Snowflake 和 Google Cloud 通过 Gemini 3 集成增强企业人工智能

Snowflake 和 Google Cloud 将 Gemini 3 原生集成到 Snowflake Cortex AI 中，从而彻底改变企业数据策略，无需移动数据即可实现“企业推理”。

NEW YORK, NY – January 6, 2026 – In a move set to redefine corporate data strategies, Snowflake (NYSE: SNOW) and Google Cloud (NASDAQ: GOOGL) have announced a significant expansion of their partnership. This collaboration introduces Google's cutting-edge Gemini 3 model family directly into Snowflake Cortex AI. The integration promises to unlock advanced artificial intelligence capabilities for enterprises within their secure data environments, effectively dissolving the traditional barriers of security concerns and latency often associated with external AI APIs.

纽约州纽约 – 2026 年 1 月 6 日 – 为了重新定义企业数据战略，Snowflake（纽约证券交易所股票代码：SNOW）和 Google Cloud（纳斯达克股票代码：GOOGL）宣布大幅扩展双方的合作伙伴关系。此次合作将 Google 尖端的 Gemini 3 模型系列直接引入 Snowflake Cortex AI。此次集成有望在企业的安全数据环境中解锁先进的人工智能功能，有效地解决通常与外部人工智能 API 相关的安全问题和延迟的传统障碍。

Enterprise Reasoning: The Dawn of Zero Data Movement AI

企业推理：零数据移动人工智能的黎明

The core innovation lies in embedding Gemini 3 Pro and Gemini 2.5 Flash into the Snowflake platform, enabling what the companies term "Enterprise Reasoning." This capability allows AI to perform complex, multi-step logical analyses on vast internal datasets without the data ever needing to leave Snowflake's robust security perimeter. This "Zero Data Movement" architecture directly addresses a primary concern for C-suite executives: harnessing the power of generative AI while ensuring absolute control over sensitive corporate intellectual property. The implications are profound, allowing for advanced tasks like complex financial reconciliations and legal audits to be performed with unprecedented reliability.

核心创新在于将 Gemini 3 Pro 和 Gemini 2.5 Flash 嵌入到 Snowflake 平台中，从而实现公司所说的“企业推理”。此功能允许人工智能对大量内部数据集执行复杂的多步骤逻辑分析，而数据无需离开 Snowflake 强大的安全边界。这种“零数据移动”架构直接解决了高管层的主要担忧：利用生成式人工智能的力量，同时确保对敏感企业知识产权的绝对控制。其影响是深远的，允许以前所未有的可靠性执行复杂的财务对账和法律审计等高级任务。

Technological Underpinnings: Deep Think, Axion Chips, and Massive Context

技术基础：深度思考、Axion 芯片和海量上下文

Fueling this integration is Gemini 3’s specialized "Deep Think" mode, which prioritizes parallel processing of logical steps for more accurate, complex answers. This has resulted in benchmark-setting performance, including a record Elo score of 1501 on the LMArena leaderboard. Supporting this are infrastructure upgrades, with Snowflake Gen2 Warehouses now leveraging Google Cloud’s custom Arm-based Axion C4A virtual machines, reportedly boosting inference efficiency by 40% to 212%. Furthermore, Gemini 3's 1-million token context window allows for the ingestion of massive datasets, such as entire quarterly reports, drastically reducing the

Gemini 3 专门的“深度思考”模式推动了这种集成，该模式优先考虑逻辑步骤的并行处理，以获得更准确、更复杂的答案。这带来了基准设定性能，包括 LMArena 排行榜上创纪录的 1501 分 Elo 分数。支持这一点的是基础设施升级，Snowflake Gen2 Warehouses 现在利用 Google Cloud 的基于 Arm 的定制 Axion C4A 虚拟机，据报道将推理效率提高了 40% 至 212%。此外，Gemini 3 的 100 万个代币上下文窗口允许摄取大量数据集，例如整个季度报告，从而大大减少了