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AWS Fargate vs Amazon Elastic Inference comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Elastic Inference and AWS Fargate based on real PeerSpot user reviews.

Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Fargate vs. Amazon Elastic Inference report (Updated: September 2022).
634,325 professionals have used our research since 2012.
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  • "I rate the price of AWS Fargate a four out of five."
  • More AWS Fargate Pricing and Cost Advice →

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    Top Answer:The most valuable feature of AWS Fargate is its ease of use.
    Top Answer:AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run.
    Ranking
    11th
    out of 14 in Compute Service
    Views
    612
    Comparisons
    548
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    8th
    out of 14 in Compute Service
    Views
    3,223
    Comparisons
    2,582
    Reviews
    2
    Average Words per Review
    327
    Rating
    9.0
    Comparisons
    Learn More
    Overview

    Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances or Amazon ECS tasks to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
    In most deep learning applications, making predictions using a trained model—a process called inference—can drive as much as 90% of the compute costs of the application due to two factors. First, standalone GPU instances are designed for model training and are typically oversized for inference. While training jobs batch process hundreds of data samples in parallel, most inference happens on a single input in real time that consumes only a small amount of GPU compute. Even at peak load, a GPU's compute capacity may not be fully utilized, which is wasteful and costly. Second, different models need different amounts of GPU, CPU, and memory resources. Selecting a GPU instance type that is big enough to satisfy the requirements of the most demanding resource often results in under-utilization of the other resources and high costs.
    Amazon Elastic Inference solves these problems by allowing you to attach just the right amount of GPU-powered inference acceleration to any EC2 or SageMaker instance type or ECS task with no code changes. With Amazon Elastic Inference, you can now choose the instance type that is best suited to the overall CPU and memory needs of your application, and then separately configure the amount of inference acceleration that you need to use resources efficiently and to reduce the cost of running inference.

    A new compute engine that enables you to use containers as a fundamental compute primitive without having to manage the underlying instances. With Fargate, you don’t need to provision, configure, or scale virtual machines in your clusters to run containers. Fargate can be used with Amazon ECS today, with plans to support Amazon Elastic Container Service for Kubernetes (Amazon EKS) in the future.

    Fargate has flexible configuration options so you can closely match your application needs and granular, per-second billing.

    Offer
    Learn more about Amazon Elastic Inference
    Learn more about AWS Fargate
    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Top Industries
    VISITORS READING REVIEWS
    Media Company24%
    Comms Service Provider21%
    Computer Software Company16%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Media Company19%
    Financial Services Firm12%
    Comms Service Provider12%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise7%
    Large Enterprise77%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    Compute Service
    September 2022
    Find out what your peers are saying about Amazon, Apache, Zadara and others in Compute Service. Updated: September 2022.
    634,325 professionals have used our research since 2012.

    Amazon Elastic Inference is ranked 11th in Compute Service while AWS Fargate is ranked 8th in Compute Service with 3 reviews. Amazon Elastic Inference is rated 0.0, while AWS Fargate is rated 8.6. On the other hand, the top reviewer of AWS Fargate writes "A serverless, pay-as-you-go compute engine that you can deploy quickly". Amazon Elastic Inference is most compared with AWS Lambda, Amazon EC2 Auto Scaling and AWS Batch, whereas AWS Fargate is most compared with Amazon EC2 Auto Scaling, Amazon EC2, AWS Batch, AWS Lambda and Oracle Compute Cloud Service.

    See our list of best Compute Service vendors.

    We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.