Media Summary: Curious how to apply resource-intensive generative AI models across massive datasets without breaking the bank? This session ... Tired of struggling with unstructured text data across millions of documents? In this demo, we'll show you how Ever wondered how industry leaders handle thousands of ML predictions per second? This session reveals the architecture ...
Scaling Llm Workloads With Serverless Batch Inference On Databricks - Detailed Analysis & Overview
Curious how to apply resource-intensive generative AI models across massive datasets without breaking the bank? This session ... Tired of struggling with unstructured text data across millions of documents? In this demo, we'll show you how Ever wondered how industry leaders handle thousands of ML predictions per second? This session reveals the architecture ... Discover how to build AI agents tailored to your business data in this 5-minute demo. We'll show how Training modern Deep Learning models in a timely fashion requires leveraging GPUs to accelerate the process. Ensuring that this ... Speaker: Maksim Khadkevich, Sr. Software Engineering Manager, Dynamo, NVIDIA Khadkevich discusses data center
Ask questions from a panel of data science experts who have deployed LLMs and AI models into production. Talk by: David Talby, ... Watch me go from zero to a fully deployed 32B parameter model with reasoning capabilities in under 60 seconds.
