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NVFLARE 2026 Q2 Webinar: From Static to Elastic: Enterprise FLARE on Kubernetes

Event artwork for NVFLARE 2026 Q2 Webinar: From Static to Elastic: Enterprise FLARE on Kubernetes

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About this event

What to expect

This online webinar explores enterprise-grade federated learning infrastructure with NVIDIA FLARE's native Kubernetes integration. If you're building distributed AI systems that need to scale across cloud and on-premises environments, this session reveals how to move from static deployments to elastic, production-ready federated learning infrastructure.

What You'll Learn

The webinar covers NVIDIA FLARE's deep integration with Kubernetes, focusing on practical deployment patterns for enterprise federated learning. You'll discover how to leverage elastic Server/Client Job Pods that scale dynamically based on workload demands, understand the decoupled control and execution architecture that enables more flexible system design, and learn about multi-project isolation features that strengthen security in shared infrastructure environments.

The session includes live demonstrations of Kubernetes deployment patterns, showing you exactly how FLARE workloads run in containerized environments. This hands-on demo portion bridges the gap between architectural concepts and real-world implementation, giving you concrete patterns you can adapt for your own federated learning projects.

Who Should Attend

This webinar is ideal for ML engineers and platform teams building distributed AI systems, DevOps professionals managing machine learning infrastructure, and technical leaders evaluating federated learning solutions for privacy-preserving AI. Whether you're already running NVIDIA FLARE or exploring federated learning for the first time, you'll gain practical insights into production deployment patterns.

Session Format

The 90-minute online session runs via Microsoft Teams and includes:

  • Deep dive into FLARE's native Kubernetes support with Q&A (30 minutes)
  • Live Kubernetes deployment demonstration (20 minutes)
  • New FLARE features showcase (35 minutes)
  • Interactive discussion throughout

You'll have opportunities to ask questions about your specific deployment scenarios and engage directly with experts who understand the complexities of federated learning at scale. The focus on both architectural concepts and hands-on demonstrations ensures you leave with actionable knowledge.

Why Kubernetes for Federated Learning

Kubernetes brings critical capabilities to federated learning deployments: elastic scaling to handle varying compute demands, consistent deployment patterns across diverse infrastructure, robust isolation between different projects and te

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