Key insights

• 🌐 🌐 Google Cloud's Cloud WAN enhances network performance by 40% while cutting costs for major firms.
• ⚡ ⚡ The seventh generation TPU, Ironwood, achieves 3600 times the performance of earlier versions alongside notable energy efficiency.
• 🚀 🚀 Gemini 2.5 revolutionizes AI with 42.5 exoflops per pod and significant cost and latency reductions in inference.
• 📊 📊 Gemini 2.0 boosts intelligence per dollar, outclassing competitors and enriching Google Workspace features.
• 🤖 🤖 Meta's Llama 4 and AI2 models on Vertex AI enhance factual accuracy and facilitate multi-agent development.
• 🛠️ 🛠️ Google introduces protocols for agent-to-agent communication and model context to streamline AI collaboration.
• 👥 👥 New virtual agents significantly support data teams by integrating with existing applications and enhancing workflows.
• 📈 📈 Specialized agents for engineering, science, and analysis are now available to boost productivity and automation.

Q&A

• What new specialized AI agents have been launched? 💻

  New specialized AI agents are designed to support data teams in various fields like engineering, science, and analysis. They include virtual agents for real-time customer interactions, AI assistance for creating custom agents using a no-code interface, and agents that enhance data engineering and science workflows, thereby improving overall productivity and integration with existing applications.

• How is Google enhancing AI collaboration? 🔗

  Google is introducing new protocols for model context and agent-to-agent communication, allowing different AI models and frameworks to interact seamlessly. Through Google Agent Space, employees can easily access information and engage with AI, facilitating better collaboration and information synthesis within enterprises.

• What is available on Vertex AI from Meta and AI2? 🤖

  Meta's Llama 4 and a range of open models from AI2 are now available on Vertex AI, allowing seamless connections to diverse data sources and vector databases. This integration simplifies the development of multi-agent systems and supports real-time applications without data duplication, enhancing model factuality through comprehensive grounding methods.

• What advancements does Gemini 2.0 bring to Google Workspace? 📊

  Gemini 2.0 significantly enhances Google Workspace by providing 24 times higher intelligence per dollar compared to GPT-4 and introducing features like advanced data analysis in Google Sheets, audio summaries in Google Docs, and automated workflows. It can operate in both airgapped and connected environments, ensuring security for sensitive applications.

• How does Gemini 2.5 differ from other supercomputers? 🚀

  Gemini 2.5 offers an impressive compute power of 42.5 exoflops per pod, far exceeding the capabilities of leading supercomputers. This platform enhances AI inference capabilities and reduces serving costs by up to 30% and tail latency by 60%, delivering exceptional performance for cloud customers.

• What are the features of the seventh generation TPU, Ironwood? ⚡

  The Ironwood TPU represents a significant upgrade in processing power and energy efficiency, offering 3600 times better performance compared to the first generation TPU. Additionally, it provides a remarkable 29-times increase in energy efficiency and features over 9,000 chips per pod, paving the way for advanced AI model development.

• What is Google Cloud WAN and how does it enhance performance? 🌐

  Google Cloud WAN is a global private network that enhances cloud connectivity and performance, boasting improvements of over 40%. It also reduces operational costs by up to 40%, making it an attractive option for businesses like Citadel Securities and Nestle that are already utilizing this technology.

• 00:00 🌐 Google Cloud is launching its cloud wide area network (Cloud WAN), enhancing performance by 40% and reducing costs, already adopted by major companies. Additionally, the new seventh generation TPU, Ironwood, displays significant performance and energy efficiency improvements, driving advancements in AI models.
• 01:57 Google introduces significant advancements in AI inference capabilities, enhancing compute power and efficiency while reducing costs and latency. 🚀
• 03:24 🚀 Gemini 2.0 AI outperforms competitors in intelligence per dollar and offers new features for Google Workspace, enhancing data analysis and automation.
• 05:20 🚀 Meta's Llama 4 and AI2's models are now available on Vertex AI, enabling seamless connections to various data sources, enhancing model factuality, and simplifying multi-agent system development with a new agent development kit.
• 07:24 Google is enhancing AI collaboration by introducing a model context protocol and an agent-to-agent communication protocol, enabling agents to work across different frameworks. This will empower employees with Google Agent Space to access information and interact with AI seamlessly. 🤖
• 09:34 🚀 New specialized AI agents are launched to support data teams in engineering, science, and analysis, enhancing workflows and integrating with existing applications through APIs.