Facing challenges with the cost and performance of your AI inference workloads? This talk presents TPUs and Google Kubernetes Engine (GKE) as a solution for achieving both high throughput and low latency while optimizing costs with open source models and libraries. Learn how to leverage TPUs to scale massive inference workloads efficiently.

In this session, we’ll bust AI myths and showcase how easy it can be to implement AI solutions. Learn how Google Cloud’s generative AI solutions help small IT teams automate customer service tasks, personalize interactions, and improve overall efficiency. Learn from current Google Cloud partners and customers about how they approach building agents to empower growth and supercharge experiences for their customers.

Want to run AI workloads that are both performant and sustainable? Join L’Oreal and Google Cloud as they reveal how L’Oreal leverages Google Cloud’s powerful suite of tools to gain unprecedented insights into the cost, performance, and carbon footprint of their AI models. This session showcases how L’Oreal measures, reports, and reduces their environmental impact on Google Cloud, offering practical strategies and actionable takeaways for anyone looking to optimize their cloud efficiency and environmental responsibility.

In today's rapidly evolving digital landscape, modernizing mainframe systems is crucial for maintaining competitive advantage. This joint solution explores the transformative potential of migrating data warehouse extracts to Google Cloud Platform (GCP) and BigQuery. Utilizing the flexible framework built, organizations can achieve a flexible, integrated solution that accelerates time to market, ensures accurate and timely real-time data for reporting and advanced analytics, and provides self-service access. This digital transformation not only empowers stakeholders with enhanced capabilities but also significantly improves the overall customer experience.

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.

Find out how leading customers have successfully done large-scale VMware migrations to Google Cloud. Join us in this exciting customer panel to learn directly from Google Cloud VMware Engine customers about how they’ve successfully completed their VMware transformation journeys.

Companies in the fiercely competitive gaming landscape face constant pressure to create engaging and ever-evolving player experiences. Generative AI can help game developers craft more dynamic, personalized gameplay while reducing time to market. Major game studios are leveraging Google Cloud’s cutting-edge AI capabilities to create immersive player experiences, personalized chatbots, dynamic character interactions, and user-generated content. We’ll show you how you can use Google Kubernetes Engine to easily integrate gen AI with game servers.

In this hands-on lab, you'll learn how to create a cross-region HTTP(S) load balancer that intelligently distributes traffic to instances in multiple regions. By setting up four Compute Engine instances across two regions, you'll configure the load balancer to ensure seamless traffic routing to the right instance. This lab will help you optimize application performance, improve availability, and enhance fault tolerance across geographically distributed systems.

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 & deploy with Google Cloud Deploy! This hands-on lab equips you to create delivery pipelines, deploy container images to Artifact Registry, and promote applications across GKE environments.

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!

This session will cover how to optimize remote sensing data analysis using Ray, Kubeflow, and Google Cloud Platform (GCP). Learn how to leverage distributed computing, orchestration workflows, and xarray for efficient processing of geospatial data from Unmanned Aerial Systems (UAVs), LiDAR (Light Detection and Ranging), and Ground Penetrating Radar (GPR). Attendees will gain practical insights into building scalable, cloud-native pipelines that accelerate data processing and deliver faster, more actionable insights.

Building AI solutions on Google Cloud? This session demystifies our AI infrastructure stack, from pretrained models like Gemini to the Vertex AI managed platform, and all the way down to DIY container runtimes and virtual machines (VMs). Learn how to choose the right level of abstraction for your AI and machine learning (ML) workloads, and leverage the full power of Google Cloud’s AI ecosystem.

This session will demonstrate how AMD EPYC™ powered Google Cloud instances can transform your IT strategy — whether you are leveraging them for general IT, line-of-business, or high-performance computing (HPC) workloads. Join us to delve into the specifications of the latest Google Cloud VMs built on AMD technology. Learn how these advanced instances deliver unparalleled performance for your investment while we demonstrate how to structure your Google Cloud deployment for optimal efficiency and performance.

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.

Choosing the right cloud infrastructure can make or break your business strategy. Join us in this enlightening session to explore how tech-savvy individuals and enterprises alike have done the math and chosen AMD EPYC™-powered Google Cloud instances. We’ll dive into real-world customer success stories and showcase the latest virtual machines from Google Cloud and AMD. Discover how these cutting-edge products can help you deploy innovative AI applications that drive business growth, while ensuring cost and energy efficiency.

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.

The payments landscape is being redefined. Stripe’s $1 billion acquisition of Bridge signals a seismic shift toward stablecoins for business-to-business transactions. Join industry leaders to unpack the explosive growth of stablecoins, the challenges to adoption, and the future of blockchain-based payments. Will a single stablecoin dominate, or will a multicoin ecosystem prevail? Don’t miss this insightful discussion shaping the future of money.

See how a small team can leverage Google Cloud to serve millions. As the former lead of Flutter and mobile-specialist, I started with little knowledge of Cloud. Using Google's Dart and Google Cloud, we've built a successful service across Cloud Run, Compute Engine, Big Query, Storage, CDN and more and here to share our learnings.

This hands-on lab guides you through building a captivating generative AI application using the Gemini API in Vertex AI. You'll leverage the Streamlit framework to create an interactive interface for generating stories, providing a seamless user experience. After testing your application locally in Cloud Shell, you'll deploy it to Cloud Run for scalable and reliable serving. This hands-on experience equips you with the skills to integrate Gemini with user interfaces and efficiently deploy your AI 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!

Managing massive deployments of accelerators for AI and high performance computing (HPC) workloads can be complex. This talk dives into running AI-optimized Google Kubernetes Engine (GKE) clusters that streamline infrastructure provisioning, workload orchestration, and ongoing operations for tens of thousands of accelerators. Learn how topology-aware scheduling, maintenance controls, and advanced networking capabilities enable ultralow latency and maximum performance by default for demanding workloads like AI pretraining, fine-tuning, inference, and HPC.

Join this session where Shopify engineers will discuss how they leverage the latest Google Kubernetes Engine (GKE) innovations to build robust, scalable platforms that not only handle everyday traffic with ease but also gracefully absorb unpredictable spikes during peak events like Black Friday and Cyber Monday. Learn key architectural patterns, smart infrastructure choices, and proven best practices. Discover how to optimize resource utilization, control costs, and deliver cost-effective performance every time.

The first Google Axion virtual machine (VM), C4A, provides the best price performance for general purpose workloads in the industry, but don’t take it from us. We’ll share how Axion benchmarks for key workloads. Then, we’ll take a deeper look at leading customers using Google Axion VMs. They’ll discuss their use cases and how they architected their stack to run on Arm VMs, providing valuable tips for other customers considering a similar transition.

Default service accounts in Google Cloud have been an area of interest for threat actors. Cloud administrators can sometimes grant unintentionally broad permissions through this mechanism to their workloads, such as virtual machines and Kubernetes clusters. In this talk, we will discuss the role of default service accounts in Google Cloud Compute Engine (GCE) and Google Cloud Kubernetes Engine (GKE), and best practices for managing and securing them.

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.

Enterprise mission-critical workloads require efficient storage infrastructure that gives the right performance and capacity along with high levels of data protection. Explore Google Cloud’s data protection solutions with the advanced data protection of Google Cloud Hyperdisk and Backup and DR Service. We’ll dive into local protection, regional protection, and immutable and indelible protection for critical applications. Learn from BlackLine, a leading cloud financial software provider, about how they are protecting their business-critical application effectively.