Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
Learn more about Amazon EC2 by viewing the videos on this page which cover a variety of topics.
AWS re:Invent 2023 Videos
Learn about the latest innovations from AWS. Find out how you can take advantage of recent Amazon EC2 launches, how to better understand Amazon EC2 instances, and how you can use instances to deliver on your pricing, performance, and sustainability goals.
Discover untapped Amazon EC2 savings through AWS services, tools, and optimization strategies. In this session, learn best practices to reduce your compute costs on AWS. Explore both technical and non-technical approaches, from the basics of AWS Savings Plans and Amazon EC2 Auto Scaling to more advanced strategies like Amazon EC2 Spot Instances, AWS Graviton, automation, and more. Let this session be your guide to building cost-effective, sustainable infrastructure on AWS.
The AWS Nitro System is a rich collection of building block technologies, including AWS-built hardware offload and security components, that is powering the next generation of Amazon EC2 instances with an ever-broadening selection of compute, storage, memory, and networking options. In this session, dive deep into the Nitro System, review its design and architecture, explore new innovations to the Nitro platform, and see how it has made the seemingly impossible, possible.
To help you realize the promise of generative AI, AWS provides highly performant, scalable, and cost-effective machine learning infrastructure. From the latest GPUs to purpose-built accelerators AWS Trainium and AWS Inferentia, from 3,200 Gbps of Elastic Fabric Adapter networking to hundreds of Gbps of data throughput with Amazon FSx for Lustre, AWS is the best place to train and deploy models in the cloud. In this session, get a close look at the innovation across AWS infrastructure and hear from AWS customers about how they built, deployed, and scaled large text and image generation models across various products and services.
AWS Graviton–based Amazon EC2 instances provide the best price performance for workloads in Amazon EC2. In this session, explore AWS Graviton processors and review workload performance, AWS customer success stories, energy efficiency, and software offerings. Learn about best practices to optimize workloads on AWS Graviton across various applications and how you can get started with your AWS Graviton journey.
AWS experts dive deep on several use cases that demonstrate the ability to provide AWS wherever you need it—from the cloud to on-premises locations to the edge. These use cases include operating on factory floors, on oil and gas rigs, at mining sites, in hospitals, on moving vehicles, and more. In this session, learn about the AWS services that extend AWS, including AWS Snowball Edge, AWS Outposts, and AWS Local Zones, to support virtually any workload, almost anywhere in the world, including remote and edge locations.
More AWS re:Invent 2021 Videos
- New EC2 storage optimized instances and parallel file system (PFS) on AWS
- Introducing AWS Trainium-based Amazon EC2 Trn1 instances
- Harnessing the power of edge computing to innovate
- Build native Apple silicon apps with EC2 M1 Mac instances, ft. Goldman Sachs
- HPC on AWS: Innovating without infrastructure constraints
- Optimizing resource efficiency with AWS Compute Optimizer
- Accelerate innovation with AWS ML infrastructure services
- The future of HPC is looking a lot like ML
- Introducing AWS Outposts servers
- Architecting for data residency on AWS Outposts
- Build smarter applications on Verizon 5G Edge with AWS Wavelength
- Risk calculations using HPC and Spot Instances with Morgan Stanley
- How to select Amazon EC2 GPU instances for deep learning (sponsored by NVIDIA)
- Explore more AWS Videos