Category: Amazon Elastic Kubernetes Service

Running NVIDIA Cosmos world foundation models on AWS provides powerful physical AI capabilities at scale. This blog covers two production-ready architectures, each optimized for different organizational needs and constraints.

As climate change escalates, power infrastructure faces growing risks. Explore how the ClimateEarthDigitalTwin (CDT™) platform from riskthinking.AI leverages AWS HPC to assess these risks and enable resilience planning for the energy sector. Learn how this cutting-edge solution can safeguard your critical assets.

Exciting updates to AWS Batch on Amazon EKS! Configurable namespaces, persistent volume claims, and more. Check out our blog post to see how these features can help manage your complex containerized workloads.

Balyasny Asset Management (BAM), a $22B global investment firm, faced a unique challenge: how to empower 160 investment teams to conduct cutting-edge research across six strategies. Discover how they leveraged AWS Batch and Amazon EKS to supercharge their research capabilities.

Learn how to deploy AI models at scale with @AWS using NVIDIA’s NIM and Amazon EKS! This step-by-step guide shows you how to create a GPU cluster for inference in this second post of a two-part series!

AWS Batch multi-node parallel jobs can now run on Amazon EKS to provide gang scheduling of pods across nodes for large scale distributed computing like ML model training. More details here.

Today we show you how to get insights into the costs of running AWS Batch workloads on Amazon EKS using Kubernetes pod labels with Kubecost.

Today, we discuss AWS batch on Amazon EKS, and the initial motivation and design choices the team made when we developed the service, and some of the challenges to overcome.