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.
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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.
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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.

Migration can be challenging, but Google Cloud Migration Center is here to help. From discovery and analysis of your applications to definitions and cost estimates of your desired future cloud state and migration execution, Google Cloud’s easy-to-use, self-service migration tools pave the way for a smooth, efficient, and low-risk cloud migration. Come view demos of the latest workload migration capabilities and learn how Chicago Mercantile Exchange (CME Group) leveraged them to migrate their complex application portfolio to Google Cloud.

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.

Unlock the true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.

Agencies are applying cutting-edge technology to safeguard communities and resources, bolster emergency management, and streamline disaster response efforts. Learn how AI, predictive capabilities, real-time data analysis, and a modernized IT infrastructure can be used to build a more resilient future.

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!

See a live demo on how Dialpad streamlines communications and extracts real-time insights from business conversations. Our Ai-powered customer communications platform seamlessly combines contact center and sales-related functionality with voice, video, and messaging, empowering organizations to build stronger customer relationships. Come see how features, such as Ai CSAT, Ai Recaps, and Ai Playbooks, can transform your business outcomes.

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 future of AI is at the edge and edge inferencing is transforming industries. The power of an AI-ready data center, connected to Google Cloud, optimizes edge AI by bringing AI processing closer to all types of data sources for unprecedented speed and efficiency, enabling real-time insights. Success relies on low latency and high-performance physical infrastructure; Equinix's global network of 260+ AI-ready data centers in 73 metros securely connects clouds to customers, partners, and service providers to accelerate AI deployments.

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.