Category: Artificial Intelligence

In this post, we show you how to swiftly deploy inference workloads on EKS Auto Mode and demonstrate key features that streamline GPU management. We walk through a practical example by deploying open weight models from OpenAI using vLLM, while showing best practices for model deployment and maintaining operational efficiency.

In this post, we explore how Amazon EC2 P6e-GB200 UltraServers are transforming distributed AI workload through seamless Kubernetes integration, featuring NVIDIA GB200 Grace Blackwell architecture that enables memory-coherent domains of up to 72 GPUs. The post demonstrates how Dynamic Resource Allocation (DRA) on Amazon EKS enables sophisticated GPU topology management and cross-node GPU communication through IMEX channels, making it possible to efficiently train and deploy trillion-parameter AI models at scale.

This post was co-authored by Shyam Jeedigunta, Principal Engineer, Amazon EKS; Apoorva Kulkarni, Sr. Specialist Solutions Architect, Containers and Raghav Tripathi, Sr. Software Dev Manager, Amazon EKS. Today, Amazon Elastic Kubernetes Service (Amazon EKS) announced support for clusters with up to 100,000 nodes. With Amazon EC2’s new generation accelerated computing instance types, this translates to […]

We’re excited to announce that Amazon Elastic Kubernetes Service (Amazon EKS) now supports up to 100,000 worker nodes in a single cluster, enabling customers to scale up to 1.6 million AWS Trainium accelerators or 800K NVIDIA GPUs to train and run the largest AI/ML models. This capability empowers customers to pursue their most ambitious AI […]

This blog post was jointly authored by Vara Bonthu, Principal OSS Specialist Solutions Architect and Omri Shiv, Senior Open Source ML Engineer Introduction We’re excited to announce the launch of AI on EKS: a new open source initiative from Amazon Web Services (AWS) designed to help customers deploy, scale, and optimize artificial intelligence/machine learning (AI/ML) […]

This blog is authored by Colin Putney (ML Engineer at Vannevar Labs), Shivam Dubey (Specialist SA Containers at AWS), Apoorva Kulkarni (Sr.Specialist SA, Containers at AWS), and Rama Ponnuswami (Principal Container Specialist at AWS). Vannevar Labs is a defense tech startup, successfully cut machine learning (ML) inference costs by 45% using Ray and Karpenter on Amazon Elastic Kubernetes Service (Amazon EKS). […]

Introduction Earlier this year we announced support for Amazon EKS optimized AL2023 AMIs that provided many enhancements in terms of security and performance. Amazon Linux 2023 (AL2023) is the next generation of Amazon Linux from Amazon Web Services (AWS) and is designed to provide a secure, stable, and high-performance environment to develop and run your […]

Many organizations are building artificial intelligence (AI) applications using Large Language Models (LLMs) to deliver new experiences to their customers, from content creation to customer service and data analysis. However, the substantial size and intensive computational requirements of these models may have challenges in configuring, deploying, and scaling them effectively on graphic processing units (GPUs). […]

Cloud technologies are a rapidly evolving landscape. Securing cloud applications is everyone’s responsibility, meaning application development teams are needed to follow strict security guidelines from the earliest development stages, and to make sure of continuous security scans throughout the whole application lifecycle. The rise of generative AI enables new innovative approaches for addressing longstanding challenges with […]

Introduction Quora is a leading Q&A platform with a mission to share and grow the world’s knowledge, serving hundreds of millions of users worldwide every month. Quora uses machine learning (ML) to generate a custom feed of questions, answers, and content recommendations based on each user’s activity, interests, and preferences. ML drives targeted advertising on […]