商业产业 TechCrunch AI Wed, 05 Aug 2026 正文 ok 213 words

Anthropic 正在组建 AI 芯片设计团队

英文标题:Anthropic is hiring an AI chip design team

Anthropic 正在组建团队,设计面向 AI 应用的自研定制芯片,并计划将硬件与模型协同设计,以提升 Claude 的运行速度和效率。随着 Claude 需求增长,Anthropic 虽已与 AWS、Google、Nvidia 和 AMD 达成算力合作,但显然还需要更多自主基础设施能力来实现规模化扩张。此举延续了 OpenAI、Google DeepMind 和 Meta 自研 AI 芯片的行业趋势,Anthropic 正通过招聘具备芯片设计经验的工程师来组建“定制硅芯片团队”。
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中文

Anthropic 正在组建团队,为 AI 用途设计自己的定制芯片。

Business Insider 最先报道了这一消息,此后 Anthropic 已向 TechCrunch 证实。

这家 Claude 的开发商表示,计划对硬件和模型进行协同设计,以帮助其技术运行得更快、更高效。上个月,The Information 报道称,Anthropic 正在考察三星,将其作为生产此类芯片的潜在合作伙伴。

Anthropic 决定设计自研芯片之际,Claude 的需求正在上升,同时 AI 公司也在尽可能争抢更多 AI 基础设施合作协议。

Anthropic 已与 AWS、Google、Nvidia 和 AMD 签署协议,以获取 AI 计算硬件。但要真正实现规模化并满足当前需求水平,显然仅依赖其他公司还不够。

Anthropic 并不是第一家决定自研芯片的 AI 公司。今年 6 月,OpenAI 发布了由 Broadcom 制造的 Jalapeño 芯片,该芯片专为推理工作负载设计。Google DeepMind 长期依靠 Alphabet 的 TPU 芯片为其 AI 模型提供算力;Meta 则一直在为 AI 工作负载开发自己的 MTIA 加速器。

根据一则招聘信息,该公司正在为其“定制硅芯片团队”(“custom silicon team”)招聘具有芯片设计经验的工程师。

本文已更新,以纳入 Anthropic 的确认回应。

English / 原文

Anthropic is building a team to design its own custom chips for AI usage.

Business Insider was first to report on the news, but Anthropic has since confirmed with TechCrunch.

The Claude maker said it is planning to co-design hardware and models to help its technology run faster and more efficiently. Last month, The Information reported that Anthropic was scouting Samsung as a potential partner for building such chips.

Anthropic’s decision to design its own chips comes as demand for Claude rises while AI companies snatch up as many AI infrastructure deals as they can.

For its part, Anthropic has inked deals with AWS, Google, Nvidia, and AMD to access AI computing hardware. But to really scale to meet the level of demand, relying on others clearly isn’t enough.

Anthropic isn’t the first AI company to decide to build its own chip. In June, OpenAI unveiled its Broadcom-built Jalapeño chip, which is designed specifically for inference workloads. Google DeepMind has long relied on Alphabet’s TPU chips to power its AI models, while Meta has been developing its own MTIA accelerators for AI workloads.

The company is seeking engineers with experience in chip design for its “custom silicon team,” per a job listing.

This article has been updated to include confirmation from Anthropic.