This talk explores a comprehensive key management strategy designed to safeguard your critical assets, now and in the future. We’ll focus on the foundation of modern key management, evolving cloud hardware security offerings, sovereign key management, and cloud key management. By combining the strengths of advanced hardware security module (HSM) technology, sovereign key management principles, and the flexibility of cloud environments, organizations can build a robust and future-proof security posture.

In today’s fast-paced market, data is key to innovation. This session explores how Apigee, combined with Google Distributed Cloud, enables organizations to unlock the value of their data, regardless of its location. Learn how to operationalize data across legacy systems, the cloud, and edge environments to build cutting-edge solutions like generative AI and advanced analytics. Discover how Apigee simplifies data accessibility and interoperability, accelerating your time to market and maximizing the potential of your data assets.

Build resilient, scalable applications that thrive in the face of increasing demands. Cloud SQL offers new features designed to optimize performance, availability, and cost efficiency for MySQL and PostgreSQL databases, managed replica pools, and connection pooling. Learn how to make downtime a thing of the past, implement advanced disaster recovery strategies, and maximize your application’s performance. Join our demo-packed session for a deep dive into these new Cloud SQL capabilities and best practices.

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!

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.

Scale your AI training and achieve peak performance with AI Hypercomputer. Gain actionable insights into optimizing your AI workloads for maximum goodput. Learn how to leverage our robust infrastructure for diverse models, including dense, Mixture of Experts, and diffusion. Discover how to customize your workflows with custom kernels and developer tools, facilitating seamless interactive development. You'll learn firsthand how Pathways, developed by Google Deepmind, enables large scale training resiliency, flexibility to express architecture.

Join an insightful fireside chat with Jeff Dean, a pioneering force behind Google’s AI leadership. As Google's Chief Scientist at DeepMind & Research, Jeff will share his vision on AI and specialized AI hardware, including Cloud TPUs seventh generation chip; Ironwood. What exciting things might we expect this to power? What drives Google’s innovation in specialized AI hardware? In this spotlight, we’ll also discuss how TPUs enable efficient large-scale training and optimal inference workloads including exclusive, never-before-revealed details of Ironwood, differentiated chip designs, data center infrastructure, and software stack co-designs that makes Google Cloud TPUs the most compelling choice for AI workloads.

This session provides a look into how Abridge built a secure and scalable inferencing platform on Google Kubernetes Engine (GKE). We’ll demonstrate how they leverage GKE fleets, Teams, Argo CD, and multi-cluster orchestration to manage and deploy inferencing workloads that span multiple clusters. View a live demo of a complete solution featuring a custom Argo CD plugin that simplifies cluster management and streamlines deployments for platform admins and application teams.

This session dives into the latest advancements in securing and managing your Cloud Run workloads at enterprise scale. Join us to learn about new features and techniques to meet the highest security standards, strategies for managing large-scale deployments, and solutions to common issues like IP exhaustion. Plus, one of our customers will share their firsthand experience managing a massive fleet of Cloud Run workloads.

In this session, we’ll explore Google’s latest developments in Google Kubernetes Engine (GKE) that enable unprecedented scale and performance for AI workloads. We’ll dive into how Anthropic leverages these capabilities to manage mega-scale Kubernetes clusters, orchestrate diverse workloads, and achieve breakthrough efficiency optimizations.

Is your platform ready for the scale of rapidly evolving models and agents? In this session, we’ll explore strategies for scaling your cloud native AI platform - empowering teams to leverage an increasing variety of AI models and agent frameworks. We’ll dive into tools and practices for maintaining control and cost efficiency while enabling AI engineering teams to quickly iterate on Google Kubernetes Engine (GKE). We’ll explore how NVIDIA NIM microservices deliver optimized inference with minimal tuning. 

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.

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

Deutsche Bank's Cloud Centre of Excellence is shaping the cloud strategy, advising, supporting, and governing the migration of hundreds of applications to Google Cloud. With EPAM's assistance, we've identified pain points and improved the migration process, making it faster, more cost-effective, more consistent, and of higher quality, achieving a 70% reduction in design duration. Join us to learn practical steps to accelerate your own cloud migration journey.

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.

Cross-Cloud Network, built on Google’s planet-scale network, has transformed how organizations connect and secure workloads, users, and data across hybrid and multicloud networks. It simplifies complexity, strengthens security, and helps deliver faster business outcomes. Join this session to learn about new innovations in 2025 with the Cross-Cloud Network that allow you to secure and optimize AI and machine learning (ML) workloads, connect global enterprises, expand network security to cover all threat vectors as you connect distributed multicloud apps, and deliver web and media workloads.

SQL Server workloads powering mission-critical applications demand high availability and disaster recovery configurations from the get-go. Users can choose to leverage the business continuity and disaster recovery (BCDR) capabilities in Cloud SQL for SQL Server. In this session, we’ll cover the basics of BCDR with Cloud SQL for SQL Server. We’ll highlight the architectural patterns that are best suited for different types of workloads while leveraging the latest enterprise-ready Cloud SQL innovations.

Looking to rapidly migrate your VMware estate on-premises or elsewhere to a cloud-integrated, Google-operated VMware platform that delivers 99.99% (four nines) availability of cluster-level uptime, flexible node configurations, and deeply integrated networking, along with high-bandwidth and low-latency access to other Google Cloud services? Want all this with minimal disruption to your existing tools or team’s skill sets? Join this session to get a primer on Google Cloud VMware Engine and its latest, learn from a leading customer about their transformation journey, and get started today.

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.

Is your business ready to embrace the software as a service (SaaS) revolution? Discover how Google Cloud can fast-track your SaaS journey. This session reveals how Google Cloud empowers you to scale your SaaS offerings, reduce time to market, and deliver exceptional customer experiences using a comprehensive toolbox with per-tenant controls, feature rollout management, and insightful monitoring. You’ll also learn from Avathon’s success story: how they leveraged these capabilities to conquer the complexities of SaaS management, automate tenant onboarding, and centralize operations.

Automation can help you migrate, coordinate and manage workloads in cloud environments in a simple and effective way, reducing complexity and operational costs. In this session we will cover: - How to increase speed and reduce errors as you migrate to Google Cloud - How Red Hat Ansible Automation Platform simplifies managing your Google Cloud infrastructure - Getting started automating Google Cloud cloud services with certified automation content for migration and management

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.

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.