Google Cloud App Dev & Infrastructure Summit

Architecting for long-term success is a massive balancing act – using new generative AI functionality for productivity, while optimizing your core applications for customers, and modernizing existing infrastructure to keep pace. Glean insights from Google leaders who have navigated this complex path firsthand. Discover the lessons they've learned, the cutting-edge innovations they're developing, and how their experiences become actionable strategies for your own organization.

Many technology teams are navigating a dual challenge: adopting the innovations of AI while ensuring efficiency and optimal utilization of existing infrastructure. Learn how to manage costs while enabling rapid prototyping and building AI applications for inference based on real-life Salesforce examples.

Did you know a ton of the Fortune 100 is using our next-gen IaaS for traditional workloads like SAP, Oracle, and Microsoft? It's true. Come learn why they're choosing Google and how they're optimizing for resilience and performance as a result.

Empower your organization by migrating VMware to Google Cloud. Learn how you can realize significant cost efficiencies, accelerate innovation cycles, and simplify IT management to free your business from the constraints of on-premises infrastructure.

App sprawl and migration to multiple clouds can degrade app performance for customers and internal teams. Google's Cross-Cloud Network can ease the pain with secure and scalable cloud networks to prioritize critical traffic, boost reliability, and control costs.

Building, deploying, and scaling software for thousands of clusters can be challenging. Managing hardware and software to support use cases like fast transactions, predictive analytics, and visual inspections, add to the complexity. Leverage AI-enabled cloud infrastructure, AI models, and on-premises computing to unlock business.

TPUs, GPUs, oh my! Build a scalable container platform for AI and all workloads, delivering value to your customers. Learn how our container platform delivers AI-optimized compute, storage, and network infrastructure fueling successful projects.

Enhance your applications with AI! Learn the technical aspects of integrating publicly available AI models like Gemma for cutting-edge customer experiences. Explore practical techniques for fine-tuning, optimizing performance, and ensuring safe AI usage. Seamlessly embed AI capabilities like personalized recommendations, intelligent chatbots, and content generation to create applications for users.

Technology teams are under immense pressure to deliver AI-powered applications quickly and efficiently, but complex infrastructure often hinders innovation and delays time to market. Your organization can unlock the full potential of serverless computing, accelerating AI-powered app deployments without sacrificing performance.

Driving application innovation is a priority for many, however, managing costs and optimizing existing resources is just as important. Learn how to strike that perfect balance by leveraging Gemini Code Assist and other SDLC tools for your developers.

There are many ways to build AI-enabled applications without the usual training and development process. Learn how to focus on fine-tuning and deploying open Gemma models using Google Kubernetes Engine (GKE) and Cloud GPUs. We will also demonstrate how to access open models and datasets on Kaggle, so your team can experiment and build new AI solutions.

Google Fellows are some of our longest tenured and most innovative technical leaders. Join this session for a rare look at the lessons they've learned, the cutting-edge innovations they're developing, and how you can translate those experiences into actionable strategies for your own organization.