Containers

Tag: nvidia

Amazon EKS optimized Amazon Linux 2023 accelerated AMIs now available

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 […]

Building multi-tenant JupyterHub Platforms on Amazon EKS

Introduction In recent years, there’s been a remarkable surge in the adoption of Kubernetes for data analytics and machine learning (ML) workloads in the tech industry. This increase is underpinned by a growing recognition that Kubernetes offers a reliable and scalable infrastructure to handle these demanding computational workloads. Furthermore, a recent wave of Generative AI […]

Using Amazon ECS with NVIDIA GPUs to accelerate drug discovery

Using Amazon ECS with NVIDIA GPUs to accelerate drug discovery

This post was written in collaboration with Neel Patel, Drug Discovery Scientist, Nvidia. Drug discovery is the process through which potential new medicines are identified. It involves a wide range of scientific disciplines, including biology, chemistry, and pharmacology, as well as computer science. AstraZeneca and NVIDIA collaborated on developing MegaMolBART so the computational drug discovery process […]

title image: Announcing NVIDIA GPU support for Bottlerocket on Amazon ECS

Announcing NVIDIA GPU support for Bottlerocket on Amazon ECS

Last year, we announced the general availability of the Amazon Elastic Container Service (Amazon ECS)-optimized Bottlerocket AMI. Bottlerocket is an open source project that focuses on security and maintainability, providing a reliable and consistent Linux distribution for hosting container-based workloads. Now, we are happy to announce that you can now run ECS NVIDIA GPU-accelerated workloads […]

Bottlerocket support for NVIDIA GPUs

Today, we are happy to announce that Bottlerocket, a Linux-based, open-source, container-optimized operating system, now supports NVIDIA GPUs for accelerated computing workloads. You can now use NVIDIA-based Amazon Elastic Compute Cloud (EC2) instance types with Bottlerocket to accelerate your machine learning (ML), artificial intelligence (AI), and similar workloads that require GPU compute devices. This release […]

Amazon ECS Anywhere Overview

Running GPU-based container applications with Amazon ECS Anywhere

Tens of thousands of customers have already migrated their on-premises workloads to the cloud for the past decade, however we’ve also seen a number of workloads that are not simply able to move to the cloud. Rather, those workloads are needed to remain on-premise due to data residency, network latency, regulatory, or compliance considerations. Back […]

Deploying managed P4d Instances in Amazon Elastic Kubernetes Service with NVIDIA GPUDirectRDMA

In March 2021, Amazon EKS announced support for Amazon EC2 P4d instances, enabling you to launch a fully managed EKS cluster based on the latest NVIDIA A100 GPUs. Amazon EC2 P4d instances are the next generation of GPU-based instances that provide the best performance for machine learning (ML) training and high performance computing (HPC) in […]

Utilizing NVIDIA Multi-Instance GPU (MIG) in Amazon EC2 P4d Instances on Amazon Elastic Kubernetes Service (EKS)

In November 2020, AWS released the Amazon EC2 P4d instances. The Amazon EC2 P4d instances deliver the highest performance for machine learning (ML) training and high performance computing (HPC) applications in the cloud. This instance comes with the following characteristics: Eight NVIDIA A100 Tensor core GPUs 96 vCPUs 1 TB of RAM 400 Gbps Elastic […]