Today, Google announced their seventh-generation TPU, codenamed Ironwood. Compared to their first publicly available TPU, Ironwood achieves a remarkable 3,600 times better performance. This new chip is the most powerful one Google has ever built and will enable the next frontier of AI models.

In addition to the massive performance boost, Ironwood has also become 29 times more energy-efficient. This improvement in power efficiency is crucial, as the availability of energy is a limiting factor for the widespread adoption of advanced AI applications, especially in the United States.

The combination of industry-leading performance and energy efficiency in the Ironwood TPU will be a significant enabler for the continued advancement and deployment of cutting-edge AI technologies.

Gemini 2.5 Pro, the latest and most advanced AI model from Google, has demonstrated its exceptional capabilities in various tasks. This model has been recognized as the best in the world, achieving the highest score ever on the Turing test, one of the industry's most challenging benchmarks designed to capture the frontier of human knowledge and reasoning.

One remarkable feat of Gemini 2.5 Pro is its ability to simulate a Rubik's Cube, a complex reasoning challenge. The model was able to handle adjustable dimensions, scrambling the squares, and keyboard controls, all with a single prompt and without any iteration or examples. This showcases the model's impressive problem-solving skills and its capacity to produce robust interactive code.

Furthermore, Google has announced the upcoming release of Gemini 2.5 Flash, a low-latency and cost-efficient version of the model that allows users to control the level of reasoning, balancing performance with their budget. This new variant will be available in AI Studio, Vert.Ex AI, and the Gemini app, providing users with more flexibility and accessibility to this powerful AI technology.

The integration of Gemini models into the new Agent Development Kit is another significant advancement. This open-source framework simplifies the process of building sophisticated multi-agent systems, enabling the creation of Gemini-powered agents that can utilize various tools and perform complex multi-step tasks, including reasoning and thinking. The support for the Model Context Protocol (MCP) further enhances the interoperability of these agents, allowing them to access and interact with diverse data sources and tools.

In summary, Gemini 2.5 Pro has demonstrated its exceptional capabilities, from simulating a Rubik's Cube to powering advanced multi-agent systems. The upcoming release of Gemini 2.5 Flash and the integration of Gemini models into the Agent Development Kit showcase Google's commitment to pushing the boundaries of AI technology and making it more accessible to developers and users alike.

Gemini 2.5 Flash is Google's latest AI model, offering low latency and cost-efficient performance with built-in reasoning capabilities. This new model allows users to control the level of reasoning, enabling them to balance performance and budget requirements.

Gemini 2.5 Flash will be available soon in AI Studio, Vert.Ex AI, and the Gemini app. Google will be sharing more details on the model's performance and capabilities in the near future. This new model is an exciting addition to the Gemini lineup, providing users with a flexible and cost-effective option for their AI needs.

Google is introducing a new agent development kit, which is an open-source framework that simplifies the process of building sophisticated multi-agent systems. This framework allows developers to build Gemini-powered agents that can use tools, perform complex multi-step tasks, and engage in reasoning or thinking.

The key feature of this new agent development kit is the support for the Model Context Protocol (MCP). This protocol provides a unified way for AI models to access and interact with various data sources and tools, eliminating the need for custom integrations for each integration.

In addition to the agent development kit, Google is also introducing a new agent-to-agent protocol. This protocol enables agents to communicate with each other, regardless of the underlying model and framework they were developed with. This protocol is supported by many leading partners, including Langraph and Crew AI, who share the vision of allowing agents to work across the multi-agent ecosystem.

To demonstrate the power of this agent-to-agent interoperability, Google showcased a demo using Google Agent Space. In this demo, an agent was able to access data from both Box and Google BigQuery, and then generate a claim report and cost summary by combining the information from these two different platforms.

This new agent-to-agent interoperability is a significant step forward in the development of sophisticated multi-agent systems, enabling agents to work together seamlessly and unlock new possibilities for automation and collaboration.

Over the last year, Google has made significant improvements to its generative media models. They have introduced Imagine 3, their highest quality text-to-image model, which generates images with better detail, richer lighting, and fewer distracting artifacts than previous models. Imagine 3 delivers accurate prompt adherence, bringing creative visions to life with incredible precision.

Google has also introduced Chirp 3, a model that helps create custom voices with just 10 seconds of input audio. This allows users to weave AI-powered narration into their existing recordings.

Furthermore, Google is making LLIA available on Google Cloud, which transforms text prompts into 30-second music clips. This makes Google the first hyperscaler to offer this capability.

These advancements in generative media models, including Imagine 3, Chirp 3, and LLIA, demonstrate Google's commitment to providing powerful tools for creators and developers to bring their ideas to life across various media formats.

Google has introduced a groundbreaking video generation model called VO, which offers unprecedented creative control and capabilities. VO is their industry-leading video generation model that can generate many minutes of 4K video, watermarked with a synthetic ID to ensure they can be identified as AI-generated content.

VO gives creators unprecedented creative control with new editing tools, including camera presets to direct shot composition and camera angles without complex prompting. It also offers first and last shot control to define the beginning and end of a video sequence, with seamless voice-over (VO) bridging the gap. Additionally, VO features dynamic inpainting and outpainting for video editing and scaling.

In the live demo, the presenter showcased VO's ability to generate various camera shots, such as panning left, panning right, time-lapse, tracking shots, and even drone shots. The resulting videos were absolutely spectacular, showcasing the Eiffel Tower, Las Vegas Boulevard, and a concert stage setup. The presenter also demonstrated VO's inpainting capability, which allowed them to remove a crew member from the image while preserving the rest of the scene.

VO's advanced features and the quality of the generated videos are a testament to Google's commitment to pushing the boundaries of generative media models. With VO, creators now have access to a powerful tool that can transform their creative visions into stunning, high-quality video content.

Google has made some incredible announcements at their recent Google Cloud Next keynote, showcasing the power and capabilities of their latest AI technologies. The highlights include:

1. 7th Generation TPU Ironwood: A new tensor processing unit that delivers 3600 times better performance and 29x more energy efficiency compared to their first publicly available TPU.

2. Gemini 2.5 Pro: Their most intelligent AI model ever, which has achieved the highest score on one of the industry's toughest benchmarks. It has demonstrated its ability to tackle complex reasoning challenges, such as simulating a Rubik's Cube with zero iteration.

3. Gemini 2.5 Flash: A low-latency and cost-efficient version of Gemini 2.5 that allows users to control the level of reasoning and balance performance with their budget.

4. Agent Development Kit: A new open-source framework that simplifies the process of building sophisticated multi-agent systems, enabling agents to work together across different platforms and frameworks.

5. Agent-to-Agent Protocol: A protocol that allows agents to communicate with each other regardless of the underlying model and framework they were developed with, fostering a collaborative multi-agent ecosystem.

6. Imagine 3, Chirp 3, and LIA: Google's latest advancements in text-to-image, voice generation, and text-to-music capabilities, respectively, showcasing their commitment to generative media across all modalities.

7. VO (Video Origination): Google's industry-leading video generation model that offers unprecedented creative control, including camera presets, shot composition, and dynamic inpainting and outpainting for video editing and scaling.

These announcements demonstrate Google's continued leadership in the field of artificial intelligence, pushing the boundaries of what's possible with their cutting-edge technologies. The integration of these capabilities across various platforms and the emphasis on open-source and interoperability suggest a future where AI-powered agents and generative media become seamlessly integrated into our daily lives.