Salesforce and Google Cloud Eliminate Data Silos with Unified AI Infrastructure at Dreamforce 2026

Salesforce and Google Cloud Expand Strategic Partnership to Accelerate Enterprise AI Adoption

Salesforce and Google Cloud unveiled a major expansion of their strategic partnership at Dreamforce 2026, addressing one of enterprise technology's most persistent challenges: fragmented systems where data, agents, and applications operate in silos1

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. The collaboration aims to eliminate data silos by running Salesforce on Google Cloud infrastructure and connecting Salesforce's headless architecture with Gemini Enterprise AI, enabling agents on either platform to reason and act upon the same data without requiring custom integrations2

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. This technical foundation aligns essential layers of enterprise AI: trusted data, workflows, business logic, and actions from Salesforce, combined with the agentic and reasoning capabilities of Gemini Enterprise, all accessible through everyday interfaces where teams and consumers interact in real-time1

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Hyperforce on Google Cloud Marks Infrastructure Milestone

Hyperforce on Google Cloud has already successfully handled live production customer traffic, with Salesforce planning to begin migrating select customers in the United States in Q4 20261

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. This represents a significant milestone for bringing the trusted Salesforce platform to Google Cloud at scale, enabling organizations to leverage Google Cloud's infrastructure, data services, and Gemini Enterprise capabilities. Meir Amiel, President and Chief Trust and Infrastructure Officer at Salesforce, emphasized that the infrastructure change beneath customers won't compromise the trust they've built, stating that Hyperforce running natively on Google Cloud will extend the same security, compliance, and resilience standards while providing Google Cloud's flexibility1

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. Organizations gain greater choice in how they deploy Salesforce on AI-optimized infrastructure without sacrificing established trust standards.

Cross-Platform Agent Reasoning Through Headless Architecture

Google Cloud has become one of the first hyperscalers to implement Salesforce's headless architecture, enabling customers to deploy intelligent workflows across sales, service, and productivity tools with uncompromised security and scale2

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. Enterprises can now surface Salesforce data and capabilities directly within Gemini Enterprise without custom integration, with thousands of Salesforce capabilities available to any model, agent, or interface1

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. Built on the Model Context Protocol open standard, this architecture enables native interoperability between Gemini Enterprise and Salesforce for use cases spanning pipeline health checks, account summaries, and case triage across Sales, Service, Finance, and Advertising workflows. Kevin Ichhpurani, President of Global Partner Ecosystem at Google Cloud, noted that enterprise AI only delivers value when agents can understand business context and act on it, with Gemini Enterprise bringing Google's most advanced AI together with company data, applications, and everyday workflows1

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Autonomous AI Agents Powered by Gemini Models in Agentforce

Joint customers can now use Google Cloud's Gemini models natively within Agentforce to build autonomous AI agents that reason and act across both platforms1

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. Google's most recent and advanced models remain available to power Prompt Builder and Agentforce's Reasoning Engine for Salesforce customers. Tableau analytics integration with Gemini Enterprise ensures that every agent response is accurate and relevant, with governance, row-level security, and semantic models enforced with every agent query for consistent, business-grounded insights through Tableau MCP1

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. SharkNinja is already implementing these integrations, with Evan Gerber, VP of AI and Emerging Technology, explaining how bringing Gemini Live's real-time, multimodal capabilities together with Agentforce creates a new way for consumers to engage throughout a product's life—from guided setup to an intelligent product companion that helps with learning, troubleshooting, discovery, and support connection1

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Google Cloud Launches Singapore Engineering Center for Regional AI Development

Alongside the partnership expansion, Google Cloud announced the launch of its Singapore Engineering Center, a flagship product development hub in Southeast Asia located near its Google DeepMind research lab2

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. The Singapore engineering center brings together engineers specializing in AI-related fields to work directly with companies, translating foundational technical advances into production-ready cloud systems tailored for Singapore-based businesses targeting international markets. To support commercial production from the engineering center, Google Cloud is expanding investments in its regional workforce of Forward Deployed Engineers who turn new products into sustained commercial operations2

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. Commerce Cloud integration with Universal Commerce Protocol-powered checkout on Google is also planned to begin this Fall, enabling shoppers to seamlessly discover and purchase products1

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