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Alex Woodie@BigDATAwire //

Google Cloud Preps for the Agentic AI Revolution

Google Cloud is making significant strides into the agentic AI era, showcasing new technologies at its annual NEXT conference. The company is introducing its seventh-generation Tensor Processing Unit (TPU), named "Ironwood," designed specifically for inference workloads. Google is also pushing agent interoperability with the Agent2Agent standard and a new developer kit. The company is focused on transitioning from model training to inference, aiming to solve real-world problems using AI systems.

The newly unveiled Ironwood TPU is a game-changer, with each pod scaling up to over 9,000 chips and delivering a staggering 42.5 exaflops of compute. This power surpasses the world's fastest supercomputer, El Capitan, by more than 24 times. Ironwood is built for the demands of complex AI models like Gemini 2.5, boasting improvements in power efficiency and liquid cooling. Innovations like optical switching have led to 100 times improvements in sustained performance.

Google is also focused on AI agent technologies, unveiling an open Agent2Agent (A2A) protocol to enable AI agent interoperability. Over 50 technology partners are supporting this initiative, aimed at facilitating the development of AI agents trained to automate tasks across various cloud portfolios. Additionally, Google is providing tools for building and deploying agents, along with broader access to AgentSpace, its framework for building AI agents. This move underscores Google's commitment to making AI more accessible and versatile for enterprises.
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References :
  • Ken Yeung: Google Pushes Agent Interoperability With New Dev Kit and Agent2Agent Standard
  • BigDATAwire: Google Cloud Preps for Agentic AI Era with ‘Ironwood’ TPU, New Models and Software
  • techstrong.ai: Google Unfurls Raft of AI Agent Technologies at Google Cloud Next ’25
  • www.bigdatawire.com: Google Cloud Preps for Agentic AI Era with Ironwood’ TPU, New Models and Software
  • THE DECODER: Google unveils new AI models, infrastructure, and agent protocol at Cloud Next
  • Compute: Introducing Ironwood TPUs and new innovations in AI Hypercomputer
  • www.unite.ai: The artificial intelligence arms race among the cloud titans – Amazon Web Services (AWS), Microsoft Azure, and Google Cloud – is escalating rapidly.
  • techstrong.ai: Google today unveiled an interoperability protocol for artificial intelligence (AI) agents, along with a bevy of AI agents that makes use of version 2.5 of the Gemini large language model (LLM)
  • www.nextplatform.com: With “Ironwood†TPU, Google Pushes The AI Accelerator To The Floor
  • insideAI News: Google Launches ‘Ironwood’ 7th Gen TPU for Inference
  • NVIDIA Newsroom: NVIDIA Brings Agentic AI Reasoning to Enterprises With Google Cloud
  • SAP News Center: SAP and Google Cloud Are Advancing Enterprise AI Through Open Agent Collaboration, Model Choice, and Multimodal Intelligence
  • the-decoder.com: Google unveils new AI models, infrastructure, and agent protocol at Cloud Next
  • The Next Platform: If you want to be a leading in supplying AI models and AI applications, as well as AI infrastructure to run it, to the world, it is also helpful to have a business that needs a lot of AI that can underwrite the development of homegrown infrastructure that can be sold side-by-side with the standard in the industry.
  • Big Technology: Google Cloud CEO Thomas Kurian on AI Competition, Agents, and Tariffs
  • www.marktechpost.com: Google AI recently announced Agent2Agent (A2A), an open protocol designed to facilitate secure, interoperable communication among AI agents built on different platforms and frameworks.
  • AI & Machine Learning: Vertex AI offers new ways to build and manage multi-agent systems
  • www.bigdatawire.com: Google Cloud unveiled a major round of database enhancements at its Next 2025 conference, including a host of new AI features in AlloyDB, a MongoDB-compliant API for Firestore, continuous materialized
  • www.marktechpost.com: Google AI Introduces Ironwood: A Google TPU Purpose-Built for the Age of Inference
  • BigDATAwire: Google Cloud Fleshes Out its Databases at Next 2025, with an Eye to AI
  • www.itpro.com: Google Cloud Next 2025: Targeting easy AI
  • cloud.google.com: Today we're unveiling new AI capabilities to help cloud developers and operators at every step of the application lifecycle.
  • insidehpc.com: Google launches Ironwood 7th Gen TPU
  • AI News | VentureBeat: Google’s Agent2Agent interoperability protocol aims to standardize agentic communication
  • AI Accelerator Institute: The truth about enterprise AI agents (and how to get value from them)
  • PCMag Middle East ai: At Google Cloud Next, We're Off to See the AI Agents (And Huge Performance Gains)
  • Data Analytics: Next 25 developer keynote: From prompt, to agent, to work, to fun
  • futurumgroup.com: At Google Cloud Next, Google Brings its Databases to Bear on Agentic AI Opportunity
  • techhq.com: Google introduces AI-focused features in app development and infrastructure. Event features Ironwood, a TPU built for AI inference.
  • AIwire: Google Cloud is focusing on the AI agent era by introducing new AI models, software, and hardware.
  • www.aiwire.net: Google Cloud is gearing up for the agentic AI era in a big way, and its showing off its new wares this week at its NEXT conference.
  • TestingCatalog: Google launches Agent2Agent protocol to connect AI agents across platforms
  • Shelly Palmer: Greetings from Sin City. I'm here at Google Cloud Next 25—where it's all AI, all the time.
  • bdtechtalks.com: Google's new A2A framework lets different AI agents chat and work together seamlessly, breaking down silos and improving productivity across platforms.
  • www.infoq.com: At Google Cloud Next 2025, Google announced the Agent Development Kit (ADK), an open-source framework aimed at simplifying the development of intelligent, multi-agent applications.
  • Salesforce: Consumer appetite for AI agents to help enhance their lives has silently surged according to recent Salesforce survey data that reveals customers aren’t just ready for agentic interactions — they’re actively expecting them.
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