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Google Cloud enables AI-defined vehicles with Android and Bigtable

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feature announcement

Google Cloud is partnering with the automotive industry to build Software-Defined Vehicles (SDVs) and AI-defined vehicles (AIDVs). The solution integrates Android Automotive OS (AAOS) SDV with Google Cloud services like Bigtable and Gemini to create intelligent, connected vehicle architectures. This enables OEMs to move beyond hardware-centric designs and develop dynamic, AI-native mobility solutions that offer personalized experiences and proactive automation. The platform is designed to manage high-volume telemetry data and provides a foundation for developing advanced AI agents within vehicles.

  • →Android Automotive OS (AAOS) SDV platform abstracts core vehicle functions
  • →Valtech Nexus SDV integrates with AAOS SDV for telemetry streaming
  • →AI-defined vehicles (AIDVs) leverage AI for core operational logic
  • →Bigtable serves as a scalable data backbone for automotive telemetry
  • →Nexus SDV platform offers standardized foundation and security for OEMs
Features (5) ›
  • Android Automotive OS (AAOS) SDV platform abstracts core vehicle functions

    The AAOS SDV platform provides a modular Service-Oriented Architecture (SOA) by abstracting core functions into reusable services independent of physical hardware. This decouples non-safety domains like climate control and diagnostics from Electronic Control Units (ECUs), enabling dynamic runtime service discovery.

  • Valtech Nexus SDV integrates with AAOS SDV for telemetry streaming

    Valtech's Nexus SDV platform utilizes the AAOS SDV middleware to manage vehicle resources and stream high-frequency telemetry data directly into Google Cloud's Bigtable. This approach contrasts with older methods of outsourcing system software to multiple suppliers, which resulted in fragmented data silos.

  • AI-defined vehicles (AIDVs) leverage AI for core operational logic

    The concept of AI-defined vehicles (AIDVs) positions AI as central to a vehicle's operational logic, enabling systems to perceive environments, reason through complex scenarios using engines like Google Gemini, and proactively execute actions for optimized experiences, such as intelligent charging suggestions.

  • Bigtable serves as a scalable data backbone for automotive telemetry

    Google Cloud's Bigtable is designed for high ingestion rates and low latency, supporting petabyte-scale automotive and manufacturing telemetry. Its flexible schema accommodates diverse sensor data, and features like Continuous Materialized Views (CMV) help pre-calculate key metrics, minimizing computational overhead.

  • Nexus SDV platform offers standardized foundation and security for OEMs

    Built on Google Cloud, the Nexus SDV platform integrates with AAOS SDV and provides a standardized data foundation for automotive OEMs. It supports developing brand-specific customer experiences through Cloud and vehicle SDKs, incorporating security features like mTLS, Google Cloud CAS, Private GKE clusters, and the Secure AI Framework (SAIF).

Notes (1) ›
  • Automotive industry shifts towards Software-Defined Vehicles (SDVs)

    The automotive industry is transitioning from hardware-centric platforms to sophisticated Software-Defined Vehicle (SDV) architectures, where vehicles are viewed as intelligent, connected nodes within an AI-native ecosystem. Google's Android and Google Cloud are facilitating this shift.

Read the original announcement →

https://cloud.google.com/blog/products/databases/nexus-sdv-uses-bigtable-android-automotive-for-agentic-vehicles/

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