AWS Compute Blog

Tag: GPU

Architecture Diagram depicting the integration between AWS Systems Manager with RunCommand Arguments stored in SSM Parameter Store, your Amazon GPU enabled EC2 instance with installed Amazon CloudWatch Agen­t, and Amazon CloudWatch Dashboard that aggregates and displays the ­reported metrics.

Optimizing GPU utilization for AI/ML workloads on Amazon EC2

­­­­This blog post is written by Ben Minahan, DevOps Consultant, and Amir Sotoodeh, Machine Learning Engineer. Machine learning workloads can be costly, and artificial intelligence/machine learning (AI/ML) teams can have a difficult time tracking and maintaining efficient resource utilization. ML workloads often utilize GPUs extensively, so typical application performance metrics such as CPU, memory, and […]

GPU workloads on AWS Batch

Contributed by Manuel Manzano Hoss, Cloud Support Engineer I remember playing around with graphics processing units (GPUs) workload examples in 2017 when the Deep Learning on AWS Batch post was published by my colleague Kiuk Chung. He provided an example of how to train a convolutional neural network (CNN), the LeNet architecture, to recognize handwritten digits […]

Scheduling GPUs for deep learning tasks on Amazon ECS

This post is contributed by Brent Langston – Sr. Developer Advocate, Amazon Container Services Last week, AWS announced enhanced Amazon Elastic Container Service (Amazon ECS) support for GPU-enabled EC2 instances. This means that now GPUs are first class resources that can be requested in your task definition, and scheduled on your cluster by ECS. Previously, […]

Running GPU-Accelerated Kubernetes Workloads on P3 and P2 EC2 Instances with Amazon EKS

This post contributed by Scott Malkie, AWS Solutions Architect Amazon EC2 P3 and P2 instances, featuring NVIDIA GPUs, power some of the most computationally advanced workloads today, including machine learning (ML), high performance computing (HPC), financial analytics, and video transcoding. Now Amazon Elastic Container Service for Kubernetes (Amazon EKS) supports P3 and P2 instances, making […]

Deploy an 8K HEVC pipeline using Amazon EC2 P3 instances with AWS Batch

Update – April 14, 2020: AWS Elemental MediaConvert now supports 8K UHD video encoding. 8K encoding is available in the MediaConvert on-demand, professional tier, for resolutions up to 8192 x 4320 using HEVC encoding at 10-bit including HDR. To learn more, please visit https://aws.amazon.com/about-aws/whats-new/2019/11/8k-resolution-encoding-now-available-with-aws-elemental-media-convert/. Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services AWS provides several […]

Building a GPU workstation for visual effects with AWS

Contributed by Mike Owen, Solutions Architect, AWS Thinkbox The elasticity, scalability, and cost effectiveness of the cloud value proposition is attractive to media customers. One of the key design patterns in media and entertainment (M&E) workloads is using the cloud as a content lake and bringing the underlying processes closer without having to synchronize data. […]

Deploying a 4x4K, GPU-backed Linux desktop instance on AWS

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services AWS currently supports many managed des­ktop delivery mechanisms. Amazon WorkSpaces and Amazon AppStream 2.0 both deliver managed Windows-based machine images with GPU-backed instances. However, many desktop services and applications are better served through a Linux backed instance. Given the variety of Linux distributions as well […]