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What is Amazon SageMaker Feature Store?

Amazon SageMaker Feature Store is a specialized, fully managed storage solution created to store, share, and manage essential features necessary for machine learning (ML) models. These features act as inputs for ML models during both the training and inference stages. For example, in a music recommendation system, pertinent features could include song ratings, listening duration, and listener demographic data. The capacity to reuse features across multiple teams is crucial, as the quality of these features plays a significant role in determining the precision of ML models. Additionally, aligning features used in offline batch training with those needed for real-time inference can present substantial difficulties. SageMaker Feature Store addresses this issue by providing a secure and integrated platform that supports feature use throughout the entire ML lifecycle. This functionality enables users to efficiently store, share, and manage features for both training and inference purposes, promoting the reuse of features across various ML projects. Moreover, it allows for the seamless integration of features from diverse data sources, including both streaming and batch inputs, such as application logs, service logs, clickstreams, and sensor data, thereby ensuring a thorough approach to feature collection. By streamlining these processes, the Feature Store enhances collaboration among data scientists and engineers, ultimately leading to more accurate and effective ML solutions.

What is Amazon EC2 Inf1 Instances?

Amazon EC2 Inf1 instances are designed to deliver efficient and high-performance machine learning inference while significantly reducing costs. These instances boast throughput that is 2.3 times greater and inference costs that are 70% lower compared to other Amazon EC2 offerings. Featuring up to 16 AWS Inferentia chips, which are specialized ML inference accelerators created by AWS, Inf1 instances are also powered by 2nd generation Intel Xeon Scalable processors, allowing for networking bandwidth of up to 100 Gbps, a crucial factor for extensive machine learning applications. They excel in various domains, such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization features, and fraud detection systems. Furthermore, developers can leverage the AWS Neuron SDK to seamlessly deploy their machine learning models on Inf1 instances, supporting integration with popular frameworks like TensorFlow, PyTorch, and Apache MXNet, ensuring a smooth transition with minimal changes to the existing codebase. This blend of cutting-edge hardware and robust software tools establishes Inf1 instances as an optimal solution for organizations aiming to enhance their machine learning operations, making them a valuable asset in today’s data-driven landscape. Consequently, businesses can achieve greater efficiency and effectiveness in their machine learning initiatives.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Deep Learning AMIs
AWS Glue
AWS Inferentia
AWS Lake Formation
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon Athena
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon Redshift
Apache Spark
Databricks Data Intelligence Platform
MXNet
Snowflake
TensorFlow

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Deep Learning AMIs
AWS Glue
AWS Inferentia
AWS Lake Formation
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon Athena
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon Redshift
Apache Spark
Databricks Data Intelligence Platform
MXNet
Snowflake
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.228 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/feature-store/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/inf1/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Popular Alternatives

AWS Neuron Reviews & Ratings

AWS Neuron

Amazon Web Services