Tag: nvidia

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]