Abhishek Nautiyal

Running AI and ML workloads in containers means choosing the right accelerator, keeping it busy, and scaling without paying for idle capacity or keeping users waiting. Amazon ECS Managed Instances manages the infrastructure lifecycle, so you can add GPUs and other accelerators to new or existing ECS clusters.

In the modern digital era, running artificial intelligence (AI) and machine learning (ML) workloads is essential for powering applications like image generation and natural language processing. In this session, learn techniques to maximize the performance and scalability of these workloads to meet dynamic demand.

Many successful large businesses rely on Amazon ECS to massively scale as their business demands increase. In this session, learn about capacity providers, service auto scaling, limits, and quotas, and consider best practices for building scalable infrastructure.