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Event

Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

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130

Google Cloud Next Conference (25)

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Continuous delivery with Google Cloud Deploy

session

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!

Create a unified data platform with BigQuery

demo

Build an open, secure, and integrated AI data platform. Manage the end-to-end data life cycle with built-in governance.

Creating cross-region load balancing

session

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!

Delivering business value in the new agentic era (Recap)

session
Ignacio Garcia (Vodafone) , Semih Duru (Google Cloud) , Perry Nightingale (WPP) , Tim Mason (Deutsche Bank) , Vasu Gupta (Google Cloud)

This session provides strategies for maximizing business value with generative AI. We cut through the hype and offer actionable insights for building and deploying advanced gen AI business capabilities. We'll delve into strategies that our customers use to get the most out of their AI investment, explore the essential foundations for scaling up, and share a vision for the future of business operations transformed by agentic AI.

Deploy gen AI on-premises for financial services

demo

Bring generative AI capabilities to your local environment with Google Distributed Cloud. Maintain data residency without compromising on latency.

Deploy modern web apps with Firebase App Hosting

demo

Continuously deploy Angular and Next.js web apps to Google Cloud from a connected GitHub repository on each commit. Firebase App Hosting detects your framework, builds your app in Cloud Build, and deploys to Cloud Run behind Cloud CDN.

Dial an App: From idea to app, in just a short call

demo

From idea to app in minutes. Call our app-building AI agent, which will help you build a functional app over a short call, powered by Customer Engagement Suite with Google AI.

Ditch the frameworks and embrace core tech: Prototyping in the AI era (Recap)

session
Karl Weinmeister (Google)

The rise of AI-powered code generation tools presents a compelling alternative to traditional UI prototyping frameworks. This talk explores the question: Is it time to ditch the framework overhead and embrace core web technologies (such as HTML, CSS, JavaScript) for faster, more flexible prototyping? We’ll examine the trade-offs between structured frameworks and the granular control offered by a “bare metal” approach, augmented by AI assistance. Learn when leveraging AI with core tech becomes the smarter choice, enabling rapid iteration and bespoke UI designs, and when frameworks still reign supreme.

Drive decisions with real-time vehicle intelligence

demo

Transform vehicle operational data into actionable intelligence. Reduce maintenance downtime, optimize fleet operations, and make data-driven decisions through interactive diagnostics using Gemini models and BigQuery.

Enhance emergency response, anywhere

demo

Improve search and rescue readiness, even offline. Learn secure equipment maintenance practices for emergency operations.

Fast-track your AI SaaS journey on Google Cloud: A real-world story (Recap)

session
Adarsh Seetharam (Google Cloud) , Santosh Pant (Avathon) , Praveen Rajagopalan (Google Cloud)

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.

Geospatial Reasoning

demo

A reference implementation for analyzing geospatial data with generative AI. Combine Google’s unique ML models with your own data and Gemini’s reasoning capabilities to unlock powerful insights for crisis response, public health, climate resilience, and more.

GKE and AI Hypercomputer: Build a scalable, secure, AI-ready container platform (Recap)

session
Scott Dietzen (Augment Code) , Alex Spiridonov (Google Cloud) , Nathan Beach (Google Cloud)

This technical deep dive explores how small IT teams can leverage Google Kubernetes Engine (GKE) and AI Hypercomputer to build, refine, and optimize a cutting-edge, scalable, and secure container platform for AI workloads.

Google custom silicon

demo

Discover how Google’s custom-designed chips – including TPUs, Arm-based CPUs, and quantum processors – deliver cutting-edge performance and efficiency for your AI workloads.

How a global bank transformed their data estate with Teradata + Google (Recap)

session
Mike Hodges (HSBC) , Cameron Curtis (Teradata) , Ben Lewis (Teradata) , Stephen Orban (Google Cloud)

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Inference at scale with Google Cloud’s AI Hypercomputer (Recap)

session
Aditya Bindal (Contextual AI) , Reena Lee (Google Cloud) , Kirat Pandya (Osmos) , Juan Acevedo (Google Cloud)

Learn how to run high-throughput and low-latency inference on Google Cloud to maximize price-performance on TPUs and GPUs, leveraging JetStream and vLLM.

Ironwood TPUs and specialized AI Hardware: Jeff Dean on what’s next (Recap)

session
Sabastian Mugazambi (Google Cloud) , Jeff Dean (Google)

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.

Optimize application costs with Gemini Cloud Assist

demo

Optimize capacity allocation, workload performance, and cost of running applications with the help of AI.

Orchestrate sophisticated AI agents

demo

Explore how to use Google’s proprietary and open source frameworks to orchestrate agentic reasoning and complex workflows.

Orchestrating the Cloud with Kubernetes

session

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

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!

Power real-time analytics with Bigtable and BigQuery

demo

Unify your data warehouse and operational store for real-time insights. Use new innovations in Bigtable SQL and BigQuery.

PyTorch on Google Cloud: From experimentation to production (Recap)

session
Deepak Patil (Google Cloud) , Chris Chan (Google Cloud) , Joohoon Lee (Nvidia)

In this session learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training. Learn how to leverage open source tools to minimize downtime and ensure your deep learning workloads run smoothly.

Reduce emissions with Google Cloud Carbon Footprint

demo

Measure and reduce your emissions on GCP. Get actionable insights for sustainable cloud operations.

Reimagine marketing with data and gen AI

demo

Unleash fresh avenues for efficient marketing with data analytics and generative AI. Combine creativity with modern analytics to transform marketing workflows from real-time insights to AI-powered recommendations, segmentation, and image and video generation.