More and more businesses are using Amazon EC2 Spot instances to run and scale their infrastructure cost-effectively. Here are some examples of how customers have achieved business agility, cost savings, and scale with EC2 Spot instances.

Launch an Amazon EC2 Instance for Free

Try Amazon EC2 for Free

AWS Free Tier includes 750 hours of Linux and Windows t2.micro instances each month for one year. To stay within the Free Tier, use only EC2 Micro instances.

View AWS Free Tier Details »

Guttman Labs (at CalTech)

The Guttman Lab at the California Institute of Technology (Caltech) chose EC2 Spot instances beacuse they needed a cost-effective, flexible, and elastic infrastructure solution for lab researchers to access large HPC clusters on the fly. Since they could launch and de-commission 1,000's of nodes on-demand, lab researchers could easily run multiple projects simultaneously, while reducing the time required to complete genomic sequencing from weeks to days. Learn more >>

TLG Aerospace

Seattle-based aerospace engineering company, TLG Aerospace, saves 75% on STAR-CCM+ computational fluid dynamics (CFD) simulations. EC2 Spot instances have enabled TLG to access more memory and cores at a lower cost, allowing them to scale the number and size of increasingly demanding simulations. Learn more >>


“Analytics is at the core of Lotame platform which helps our customers to maximize the value of data. We use Spot instances to run large-scale Big Data Analytics workloads. The new EC2 Spot Instances pricing model makes it even easier for us to acquire Spot capacity at predictable prices, giving us more confidence in the savings and stability we can get by moving additional workloads to Spot Instances.”


With over 800 million users, ironSource leverages Spot to scale their production environment quickly while saving up to 80%. ironSource powers their big data solution, ironsource Atom, with EC2 Spot so they can reliably handle any amount of data while reducing costs by tens of thousands of dollars. Learn more about how they did this >>

Fugro Roames

By using AWS and Amazon EC2 Spot Instances, Fugro Roames has enabled Ergon Energy to reduce the annual cost of vegetation management from AU$100 million to AU$60 million. Learn more >>

National Instruments

With Amazon EC2 Spot Instances, National Instruments easily saves 85–90% in costs and allowed them to quickly scale to meet current demands while avoiding additional headcount and procurement lag associated with expanding on-premises infrastructure.


Based in Tel Aviv, Inneractive is a mobile ad exchange that provides technologies for the buying and selling of mobile advertising space. By partnering with Spotinst and using Spot instances, Inneractive has saved 20-30% on their total AWS bill while maintaining performance of its platform. 


Lyft is a San Francisco-based ridesharing company that is on Fortune magazine’s “Unicorn” list of hot startups, with a valuation of $5.5 billion. By using AWS Spot instances, Lyft saves up to 90% percent a month simply by changing four lines of code. 


Gett is an Israeli-based startup that connects people with taxi drivers and runs its website and mobile app on several hundred Amazon Elastic Compute Cloud (Amazon EC2) instances. Gett chose to reduce some of its costs by taking advantage of Amazon EC2 Spot Instances. The company runs the Amazon Elastic MapReduce (EMR) service on Amazon EC2 Spot Instances to help them process huge amounts of data. Learn more >>


TellApart’s big data platform enables retailers to unlock the power of their customer data. They use Amazon Elastic MapReduce to bring up Hadoop clusters to batch process log data, and have reduced costs by 75% by using Spot Instances. Click here to learn more.


AdRoll is a global leader in ad retargeting, providing cross-platform reach across large display inventory sources and tools to enable personalized ad campaigns. AdRoll chose to run their business with Amazon EC2, S3, and DynamoDB, because of low latency, guaranteed throughput, and the ability to scale quickly. Additionally, they use Spot for variable capacity, allowing them to run workloads more quickly and efficiently at a lower cost. Read the case study to learn more.


NetSeer provides concept-based advertising solutions that match search queries and webpage content to relevant ads for advertisers and publishers.  Netseer uses Amazon EC2 Spot Fleet to launch and manage a collection of Spot Instances with one request. Read the case study to learn more.


BloomReach built a personalized discovery platform with applications for search, content marketing, and merchandizing. They launch up to 2,000 Amazon EMR clusters and run 6,000 Hadoop jobs every day. With Spot and Amazon EMR, they have increased efficiency while reducing costs. Learn more about how they did this on the AWS blog.


CoreLogic is the largest provider of property information, analytics and property-related risk management services in Australia and New Zealand. CoreLogic replaced their EC2 fleet with spot instances and use a worker pattern to reduce their compute costs by 90% Learn more.


“We use Spot instances to run our Jenkins code deployments and production web server workloads. The new EC2 Spot Instances pricing model makes it even easier for us to acquire Spot capacity at predictable prices, giving us more confidence in the savings and stability we can get by moving additional workloads to Spot Instances.”


Milk Visual Effects

Milk is a London-based visual effects (VFX) company with extensive television and film credits, having won an Academy Award for Best Visual Effects Ex Machina as well as multiple BAFTA awards for Doctor Who and other projects. Milk was also tasked with creating massive, and compute-intensive, ocean simulations and stormy seas for the feature film Adrift (released in 2018, starring Shailene Woodley). "The scope of the VFX work for Adrift was easily 10 times bigger than anything we'd tackled previously, and it wasn’t the only project we were working on. By using Deadline on AWS, our modest-sized team was easily able to generate a ton of work. The seemingly limitless capacity of AWS Thinkbox Deadline and Amazon EC2 Spot Instances made for more fluid iteration and better results.” – Dave Goodbourn, Head of Systems, Milk Visual Effects


Nexus Studios_Thinkbox.jpg

Nexus Studios

Nexus Studios is an Oscar- and Emmy-nominated studio that specializes in animation, film, and interactive experiences. With locations in both London and Los Angeles, Nexus creates content that ranges from animated films to virtual reality. Nexus started using AWS Thinkbox Deadline and Amazon EC2 Spot Instances at the beginning of 2018. “We needed to greatly increase our render capacity quickly and easily without up-front costs associated with purchasing hardware. We looked at other cloud providers, however the tight integration between Deadline and AWS made the choice easy.” “Using AWS allowed us to render jobs/projects that we otherwise would never have been able to render on our local render farm. We can now render basically any type of job, with any level of complexity needed.” – Ryan Cawthorne, Systems Engineer, Nexus Studios


Barnstorm VFX

Barnstorm VFX is a boutique visual effects house specializing in high quality digital effects, design, and production. They have been the primary visual effects studio for the Amazon Prime Original Series Man in the High Castle (seasons 2 and 3), and have also worked on CBS’ Strange Angel. Barnstorm started using AWS Thinkbox Deadline in 2014, and began rendering on the cloud with Amazon EC2 Spot instances in 2017. “Currently we use Deadline to manage all of our in-house renders. We utilize Spot instances to be able to render projects our internal farm can't handle such as large scale 3D projects.” “Using AWS to scale our rendering pipeline has allowed us to complete heavy creative 3D projects like Man in the High Castle and Strange Angel. It has also allowed us to have a smoother iterative process. From an artistic standpoint artists are able to render up to 10x as many iterations when EC2 Spot is implemented.” – Erik Nelson, Head of Technology, Barnstorm VFX


Passion Pictures

Passion Pictures is an award-winning production, animation, and commercial studio, having won an Academy Award for Best Documentary Feature in 2000 for their work on One Day In September. In 2017 they started using AWS Thinkbox Deadline and Amazon EC2 Spot instances for rendering and haven’t looked back, “We started using Deadline mid-2017, and starting implementing the use of EC2 Spot in November 2017. We now use EC2 Spot for 90% of our Compute.” With offices in London, Barcelona, Paris, New York, and Melbourne, Passion Pictures continues to churn out critically-acclaimed work, including the Emmy Award-winning Netflix series Five Came Back. “AWS has helped us move towards a more OpEx business model, providing great flexibility with the machines available as well as the capacity. We are becoming a more agile business, and now we have the ability to grow without massive CapEx.” – Jason Nicholas, Head of CG, Passion Pictures

FuseFX logo


FuseFX is an award-winning visual effects (VFX) studio that specializes in content creation for television, film, commercials, games, and special venues. FuseFX uses Thinkbox Deadline and Amazon EC2 Spot Instances to render its scenes, enabling it to meet project deadlines. Thinkbox Deadline is a render management solution that integrates with the AWS Portal, enabling VFX studios to take advantage of the reduced rendering cost available via Amazon EC2 Spot Instances. “Using Spot Instances gives us limitless capacity. We would not be able to make our delivery schedules without Deadline and Spot, and we no longer need to worry about having enough physical capacity for rendering. We can react on a moment’s notice to our daily rendering needs. This allows us to be agile and efficient.” –Jason Fotter, CTO, FuseFX

Fin Design + Effects

Fin Design + Effects is a boutique design and visual effects (VFX) company, who needed a cost-effective, agile solution to access additional capacity on the fly. Fin artists often required additional compute resources last minute to perform complex tasks using rendering software. They "wanted to save money and gain more agility in how we added compute resources, and AWS looked like it could enable us to do both of those things quite easily." Fin Design implemented a hybrid cloud environment with Amazon EC2 and EC2 Spot instances to access capacity on-demand and at a low cost.


“With hibernation, we'll be able to migrate even more workloads to EC2 Spot Instances. Our instances resume state with their memory intact, fully warmed up and ready to continue. It’s a game changer.”
-- Glenn Bach, Senior Director, Academic Computing Services, Caltech


“We use EC2 Spot instances to perform high-intensity genomic sequencing that requires analyzing large data sets to discover millions of unique patterns to detect early-stage cancer. As our research needs vary week over week, we have spiky computing needs and Spot’s new pricing model gives us the reliability of savings to scale our research with low and predictable prices.”


“We use EC2 Spot instances to perform high-intensity genomic sequencing enabling our customers to read and understand genetic variations. We are excited to move our additional genetic pipelines that run for more than 12 hours to Spot Instances as Spot’s new pricing model makes it even easier for us to acquire Spot capacity and gives us the reliability of savings at low and predictable prices”


Fermilab is participating in the CERN project, the largest data-intensive project in the world. After proving the existence of the Higgs Boson (“God particle” which gives humans their mass), CERN can analyze even more data at a higher velocity and get closer to proving the existence of dark matter. They successfully increased computing capacity cost-effectively by a factor of 4, to a total of 58K cores. More than 500 Million events were fully simulated in nearly 10 days using 2.9 million jobs that normally would have taken Fermilab six weeks to complete without the help from AWS.


DNAnexus provides a unified system of data management and sequence analysis for DNA sequencing centers and researchers. DNAnexus uses Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances to conduct all of its DNA analysis, while Amazon EC2 On-Demand Instances handle the company’s interactive services, such as its client front end portal and visualization tools. DNAnexus also relies on Amazon Simple Storage Service (Amazon S3) to meet the company’s extensive storage demand, which will grow from terabytes into petabytes of data.

Novartis built a platform for cancer research, estimating that it would take $40 million dollars. With Spot Instances, they conducted 39 years of computational chemistry in 9 hours for $4,232 and discovered 3 compounds to help fight cancer. Learn how from Novartis' Global Head of Scientific Computing.


Flux7, an IT consultancy, helps businesses create or optimize cloud infrastructure that provides elastic support for applications and workflows, helping customers to control costs while easily scaling to meet demands. They are an APN Healthcare Partner, with demonstrated success in building solutions for healthcare payers and providers.


Spotinst helps clients fully leverage the cloud’s excess capacity power with an elegant and reliable approach to handle Spot instances. The Elastigroup autoscaling engine automatically creates and maintains blended clusters composed from primarily EC2 Spot, On-demand and Reserved instances. In order to optimize the clusters, Elastigroup automatically balances between the three price models, and as part of that, maintains and manages the Spot instance purchasing operations and interruptions. This includes setting the bid and selecting the instance and Availability Zone.