Apoorva Kulkarni

You want to adopt agentic AI, but with hundreds of applications at different maturity levels, knowing where to start is the real challenge. In this chalk talk, we'll work through a practical framework for turning AWS Transform's automated agentic readiness and modernization analyses into a phased transformation plan.

As organizations scale AI/ML operations, they can leverage the optimized infrastructure of SageMaker HyperPod or build custom workflows on Amazon EKS. In this session, we'll demonstrate how these approaches represent complementary paths to AI success.

Ready to run GenAI workloads on Kubernetes without the operational complexity? Join this chalk talk to learn how Amazon EKS Auto Mode simplifies the journey from concept to production for your GenAI projects.

Some of the most innovative AWS customers are using Amazon EKS to train, fine-tune, and serve cutting-edge generative AI models. In this workshop, learn how to serve fine-tuned models with vLLM and Ray Serve for a high-performance solution and be cost effective with Karpenter for right-sized accelerated compute.

Unlock the full potential of large language model (LLM) inference on Amazon EKS using leading open source frameworks. Learn to construct highly scalable, GPU-accelerated clusters with Amazon EKS–optimized AMIs and NVIDIA CUDA runtimes.

Some of the most innovative AWS customers are using Amazon EKS to train and run inference for cutting-edge generative AI workloads. In this workshop, learn how to get started with LLM training and serving on EKS.

In this builders’ session, learn about using Amazon EKS Blueprints for Terraform to configure and deploy “batteries-included” Amazon EKS clusters. Dive deep into EKS Blueprints code and learn to deploy security-compliant EKS clusters with managed node groups and AWS Fargate profiles.