At the Cloud Next '26 conference, Google officially launched a series of core infrastructure aimed at building "The Agentic Enterprise." This update covered a comprehensive architectural overhaul from the underlying computing power to the top-level collaborative applications, marking that the AI competition has entered a productivity era centered on autonomous agents (Agent).

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Underlying Computing Power: The "Splitting" and "Scaling" Revolution of TPU Architecture

Google first split the eighth-generation tensor processing unit (TPU) into two specialized versions: TPU8t for model training and TPU8i optimized for inference.

  • Scale Effect: Google abandoned the pursuit of single-chip peak performance and instead bet on cluster scale. Through the new Virgo network, Google can connect up to one million TPUs into a massive cluster.

  • Inference Optimization:TPU8i features larger on-chip SRAM to accelerate mixed expert models, combined with the new Boardfly topology structure, significantly reducing inter-chip latency.

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Software Ecosystem: Gemini Enterprise Agent Platform and Workspace Intelligence Layer

To simplify the development and deployment of autonomous AI agents, Google introduced the Gemini Enterprise Agent Platform based on Vertex AI:

  • Autonomous Capabilities: The platform introduced Agent Studio, allowing agents to perform multi-step processes and have long-term memory without requiring manual confirmation at each step.

  • Safety Enhancement: To address potential attack surfaces from agents, Google launched encrypted identity authentication, anomaly behavior detection, and simulation testing tools.

  • Data Integration: The new Workspace Intelligence layer connects applications such as Gmail, Docs, and Drive, enabling Gemini3.1Pro and third-party models (such as Claude Opus4.7) to understand complex relationships across applications.

Through this entire suite of "all-in-one" technology output, Google is trying to establish dual barriers in computing power and application, transforming AI agents from lab-based "chat assistants" into efficient digital employees within enterprises.