Amazon Elastic Inference vs. Amazon SageMaker Feature Store Comparison


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About Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and 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, PyTorch and ONNX models. Inference is the process of making predictions using a trained model. In deep learning applications, inference accounts for up to 90% of total operational costs for two reasons. Firstly, standalone GPU instances are typically designed for model training - not for inference. While training jobs batch process hundreds of data samples in parallel, inference jobs usually process a single input in real time, and thus consume a small amount of GPU compute. This makes standalone GPU inference cost-inefficient. On the other hand, standalone CPU instances are not specialized for matrix operations, and thus are often too slow for deep learning inference.	About Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. Features are used repeatedly by multiple teams and feature quality is critical to ensure a highly accurate model. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. SageMaker Feature Store provides a secured and unified store for feature use across the ML lifecycle. Store, share, and manage ML model features for training and inference to promote feature reuse across ML applications. Ingest features from any data source including streaming and batch such as application logs, service logs, clickstreams, sensors, etc.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience IT teams that need an advanced Infrastructure as a Service solution	Audience Enterprises seeking a solution to store, share, and manage ML model features for training
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
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Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Company Information Amazon Founded: 2006 United States aws.amazon.com/machine-learning/elastic-inference/	Company Information Amazon Founded: 1994 United States aws.amazon.com/sagemaker/feature-store/
Alternatives Amazon EC2 Inf1 Instances Amazon	Alternatives Amazon SageMaker Model Deployment Amazon
Amazon EC2 G4 Instances Amazon	Amazon SageMaker Pipelines Amazon
AWS Neuron Amazon Web Services	Amazon SageMaker Clarify Amazon
AWS Inferentia Amazon	Amazon SageMaker Amazon
Google Cloud AI Infrastructure Google View All	Amazon SageMaker Model Building Amazon View All
Categories Infrastructure-as-a-Service (IaaS) Supported	Categories AI Inference Supported Machine Learning Supported

Integrations Amazon Web Services (AWS) Supported AWS Glue Not Supported AWS Lake Formation Not Supported Amazon Athena Not Supported Amazon EC2 Supported Amazon EC2 G4 Instances Supported Amazon Kinesis Not Supported Amazon Redshift Not Supported Amazon S3 Not Supported Amazon SageMaker Not Supported Amazon SageMaker Data Wrangler Not Supported Amazon SageMaker Unified Studio Not Supported Apache Spark Not Supported Databricks Not Supported MXNet Supported PyTorch Supported Snowflake Not Supported TensorFlow Supported Show More Integrations View All 6 Integrations	Integrations Amazon Web Services (AWS) Supported AWS Glue Supported AWS Lake Formation Supported Amazon Athena Supported Amazon EC2 Not Supported Amazon EC2 G4 Instances Not Supported Amazon Kinesis Supported Amazon Redshift Supported Amazon S3 Supported Amazon SageMaker Supported Amazon SageMaker Data Wrangler Supported Amazon SageMaker Unified Studio Supported Apache Spark Supported Databricks Supported MXNet Not Supported PyTorch Not Supported Snowflake Supported TensorFlow Not Supported Show More Integrations View All 13 Integrations
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