In this session, Andrew Sun, Director of Business Development for Retail Software and Cloud at NVIDIA will discuss the impact of GenAI on the retail market and its specific benefits its bringing to the clothing/sporting goods companies like Puma. In this session, we will also showcase some of the unique GenAI experiences Puma has built while leveraging GPUs on Google Cloud’s platform.

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.

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.

Ten years ago, Google Kubernetes Engine (GKE) was born! Since then, it has become the industry-leading managed Kubernetes platform, powering mission-critical workloads across all industries. But the innovations have just begun. Join this session to learn about the latest GKE features and upcoming innovations – such as next-generation autoscaling, lightning-fast node startup, and multi-cluster fleet management – that make GKE the best Kubernetes platform for the next generation of AI and modern workloads.

Ever wonder how Google Cloud supports billions of daily users worldwide? Dive into the world of Google’s cloud regions, global expansion, and data centers. This session unveils the innovative technology behind these modern marvels and the operational expertise that keeps them humming. Learn about our cutting-edge efficiency and state-of-the-art security. Discover how innovation and sustainability is key to our design and how you can apply Google’s best practices to your own infrastructure.

Supercharge your development workflows with Google Cloud’s internal developer platform (IDP). In today’s world of microservices and multi-region deployments, building and maintaining your own IDP can be complex. This talk unveils Google Cloud IDP – a game-changing solution that offloads development and operational burdens to Google Cloud, freeing your platform engineers and empowering developers to focus on what matters most: building amazing applications. Experience it in action with live product demos.

Optimize AI training, & inference with TPUs and GPUs - the purpose built accelerators behind AI Hypercomputer.

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

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.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

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.

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!

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!

Learn about new capabilities for dynamic scaling and self-healing large, physically co-located clusters to keep your nodes up and your latency down. 

Simplify AI inference using Cloud Run with GPUs and Google Axion Processors. Experience fast instance starts, rapid autoscaling, and scaling to zero with Cloud Run and optimize cost efficiency with Axion.

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.

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.

Discover how to use geospatial analytics to drive sustainability insights. See how Earth Engine, BigQuery and Google Earth empower any professional to unlock insights and make data-driven decisions, regardless of their expertise or training. 

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.

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

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!