Snowflake expands its partnership with Google Cloud, bringing Gemini AI models into Cortex AI for secure, governed enterprise intelligence at scale.
Snowflake on Tuesday announced the expanded availability of Google’s latest Gemini models—Gemini 3 Pro and Gemini 2.5 Flash—running natively within Snowflake Cortex AI, a move aimed at accelerating enterprise adoption of generative and agentic artificial intelligence without requiring sensitive data to leave Snowflake’s governed environment.
For customers, the integration promises faster access to advanced AI capabilities while preserving security and data governance. Gemini 3 Pro introduces state-of-the-art multimodal reasoning, enabling AI agents to interpret complex context, intent and domain-specific information with significantly less prompting. The result, Snowflake said, is more capable AI systems grounded directly in enterprise data.
The launch deepens Snowflake’s strategic partnership with Google Cloud and reflects a shared effort to simplify how enterprises build and deploy AI. By running Gemini models where governed data already resides, customers can reduce architectural complexity, lower costs and increase trust in production-grade AI applications.
As part of the expanded collaboration, Snowflake and Google Cloud are aligning more closely across product development and go-to-market efforts. The companies said the partnership will allow organizations worldwide to build, deploy and scale secure AI while maintaining flexibility across cloud environments and meeting regional data sovereignty requirements.
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Gemini Arrives in Snowflake Cortex AI
Gemini 3 Pro and Gemini 2.5 Flash are now available in public preview through Snowflake Cortex AI Functions, with broader support coming to Snowflake Intelligence and Cortex Agents. The Gemini models join other leading frontier models from Anthropic, Meta and OpenAI that already operate within Snowflake’s secure perimeter.
Gemini 3 Pro brings Google’s latest advances in multimodal understanding, long-context reasoning and agentic workflows to Snowflake customers, allowing deeper analysis across structured, unstructured and multimodal data—without compromising governance controls. Snowflake said the model significantly outperforms earlier generations across reasoning, mathematical and factual accuracy benchmarks, making it suitable for complex, business-critical use cases.
Gemini 2.5 Flash, by contrast, is optimized for speed and cost efficiency. It is designed for high-volume workloads such as summarization, data extraction and customer service interactions, delivering fast results at scale without sacrificing quality.
Because the models run natively within Snowflake, customers can use Gemini across supported cloud environments through cross-region inference by enabling GCP_US or ANY_REGION settings.
Faster Insights Through SQL-Native AI
Snowflake said Cortex AI Functions allow analysts and developers to build scalable AI pipelines using familiar SQL, reducing orchestration overhead and accelerating development. Combined with Gemini 3 Pro’s advanced reasoning, organizations can move beyond basic question-and-answer systems to more nuanced analysis, planning and decision support directly on governed datasets.
The company said the approach lowers costs, shortens development cycles and ensures AI outputs remain grounded in trusted enterprise data.
Expanding Global Reach on Google Cloud
Snowflake also announced continued expansion on Google Cloud, including new and forthcoming regions such as Saudi Arabia—aligned with the Kingdom’s Vision 2030 digital transformation strategy—and Melbourne, aimed at supporting customers across Australia and New Zealand. The expansions are intended to give enterprises greater choice, performance and local control over their data.
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A Deeper Partnership
The closer alignment between Snowflake and Google Cloud includes deeper integrations with Google services such as Gemini, Vertex AI and BigQuery, coordinated account teams, and availability through Google Cloud Marketplace. Together, the companies said, these efforts will streamline procurement, deployment and support for AI and data workloads.
“By combining Google Cloud’s industry leadership with Snowflake’s ability to bring AI directly to enterprise data, we’re empowering customers to move faster, innovate more freely and redefine what’s possible through data and AI,” said Christian Kleinerman, Snowflake’s executive vice president of product.
Looking ahead, Snowflake said it will continue to bring advances in multimodal and agentic reasoning directly into its governed data platform, enabling enterprises to operationalize AI securely, cost-effectively and at scale.
