Amazon EC2 customers

General computing

Amazon Elastic Compute Cloud (Amazon EC2) provides the broadest and deepest choices of compute, memory and networking resources for a variety of diverse workloads. 

  • Acquia

    Acquia is the leading open digital experience company. The company provides the world’s most ambitious brands with technology that allows them to embrace innovation and create customer moments that matter. Enterprise companies use Acquia to build, operate, and optimize websites on the only Digital Experience Platform for Drupal. Recently, Acquia refreshed their Amazon EC2 fleet, and the results deeply improved capacity and time to results for Acquia’s customers.

    We can rely on AWS for best-in-class cloud computing power. AWS services, like Amazon EC2, enable our customers to innovate with enterprise scale, security, and reliability all over the world. By running our platform on the latest Amazon EC2 generations, Acquia customers realize up to a 60 percent performance improvement in page load times. These performance improvements on the newest AWS instances allow our customers to achieve even better experiences and innovate faster.

    Christina Dulude, Manager, Technical Account Management - Acquia
  • Allergan

    When the business says ‘go,’ we can do that now. We can stand up virtual servers instantly, instead of taking several weeks, whenever we need more compute and storage capacity to support new websites or online marketing campaigns.

    Tomasz Kozlowski, Associate Director, Enterprise Architecture - Allergan
  • Orangetheory Fitness

    Orangetheory Fitness (OTF) is a science-backed, technology-tracked, coach led fitness franchise. The company offers high-tech group workouts that combine high intensity interval training designed to improve strength and cardio fitness levels. During each workout, members receive multiple readings per second in real time, and then receive a workout summary after class with vitals and stats. Amazon EC2 helps OTF run these latency sensitive calculations to provide OTF customers with the most effective and informative workout possible. Before turning to AWS over Azure in 2017, OTF's growth was constrained due to their technology strategy of local databases in each studio and middleware platform for data aggregation. Since that critical decision to move into the cloud on AWS, OTF has scaled out and doubled their studio count. Using a combination of Amazon EC2 instances, OTF has been able to maintain its growing infrastructure with a very small team. OTF saves time and money, as it can comfortably rely on the capacity, performance and scalability of Amazon EC2 to accommodate over 100,000 daily active users in over 1,000 studios. OTF is able to scale out both horizontally and vertically, faster and easier than ever before, to handle more customer load and support more complex workloads.

    AWS EC2 has allowed us to support a very fast growing number of clients without the need to pre-plan capacity. We are able to automate the provisioning and deployment of servers with a very small staff. This automation has also allowed us to save time and cost by not needing to patch servers once they are in use, we simply terminate the old ones and provision new ones with the latest bits.

    Pedro Gonzalez, Enterprise Solutions Architect - Orangetheory Fitness
  • Reamp

    One of my main duties is to find new ways to reduce costs, while maintaining the same performance levels. Reamp achieved that by using Amazon EC2 A1 instance types.

    Emmanuel Santana, CTO - Reamp

Accelerated computing

Accelerated computing instances use hardware accelerators, or co-processors, to perform functions, such as floating point number calculations, graphics processing, or data pattern matching, more efficiently than is possible in software running on CPUs.

  • Nanotronics

    Nanotronics uses a wide range of machine learning techniques that encompass reinAI in microscopes to catch microscopic defects in a manufacturing line of products such as microchips and nanotubes. The customer leverages Amazon EC2 P3 instances powered by NVIDIA to expedite processing jobs and achieve more accurate detection rates. With P3 instances coupled with NVIDIA Tesla V100 Tensor Core GPUs, Nanotronics is able to detect microscopic defects up to 15% more accurate than humans and process tens of thousands of images quickly and dynamically according to their own customer demand. These capabilities help Nanotronics provide the best products for its customers.

    Amazon AWS P3 instances allow our research group to quickly prototype and validate deep learning models. We are able to build, test and deploy models faster than ever before.

    Vadim Pinskiy, Vice president of research & development - Nanotronics
  • Toyota Research Institute

    Using Amazon EC2 P3 instances, we reduced the time to train our models by 75%. This significantly accelerates our research and development velocity as we can quickly incorporate new data and retrain models, explore ideas, increase model accuracy, and introduce new features faster.

    Adrien Gaidon, PhD, Machine Learning Lead - Toyota Research Institute
  • Zendesk

    The flexibility and power we get from AWS have helped Zendesk push past the cutting edge of deep-learning technology in the customer-service space.

    Arwen Griffioen, Data Scientist - Zendesk
  • Computer Vision Lab

    Jump! is a startup focusing on the design and deployment of efficient deep learning networks on smartphones. The innovative technology accelerating neural networks is designed by Jump! to bring artificial intelligence and machine learning to smartphones and improve user experience.

    We use Amazon EC2 P3 instances and EBS block storage service to develop network compression methods for accelerating the inference of neural networks. These AWS products allow us to run such compute-intensive tasks as image classification and investigation of large scale deep learning networks. It takes 60% less time to complete our algorithms with Amazon EC2 P3 instances as opposed to other less powerful alternatives. The AWS products are also easy to use - we can run Amazon EC2 instances just like a Linux computer! Also, the AWS support team has been very helpful and fast in addressing our questions.

    Yawei Li, Chief Scientist

Cost & capacity optimization

Amazon EC2 is free to try. There are four ways to pay for Amazon EC2 instances: On-Demand, Reserved Instances, and Spot Instances. You can also pay for Dedicated Hosts which provide you with EC2 instance capacity on physical servers dedicated for your use. Visit the EC2 Spot customer testimonials page for additional customer feedback.

  • Cathay Pacific

    Cathay Pacific is an international airline that offers scheduled passenger and cargo services to nearly 200 destinations in 49 countries and territories.

    We looked at many public clouds but AWS scored most highly against our key criteria, which included stability, security, and breadth of services.

    Lawrence Fong, GM IT Solutions - Cathay Pacific
  • Lyft

    By using AWS Spot instances, we've been able to save up to 75 percent a month simply by changing four lines of code. It makes perfect sense for saving money when you're running continuous integration workloads or pipeline processing.

    Matthew Leventi, Lead Engineer - Lyft
  • Redfin

    By using AWS, Redfin can innovate quickly and cost effectively with a small IT staff while managing billions of property records. he company runs its entire business analytics operation on AWS, using a range of services, including Amazon S3, Amazon DynamoDB, Amazon Redshift, Amazon Kinesis, Amazon Elastic MapReduce, and Amazon EC2 instances, which run on the latest Intel Xeon processors.

    Read case study

  • Salesforce

    Salesforce DMP, part of Salesforce Marketing Cloud, has acquired and scaled a global customer base without any concern about the limitations on the amount of data it can process. This is true even as our platform captures data from interactions from about three billion devices and about 40 billion page views each month. AWS has provided the tools to make this happen.

    Roopak Gupta, Vice President Software Engineering - Salesforce DMP

High performance computing

AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. Visit the HPC customers page for additional customer feedback and case studies.

  • BP

    When you can dissolve the barrier that often exists between your IT organization and the business, that's when magic really starts to happen. The speed and elastic capacity that we get from the AWS Cloud—for both Spiral Suite and for the many other workloads we are now running there—are massively changing and transforming how we operate today.

    Claire Dickson, CIO - BP downstream segment
  • DNAnexus

    DNAnexus chose Amazon Web Services (AWS) as its cloud provider because AWS could deliver tens of thousands of compute cores, store petabytes of data, and offer the reliability, security, and compliance required for highly complex and sensitive research activities.

    Read case study

    The management and analysis of genomic data at the scale needed to power large-scale genome studies requires computational and storage infrastructure that exceeds the capacity of most institutions

    Richard Daly, CEO - DNAnexus
  • Volkswagen

    The hardware and software combination we explored with Altair on AWS is, in our opinion, ideal for generating training data sets for machine learning methods, like Reduced Order Modeling. It will be the enabling technology for a systematic transition from individual simulations to interactive optimization of entire design spaces – with obvious advantages for the efficiency of our development process and the quality of our products.

    Dr. Henry Bensler, Head of CAE Methods - Volkswagen Group Research