According to Andreessen Horowitz, 93% of Fortune 500 companies surveyed currently use three or more AI model providers, and now AI agents will proliferate and become standard. With the massive shift in enterprise AI adoption and the pace of change, enterprises need to modernize their network and security to unlock the value that AI generates and keep pace with rapid changes. Learn how to make your network and security AI-ready, plus discover new innovations to reduce infrastructure costs, improve user experience, enable faster developer velocity, and protect your AI infrastructure from new security threats.

This talk demonstrates a fashion app that leverages the power of AlloyDB, Google Cloud’s fully managed PostgreSQL-compatible database, to provide users with intelligent recommendations for matching outfits. User-uploaded data of their clothes triggers a styling insight on how to pair the outfit with matching real-time fashion advice. This is enabled through an intuitive contextual search (vector search) powered by AlloyDB and Google’s ScaNN index to deliver faster vector search results, low-latency querying, and response times. While we’re at it, we’ll showcase the power of the AlloyDB columnar engine on joins required by the application to generate style recommendations. To complete the experience, we’ll engage the Vertex AI Gemini API package from Spring and LangChain4j integrations for generative recommendations and a visual representation of the personalized style. This entire application is built on a Java Spring Boot framework and deployed serverlessly on Cloud Run, ensuring scalability and cost efficiency. This talk explores how these technologies work together to create a dynamic and engaging fashion experience.

Join Woosuk Kwon, Founder of vLLM, Robert Shaw, Director of Engineering at Red Hat, and Brittany Rockwell, Product Manager for vLLM on TPU, to learn about how vLLM is helping Google Cloud customers serve state-of-the-art models with high performance and ease of use across TPUs and GPUs.

Ever wondered what your work interface with AI agents will look like? Join us to learn about the latest advancements in Google Agentspace – your launch point for enterprise-ready AI agents. In this session, we’ll cover the exciting new capabilities and ready-to-use agents in Agentspace, and the new use cases enabled by it.

World models represent a paradigm shift in artificial intelligence, moving beyond passive data consumption to active, predictive understanding of environments. These models enable AI agents to simulate potential futures, plan strategically, and learn more efficiently in complex, dynamic scenarios.  In this session, Tim Brooks, Research Scientist at Google DeepMind, will explore the current state of world model research and illuminate the exciting frontiers that lie ahead.

Join us as we explore the intersection of computer use capabilities and the broader challenge of building effective AI agents. We'll examine how these developments map to the core requirements of AI agents: the ability to plan through strong reasoning and contextual understanding, act via direct computer interaction and tool use, and reflect through learning from experience. We'll share insights from recent implementations, and explore how emerging capabilities in areas like computer use are shaping the development of more capable AI systems.

This Session is hosted by a Google Cloud Next Sponsor.
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Discover the power of Google Cloud instances running on the latest Intel Xeon processors. This course will introduce you to Intel’s optimization tools, designed to help you manage and optimize your infrastructure with unmatched efficiency and performance. Learn how to leverage these cutting-edge technologies to enhance your cloud computing capabilities and drive your business forward.​

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Move your generative AI projects from proof of concept to production. In this interactive session, you’ll learn how to automate key AI lifecycle processes—evaluation, serving, and RAG—to accelerate your real-world impact. Get hands-on advice from innovative startups and gain practical strategies for streamlining workflows and boosting performance.

Learn how LG AI Research uses Google Cloud AI Hypercomputer to build their EXAONE family of LLMs and innovative Agentic AI experiences based the models. EXAONE 3.5, class of bilingual models that can learn and understand both Korean and English, recorded world-class performance in Korean. The collaboration between LG AI Research and Google Cloud enabled LG to significantly enhance model performance, reduce inference time, and improve resource efficiency through Google Cloud's easy-to-use scalable infrastructure

In this hands-on lab, you’ll learn the fundamentals of networking in Google Cloud and how it differs from traditional on-premises setups. You'll build a network with three subnetworks and gain practical experience in creating firewall rules. Learn how to apply these rules using instance tags to control access across your environment. By the end of the session, you'll be equipped with the foundational knowledge to manage and secure Google Cloud networks effectively.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Experience what a real cyberattack is like in ThreatSpace, a digital training ground on Google Cloud. While the Mandiant red team tries to break into your system, the Mandiant incident response team guides you through the investigation. Use Google Security Operations and Threat Intelligence tools to uncover how the attackers got in and what they’ve done. Extra points if you can catch the bad guys!

Maximize the efficiency of your machine learning workloads on Google Cloud infrastructure. This session delivers actionable strategies for in-depth diagnostics on both TPUs and GPUs. Learn to visualize model architectures, analyze critical performance metrics, and pinpoint optimization opportunities. Empower your data-driven decision-making and achieve significant performance gains through practical diagnostic techniques.

AI application growth brings security challenges, especially in multi-tenant environments. This talk explores access control issues in agentic workflows, using Google's Reasoning Engine. We'll cover limitations of current methods, user/agent identity interplay, data isolation, and secure delegation to LLMs. Future solutions include fine-grained access control and secure identity propagation. Learn to design secure, scalable AI workflows.

Experience a new way to interact with LLM-powered agents! With Gemini 2.0 and Multimodal Live API, users can give audible instructions and show visual content from a camera or screen, while receiving spoken responses from the model. This enables more natural, timely communication and unlocks multimodal agent workflows. This session showcases how existing agent experiences can be adapted for voice and visual cues, and explores new possibilities with this technology.

Join Aledade and Glean to discover how organizations can evolve from AI-curious to AI-centric. Learn how Aledade leveraged Glean's platform to navigate the AI maturity curve, moving beyond fragmented AI implementations to a cohesive strategy that drives measurable business outcomes. This session reveals practical steps for developing AI-centric employees, implementing centralized AI infrastructure, and maximizing ROI while avoiding the "AI tax" of disconnected solutions.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Building a GenAI chatbot for millions of users? This session reveals the secret sauce: best practices in LLM orchestration, advanced agentic patterns, and grounded responses, all while prioritizing brand safety. Learn key architectural decisions for balancing latency and quality, and discover strategies for scaling to production.

Spoiler alert: you can’t! But, there are some new approaches to teaming, measurement tracking, and technology that modern data teams are applying, changing their reputation in the organization from a cost center to a strategic value-add. We’ll share how Hex customers are revolutionizing the data field, explore the evolving impact of AI on data, and provide honest, actionable insights for data leaders, practitioners, and executives.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

This hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Unlock the power of your application logs with Google Cloud Logging. This hands-on lab provides hands-on experience using Cloud Logging to gain deep insights into your applications, particularly on Google Kubernetes Engine. Learn to build effective queries and proactively address potential issues.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Ready to advance your career in the cloud? This meetup is for anyone interested in earning a Google Cloud certification or adding to their certification portfolio. Get expert advice from certified professionals, connect with fellow learners, and discover the right certification path for you. Leave with helpful study tips and maybe even a few study partners!

Discover how leading manufacturing companies are leveraging AI to transform employee experience and drive productivity with AI-enabled workflows and assistants. Learn about the evolution of these tools, the positive user feedback they received, and further possibilities around image and code generation. This session will provide a compelling look at how AI can revolutionize large enterprises, with practical insights into implementation and future possibilities.

Connect with other security professionals in our Birds of a Feather sessions. Dive into lively discussions with peers and Google Cloud experts on key security topics, including identity and access management, network security, multicloud monitoring, and more.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.