- Ironwood is the seventh generation chip of Google for computing IA, with 3600 times better performance than its first TPU.
- This chip is part of the AI Hypercomputer architecture and is optimized for complex inference tasks such as those in the model Gemini:.
- Together with Ironwood, Google is revamping its Vertex AI platform with models like Gemini 2.5 Flash, integrations with Google Maps, and tools for AI agents.
- Google Agentspace and new features in Workspace boost business productivity with the Artificial Intelligence.
Google has taken another step in its consolidation strategy in the field of artificial intelligence with the presentation of Ironwood, its new seventh-generation TPU chip designed to maximize the performance of AI applications in its cloud ecosystem. This announcement came during the Google Cloud Next '25 event, held in Las Vegas, where numerous new features were also showcased aimed at facilitating the mass adoption of AI solutions by businesses.
The technology behind Ironwood not only points to the future of AI, but strengthens Google's position against competitors such as Nvidia, offering a powerful and scalable alternative within its own infrastructure. All of this is accompanied by a renewed service offering on the Vertex AI platform, improvements to Workspace, and integrations that seek to bring artificial intelligence even closer to the end user.
Ironwood: Google's next-generation TPU chips
Ironwood is the seventh iteration of Google's TPUs for AI-related computing.. This system is part of its AI Hypercomputer architecture, a combination of hardware, software and models optimized to run Generative AI on a large scale. In this context, the progress of chips like the Mediatek Kompanio Ultra It also highlights the importance of innovation in the processor sector.
The new processor has been developed for intensive inference tasks, that is, to run pre-trained models, such as those belonging to the Gemini family. According to data provided by the company, Ironwood achieves a 3600x performance improvement compared to the first public TPU, and doubles the energy efficiency compared to Trillium, the previous generation.
Each pod can include up to 9.216 Ironwood chips, with a theoretical processing power of 42,5 exaflops., far surpassing the El Capitan supercomputer, which supports 1,7 exaflops. This configuration allows highly complex AI models to be run in real time and on large volumes of data. On the other hand, the impact of manufacturing chips in space for artificial intelligence opens up new possibilities for the future.
Furthermore, Ironwood chips integrate 192 GB of HBM memory with a bandwidth of 7.4 TB/s, and they have cores specialized in dispersed operations, common in recommendation or massive classification systems.
Gemini 2.5 Flash and other generative models
An important part of Google's strategy at this event has been the evolution of its ecosystem of models, led by the Gemini family. Within Vertex AI, the company's AI development and deployment platform, two new additions are being launched:
- Gemini 2.5 Pro, aimed at in-depth text analysis, interpretation of medical, legal or scientific documents.
- Gemini 2.5 Flash, a lightweight and fast version, designed for cases where cost efficiency and low latency are a priority, such as in customer service or automatic summary generation.
Gemini 2.5 Flash also stands out for being able to adjust the depth of reasoning depending on the type of query or context., allowing companies to fine-tune the user experience while maintaining control over the resources used. Currently, the need for advanced chips is being felt by other major players in the sector. For example, Microsoft has strengthened its position in artificial intelligence buying Nvidia chips in large quantities.
Beyond text processing, Vertex AI has incorporated new generative models for different modalities:
- Imagen 3, for realistic image generation and editing.
- Chirp 3, which allows you to create natural voices with just 10 seconds of reference audio.
- I SEE 2, with assisted video editing features such as removing elements or changing camera angles.
- lyria, a development that transforms text into 30-second musical sequences.
According to official spokespersons, Google is currently The only company offering fully integrated multimodal generative models on a single platformThe integration of advanced chips is crucial to maintaining this competitive advantage in cloud computing.
Vertex AI: a hub for multi-agent AI
The Vertex AI ecosystem has grown significantly in the last year, increasing its usage by a factor of 20, according to Google. Today, Thousands of companies are already developing AI applications on this platform., and several new features have been introduced for multi-agent systems:
- Agent Development Kit (ADK), an open-source framework for facilitating the creation and deployment of collaborative AI agents.
- Agent2Agent (A2A), a protocol that enables communication between agents designed by different vendors or technologies.
- Agent Garden, a set of ready-to-use examples and tools, including over 100 pre-built connectors to APIs and business flows.
In addition, Vertex AI expands its integrations with well-known services such as Google Maps, thanks to the “grounding” feature, which fine-tunes the responses of location-based models. The option of automatically optimize the model used based on criteria such as speed, accuracy, or cost. This type of optimization becomes critical in an environment where The technology industry is constantly pushing forward.
Agentspace and new capabilities in Google Workspace
Agentspace is Google's bid to bring artificial intelligence to all employees in an organization.It's a unified environment that combines search capabilities, enterprise assistants, and task automation.
Among its latest developments are:
- Integration with Chrome Enterprise, which will allow you to search for business resources from the navigation bar.
- Agent Assembler, a no-code interface for creating custom agents.
- Deep Research Agent, to generate executive reports after analyzing large blocks of information.
- Idea Generation Agent, designed to organize creative processes or brainstorming dynamics.
For its part, Google Workspace introduces new AI-powered features:
- "Help me analyze” in Sheets, transforms spreadsheets into automated analyses without formulas.
- "Audio description" for Google Docs, allows you to create spoken versions to consume content while performing other tasks.
- Automatic workflows with Workspace Flows, to systematize routine tasks such as meeting summaries or email management.
- Gemini in Chats, integrating conversational AI directly into messages with commands singles like @gemini.
Google has also focused on the technical support that underpins its entire AI ecosystem.Its private connectivity network, known as Google WAN, has been deployed in more than 200 countries and offers performance up to 40% faster than the public internet. This network is used not only for mass services like Gmail or Google Photos, but also for training AI models like Gemini. This type of infrastructure is similar to the efforts being made by Apple and Broadcom in the development of advanced AI chips.
AI-powered infrastructure, security, and science
In terms of security, Google Unified Security (GUS) centralizes the protection of networks, endpoints, and cloud services, enriching data with threat intelligence collected in real time thanks to Gemini.
Within the scientific area, Google Cloud has incorporated models such as AlphaFold 3 and WeatherNext at Vertex AI. The former is capable of predicting molecular structure with great accuracy, while the latter improves the accuracy of weather forecasts, helping industries such as agriculture and logistics. These advances are a testament to how AI can be enhanced with two-nanometer chips which significantly improve computational performance.
The deployment of Ironwood represents the consolidation of a comprehensive system for Google Cloud where AI, custom chips, and high-speed connectivity converge to offer scalable solutions.These innovations not only strengthen its presence in the business sector but also set a standard for the future of cloud computing and applied artificial intelligence. Each of the features introduced, from language processing to audio and image generation, is designed to facilitate the integration of AI into all aspects of corporate life.
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