Dive into the world of serverless GPUs with Cloud Run. This talk explores how Cloud Run delivers on-demand GPUs with unprecedented flexibility and cost efficiency. Learn how you can achieve optimal performance and resource utilization with rapid autoscaling and scaling to zero. And discover how Cloud Run GPUs can help you build AI inference apps with open models, high-performance computing, graphics rendering, and much more.

Developers love Cloud Run. In this demo-driven talk, you’ll discover why Cloud Run offers simplicity alongside flexibility for running your code. We’ll begin with a couple of basic getting-started concepts. Then we’ll go into “How do I” scenarios that cover every feature from Virtual Private Cloud (VPC) access to startup probes. Too much info? We’ll have codelabs for you to do at your own pace.

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

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!

Come join us as we take a deep dive into using Cloud Run for high-availability applications that are resilient to regional outages with no additional costs or complexity. Learn how you can minimize service disruptions to ensure your business continues to operate smoothly, even during a regional outage, with minimal toil on Cloud Run. This session covers a range of topics, including fault tolerant design, multi-region deployment, automated failover, and more.

Maximize your Google Cloud ROI with automation! This session explores strategies for rate optimization, specifically focusing on automating Committed Use Discount (CUD) management. Learn how to intelligently purchase CUDs to achieve optimal savings and dramatically reduce your cloud spend. Discover how to effectively distribute risk through commitment laddering and other strategies. Gain insight into how automation can free up your FinOps team’s time to focus on higher-value activities in the cloud.

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.

Join Google Cloud's Yasmeen Ahmad, Deutsche Telekom's VP of Data & Architecture Ashutosh Mishra and Snap's Senior Engineering Leader Bo Chen for a fireside chat exploring the future of the data lakehouse. They'll discuss how evolving architectures can empower organizations to handle explosive data growth and leverage the full potential of AI. Gain valuable insights into building a future-proof data foundation that fuels innovation in 2025 and beyond.

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

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 robust ETL pipelines on Google Cloud! This hands-on lab teaches you to use Dataflow (Python) and BigQuery to ingest and transform public datasets. Learn design considerations and implementation details to create effective data pipelines for your needs.

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!

Join CDW for an inspiring discussion on the journey from mainframe to cloud. Learn how our cloud leaders helped Jeff Thurston from Jim’s Formalwear Inc. tackle legacy system migration, simplify data processes, and unlock their full cloud potential through automated data updates, streamlined reporting, and a foundation for cloud-native innovation. Don’t miss insights from CDW Google experts on transforming today’s challenges into tomorrow’s breakthroughs.

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.

Developers love Cloud Run, Google Cloud’s serverless runtime. Join this session for a deep dive into new Cloud Run capabilities that make it even simpler to deploy your applications and enable you to deploy new types of workloads, including AI inference. Discover how Cloud Run can power your most demanding workloads with unparalleled efficiency and flexibility.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

BigQuery is unifying data management, analytics, governance, and AI. Join this session to learn about the latest innovations in BigQuery to help you get actionable insights from your multimodal data and accelerate AI innovation with a secure data foundation and new-gen AI-powered experiences. Hear how Mattel utilized BigQuery to create a no-code, shareable template for data processing, analytics, and AI modeling, leveraging their existing data and streamlining the entire workflow from ETL to AI implementation within a single platform.

This session showcases an end-to-end generative AI application on Google Cloud. We’ll demonstrate how to use Gemini 2.0 Flash to analyze user-uploaded images, extract features, and generate descriptions stored in AlloyDB. Then we’ll show you how to fine-tune Gemini 2.0 Flash with BigQuery and generate outfit recommendations with AlloyDB low-latency querying. Finally, we’ll use the output from Gemini 2.0 Flash and Imagen 3 to create visuals of the outfits and deploy the entire solution on Cloud Run.

Level up your Java apps with the power of Gemini. This session explores how Java developers can easily integrate generative AI features into their applications using LangChain4j. We’ll cover everything from building chatbots and implementing in-context learning to creating agentic workflows and using advanced techniques like unstructured data extraction. Learn best practices and build smart, AI-powered Java applications with ease. No Python experience required.

Unlock the potential of AI with high-performance, scalable lakehouses using BigQuery and Apache Iceberg. This session details how BigQuery leverages Google's infrastructure to supercharge Iceberg, delivering peak performance and resilience. Discover BigQuery's unified read/write path for rapid queries, superior storage management beyond simple compaction, and robust, high-throughput streaming pipelines. Learn how Spotify utilizes BigQuery's lakehouse architecture for a unified data source, driving analytics and AI innovation.

Intro to Serverless with AWS Lambda Functions In today’s fast-evolving tech world, serverless is transforming how we build scalable architecture by allowing engineers to focus on the code logic while the infrastructure is handled by the cloud provider. In this session, we will discuss the fundamentals of serverless with Lambda functions, have a quick introduction to NodeJS runtime and how to get a working lambda function in AWS.

En el primer episodio de Chicas en IA, aprenderás sobre los conceptos básicos de la programación en la nube. Comprenderás qué son las nubes públicas, privadas e híbridas, los beneficios y los tipos de servicios, como IaaS, PaaS, SaaS, Serverless, y cómo usar Azure para desarrollar tus aplicaciones.

Join us to learn how Alexa's speech recognition can transform your daily routine by creating keyboard-free applications. Discover the core components of Alexa, start with the Developer console, and customize it using Python in a serverless approach. We'll show you how to integrate Alexa into your development workflow, potentially replacing your keyboard with voice commands for automation.

Nous présenterons une solution complète avec Google Cloud pour créer des applications entièrement Event Driven et Serverless de façon simple et sécurisée, illustrée par des données réelles.