Distill Cost-Efficient Models with NVIDIA Data Flywheel Blueprint

Learn how to build cost-efficient AI agents by distilling knowledge from large models into smaller, faster alternatives using the NVIDIA Data Flywheel Blueprint in this comprehensive webinar. Explore the challenges of inference cost and latency when deploying large models at enterprise scale, and discover how NVIDIA's open reference architecture built on NeMo microservices enables you to create more sustainable AI solutions. Master the process of leveraging real agent interaction data from production environments to train smaller models that maintain performance while reducing operational costs. Understand the practical implementation of knowledge distillation techniques and how to optimize your AI infrastructure for both performance and cost-effectiveness in enterprise deployments.