Training large AI models at scale requires high-performance and purpose-built infrastructure. This session will guide you through the key considerations for choosing tensor processing units (TPUs) and graphics processing unit (GPUs) for your training needs. Explore the strengths of each accelerator for various workloads, like large language models and generative AI models. Discover best practices for training and optimizing your training workflow on Google Cloud using TPUs and GPUs. Understand the performance and cost implications, along with cost-optimization strategies at scale.

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In this session, you'll learn how the platform team can provide a multi-tenant traffic-management infrastructure to optimize performance, route efficiently to reduce costs, and simplify operations. We'll demonstrate how multi-cluster service and multi-cluster Gateway can be used to abstract the cloud infrastructure and how Google Kubernetes Engine (GKE) Enterprise can empower the platform team managing fleets of GKE clusters and teams consuming those clusters.

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Generative AI has the potential to transform the way we live, work, bank, and invest. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency in banking. The session will also feature customer success stories and a discussion with banking executives at the forefront of using generative AI.

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Join this fireside session with Dario Amodei (CEO and Co-Founder, Anthropic) and Elad Gil (Entrepreneur, Investor and Startup Helper) as they discuss real-world applications of gen AI and the impact on cost, productivity, and revenue.

Hear their perspective on challenges like hallucination rates, jailbreaks, model deception, and high latency - and opportunities for large language models (LLMs) to drive transformation. Get their point of view on how we can collectively shape the future trajectory of AI through policy efforts, groundbreaking societal impact research, and collaborative initiatives.

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Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

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Dive into GitLab Duo's integration with Google Cloud to enhance your DevSecOps strategy. We'll demonstrate how GitLab Duo leverages Vertex AI for smarter, faster app development and deployment. This session offers direct insights into improving app security and efficiency in your cloud projects, showcasing GitLab Duo’s unique capabilities within the Google Cloud ecosystem. Perfect for developers and IT professionals seeking practical, scalable solutions for their software delivery challenges.

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Text-to-image generative AI models such as the Stable Diffusion family of models are rapidly growing in popularity. In this session, we explain how to optimize every layer of your serving architecture – including TPU accelerators, orchestration, model server, and ML framework – to gain significant improvements in performance and cost effectiveness. We introduce many new innovations in Google Kubernetes Engine that improve the cost effectiveness of AI inference, and we provide a deep dive into MaxDiffusion, a brand new library for deploying scalable stable diffusion workloads on TPUs.

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Join Cox Communications in their generative AI journey, from innovation to transformation. Explore how they enhance sales and value using Google Cloud's Vertex AI suite. Uncover use cases improving digital sales and NPS, and reducing contact center costs. Get insights from the journey's early days, including rapid prototyping, preliminary results, and plans for organizational readiness and application controls essential for scaling. Don't miss this deep dive into the intersection of innovation, strategy, and tangible outcomes.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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In this session, you’ll learn how to deploy a fully-functional Retrieval-Augmented Generation (RAG) application to Google Cloud using open-source tools and models from Ray, HuggingFace, and LangChain. You’ll learn how to augment it with your own data using Ray on Google Kubernetes Engine (GKE) and Cloud SQL’s pgvector extension, deploy any model from HuggingFace to GKE, and rapidly develop your LangChain application on Cloud Run. After the session, you’ll be able to deploy your own RAG application and customize it to your needs.

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HSBC has a large number of legacy IBM WebSphere applications that are costly to maintain and pose a compliance risk. This session will discuss how HSBC built a “migration factory” to help developers platform existing Websphere applications to Google Kubernetes Engine (GKE). The benefits of migrating these existing applications to GKE include reduced operational costs, improved compliance, increased scalability, faster application development, and improved security. Come learn exactly how HSBC did it and how you can replicate their process and success.

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Learn how platform engineering can provide multi-tenant traffic management to optimize performance, route efficiently to reduce costs, and simplify network operations. We‘ll demonstrate how multi-cluster services and multi-cluster gateways can be used to abstract the infrastructure for developers.

Learn from Shopify how they built their large-scale Kubernetes network to support 61 million shoppers and $9.3B in sales during Black Friday.

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Join three-time Kaggle Grandmaster Ruchi Bhatia in an exclusive interview with Kaggle Data Scientist Walter Reade. Ruchi will discuss her journey to becoming a top-ranked Kaggler, and the latest developments in machine learning and generative AI that have caught her attention.

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Turner Industries is leading the way in innovation and collaboration for their industry. Learn the keys to their leadership’s success in delivering their transformation from Microsoft 365 E5 to Google Workspace and find out about the collaborative organizational process they used to transform their business. Turner Industries has the right formula that you will not want to miss if learning how to transform your business is important to you.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Follow along as two Developer Relations Engineers work in real-time to develop a minimal viable Flutter app, backed by Firestore database through a Google Cloud Run-powered API. We'll see the Cloud Run developer experience, focusing on automation and error recovery to deploy a REST API. Based on this API, see how to develop a Flutter application showing the latest UI features.

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Get a behind-the-scenes look at the bold initiatives transforming higher education at both Adtalem and Purdue University Global. Steven Tom, SVP & Chief Customer Officer at Adtalem will share the evolution from their first Gen AI learning tutor “Julian” to the AI initiatives happening today. Tim Werth, CIO of Purdue University Global, will share how they built an AI based learning assistant for students. Join us to see what the next generation of classrooms may look and feel like! Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join us for this session where we will explore key MongoDB Atlas features including Data Federation, Atlas Triggers, and GraphQL API. We will also dive deep into MongoDB Atlas and Google Cloud integrations, such as Vertex AI and BigQuery, and how you can leverage these tools to build and scale your apps. Leave with actionable insights on how you can build with MongoDB Atlas on Google Cloud and explore what our Startup Program can do for you.

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Stop juggling security tools and start focusing on your business: Discover how Deloitte Managed Cybersecurity Services seamlessly integrates Google Cloud Security and top security solutions to streamline your Security Operations. Slash security risks, cut costs, and get protected in under 60 days. Find out how this powerful combination can protect your business, both now and in the future with Gemini.

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Learn how to get the most out of your CI/CD tools through new features. Find out the latest product updates to create secure and reliable application repositories, builds, and deployments.

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Google AI and Vertex AI are two Google Cloud platforms that allow developers to access the Gemini API. In this session, developers will learn what is possible to do today, and they will see some sneak peeks about what is coming.

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Kevin A. “KAM” McGrail KAM will start with a foundation on what Artificial Intelligence is, its impact on the CIA security model, & a quick history lesson about AI-Enabled cyberattacks. He will then discuss other problems including discussing AI policy & the new Shadow IT threat AI tools present. Finally, Kevin will discuss a few key solutions including using his signature, "Think Evil" process for cybersecurity. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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