Ep.3-Build series: How to Deploy Distributed AI at Global Scale - Seguridad Mania.com - España y América Latina

Ready to upgrade your AI prototype? Join this practical session to master the strategic advantages of deploying distributed AI workloads at the edge. Let our speakers demonstrate how to leverage Akamai Inference Cloud and distributed infrastructure to transform AI workloads into globally distributed, production-ready applications. Key takeaways include the technical blueprint and critical insights needed to: -Maximize Performance & Low Latency: Deploy inference endpoints closer to your users and data using Akamai Cloud’s globally distributed infrastructure. -Achieve Global Scale & Resilience: Orchestrate containerized AI applications across regions with Kubernetes. -Optimize Costs & Resources: See how Akamai Cloud delivers the computing primitives (including GPU instances, VM configurations, storage, etc.) for cost-efficient AI workloads. -Exercise Choice: Learn how to right-size your compute infrastructure to suit your AI workloads, optimizing for performance, cost, sovereignty, or any other business driver. This session is designed for technical leaders, ML engineers, platform teams, and DevOps professionals who are ready to deploy AI applications that scale globally on a distributed cloud.