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TechCrunch · AI· Ram Iyer·· 4 天前

谷歌发布两款新型TPU芯片扩展AI硬件组合

Google broadens its AI hardware portfolio with two new specialized chips

要点速览

Google 发布 TPU 8tx 和 TPU 8i Max 两款新型 TPU 芯片,用于 AI 工作负载,扩展其芯片组合至机密推理和更大内存容量。TPU 8tx 与 AMD 合作开发,专为机密训练和运行 AI 模型设计,硬件层直接集成安全功能;TPU 8i Max 结合两颗 TPU 8i 芯片,内存容量、处理能力和带宽翻倍,支持 AI 模型处理更大范围信息。

同一件事另外 3 家也报道了

各家口径不同:MarkTechPost 表示 TPU 8tx 使用 TPU 8t 芯片搭配第 5 代 AMD EPYC,而 TechCrunch 提到它是与 AMD 合作开发,专为机密训练和运行 AI 模型设计,硬件层直接集成安全功能。

  1. IT之家 · AI··首发

    谷歌扩充 TPU 芯片阵容,推出 8tx/8i Max 两款新品挑战英伟达

  2. The Decoder··+15 分钟

    Google 一年内推出四种 TPU 变体,加剧与英伟达的竞争

    新增信息:上下文窗口为 1M;API 每百万输入令牌 2.00 美元

  3. MarkTechPost··+4 小时 26 分

    谷歌发布了TPU 8i Max和TPU 8tx:一款双芯片TPU和一款机密TPU

  4. TechCrunch · AI··+27 小时 10 分·当前阅读

    谷歌发布两款新型TPU芯片扩展AI硬件组合

按发布时间排列 · 事件后续出现时自动追加 · 由模型根据各家标题与摘要比对

正文

Google is notching up its chipmaking game as the company seeks to reduce its dependence on chips made by other companies for its cloud computing business. Google on Monday unveiled two new variants of its tensor processing units (TPUs), in-house developed chips meant for AI workloads, that broaden its chip portfolio to additional use cases: confidential inference and more memory capacity for large workloads.

The new units, TPU 8tx and TPU 8i Max, are part of the company’s eighth generation of chips introduced in April this year, and build on what those chips offered, which was more inference capacity and support for large training requirements.

TPU 8tx, designed with AMD, is based on the TPU 8t chip, and is geared specifically for confidentially training and running AI models, Google said in a blog post. The chip “builds security directly into the hardware layer, keeping sensitive data and model weights protected and isolated even while in active use,” the company wrote.

The chip also has a custom inferencing network that lets it run reasoning alongside training, so it can be used to distill and train small models on the fly. That ability, according to Google, could prove useful for cases where a company might want to train a model on its proprietary data without having to move the data between devices.

Meanwhile, TPU 8i Max basically combines two of the inference-focused TPU 8i chips the company launched in April, doubling the memory capacity, processing power and bandwidth, but in a single package. The result is a chip that lets AI models handle a larger range of information during queries.

The chip launch comes as hyperscalers like Microsoft, Amazon, and even AI labs like OpenAI and Anthropic are working on their own lines of AI-specific semiconductors and accompanying software in order to reduce their reliance on the dominance of Nvidia.

The news also comes at a particularly vulnerable moment for Nvidia, whose CEO Jensen Huang over the weekend admitted to having an affair with someone alleged to be a Chinese spy.

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Ram is a financial and tech reporter and editor. He covered North American and European M&A, equity, regulatory news and debt markets at Reuters and Acuris Global, and has also written about travel, tourism, entertainment and books.

You can contact or verify outreach from Ram by emailing [email protected].

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来源: TechCrunch · AI · techcrunch.com