On the Google Cloud Subsequent 2025 occasion on Wednesday, Google introduced quite a few key updates concerning AI brokers. The newly introduced instruments, protocols and frameworks assist builders and enterprises successfully construct, join, and deploy agentic methods throughout their ecosystems. Moreover, the corporate additionally introduced one other household within the Gemini 2.5 household of fashions—the Gemini 2.5 Flash.
Google’s New Agent Growth Package and Agent2Agent Protocol
To start with, Google introduced the brand new Agent2Agent (A2A) protocol, which facilitates the connection of AI brokers inside an enterprise ecosystem. The protocol allows AI brokers to speak with each other, no matter the framework or vendor on which they’re constructed.
“A2A facilitates communication between a ‘consumer’ agent and a ‘distant’ agent. A consumer agent is accountable for formulating and speaking duties, whereas the distant agent is accountable for appearing on these duties in an try to offer the right info or take the right motion,” Google acknowledged.
Furthermore, A2A is an open protocol that enhances Anthropic’s Mannequin Context Protocol (MCP), which helps join information sources with AI methods.
The corporate has already established partnerships with over 50 organisations, together with Deloitte, Accenture, Oracle, Salesforce, and others, to collaborate on the protocol.
On the occasion, Google introduced the Agent Growth Package (ADK), an open-source framework for designing AI brokers and multi-agent methods whereas sustaining management over one another. Whereas it at the moment helps Python, extra languages shall be supported later this yr. The corporate additionally introduced ‘Agent Backyard’, a set of pre-built agent patterns and parts to ‘speed up’ the event course of.
ADK additionally permits brokers to be related on to enterprise methods. “This contains over 100 pre-built connectors, workflows constructed with Utility Integration, or information saved inside your methods like AlloyDB, BigQuery, NetApp and far more,” Google stated within the announcement.
New Agent Engine to Deploy AI Brokers With Ease
Furthermore, the corporate introduced Agent Engine, which permits builders to deploy AI brokers constructed utilizing any framework and AI mannequin. “No extra rebuilding your agent system when transferring from prototype to manufacturing. Agent Engine handles agent context, infrastructure administration, scaling complexities, safety, analysis, and monitoring,” it added.
Brokers hosted on Agent Engine will also be registered on Google Agentspace, for which the corporate additionally introduced a couple of updates. Google Agentspace gives an enterprise search agent that solutions questions utilizing firm information, alongside a central hub for customized AI brokers that assist staff analysis, create content material, and automate duties.
Google additionally introduced that, beginning immediately, Agentspace shall be built-in with Chrome Enterprise version. This implies staff can utilise its search capabilities instantly from Chrome. Google can be introducing a brand new Agent Gallery, which supplies staff a single view of all obtainable brokers throughout the enterprise. As well as, the corporate can be introducing an Agent Designer in preview, which gives a no-code interface for creating brokers that connect with enterprise information sources to enrich varied duties.
Gemini 2.5 Flash is Right here
Furthermore, on the occasion, Google introduced the Gemini 2.5 Flash mannequin. It will likely be obtainable on Google’s Vertex AI and Google AI Studio. Google promotes the Gemini 2.5 Flash as a “workhorse mannequin”, designed for low latency and price effectivity.
The mannequin can be stated to regulate reasoning time primarily based on question complexity. Customers can management reasoning by adjusting pace, accuracy, and price.
The Gemini 2.5 Flash is the successor to the Gemini 2.0 Flash, which outperforms Llama 3.3 70B and OpenAI’s GPT-4o mini fashions. Just lately, Google launched the Gemini 2.5 Professional, which leads a number of benchmarks as the highest frontier AI mannequin. Moreover, quite a few builders throughout the web have hailed the Gemini 2.5 Professional as the very best AI mannequin for coding.
To assist customers select the suitable mannequin, Google can be introducing an experimental Vertex AI Mannequin Optimiser that generates the very best high quality response for every immediate primarily based on the specified steadiness of price and high quality.
Google additionally introduced that Gemini shall be obtainable on Google Distributed Cloud (GDC), with public preview beginning in Q3 2025. The corporate has partnered with NVIDIA to carry Gemini fashions to NVIDIA Blackwell Methods. GDC extends Google Cloud’s infrastructure and providers to on-premises information facilities and edge areas, enabling organisations to run functions nearer to their information sources.
Moreover, Google unveiled the seventh technology of its tensor processing unit (TPU), Ironwood. The TPU helps two configurations—one with 256 chips and one other with 9,216 chips. Ironwood’s efficiency/watt ratio is 2 instances larger than the sixth technology, Trillium. Ironwood additionally gives 192 GB per chip, six instances that of Trillium.
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