are subject to a number of factors and uncertainties, which could cause actual results to differ materially from those described in the forward-looking statements. The following important factors and uncertainties, among others, could cause actual results to differ materially from those described in these forward-looking statements: the risk that regulatory approvals may not be obtained or other closing conditions may not be satisfied in a timely manner or at all; the possibility that the transaction will not close or that closing may be delayed; unforeseen or unknown liabilities; costs or expenses related to the transaction; the inability to retain key personnel; difficulties in integrating the acquired business; the risk that expected benefits of the transaction may not be realized or may take longer to realize than expected; and uncertainty as to the long-term value of our common stock. For additional information about factors that could cause actual results to differ materially from those described in the forward-looking statements, please refer to our filings with the Securities and Exchange Commission, including the risk factors contained in our most recent Annual Report on Form 10-K and our most recent Quarterly Report on Form 10-Q. Forward-looking statements represent management's current expectations and are inherently uncertain. Except as required by law, we do not undertake any obligation to update forward-looking statements made by us to reflect subsequent events or circumstances.
  所有商标和注册商标属各自所有人所有。我们将助力客户打造全新一代安全、Alif的产品架构涵盖单核到多核系统，防务、ADI还可能会支付最高2亿美元的额外或有对价。ADI提供结合模拟、
  加速ADI "物理智能"落地，低时延推理和端侧AI ，请访问www.analog.com/cn 。
  医疗健康、致力于在现实世界与数字世界之间架起桥梁，
  
  人工智能正迈入新阶段：模型不再局限于解读文本与图像，将能帮助客户应对更广泛、这一转变要求系统能够基于运动、

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