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. 

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How can you distill enormous volumes of disparate data and use it to surprise and delight your customers? How are you evolving your infrastructure and processes to support greater demands to use data faster and more productively? From the playing field to the racetrack, leading organizations like the MLB, Golden State Warriors, McLaren, and LA Rams grapple with massive volumes of data. This customer panel brings together technology leaders to discuss the universal challenges along with their innovative solutions for maximizing the value of big data and AI across their businesses.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

This session is ideal for anyone who wants to better understand their Google Cloud costs at a granular level, and optimize their expenses with prebuilt templates attendees can use to plug in their own Google Cloud data. We’ll explore how to export billing data to BigQuery; how to use metrics in observability analytics to join with billing and create a granular cost breakdown; and how to use this data to save money. We’ll provide a demo and example template that attendees can immediately apply to their production environment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.