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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.

About

Nexa AI enables developers and consumers to run state-of-the-art AI models locally on CPUs, GPUs, and NPUs, removing the reliance on cloud infrastructure. Its flagship Nexa SDK allows developers to deploy any AI model across devices in minutes, supporting compression for efficiency and acceleration on NPUs. For consumers, Hyperlink acts as a private offline AI agent that can search local files, provide insights, and ensure complete data privacy. Nexa’s technology emphasizes three pillars: absolute privacy, predictable cost with pay-per-device licensing, and offline reliability for use in secure or disconnected environments. Proprietary innovations like the NexaML Engine ensure performance optimization across hardware, from PCs to IoT devices. By combining flexibility, security, and speed, Nexa AI brings modern AI capabilities directly to the edge.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises seeking a solution to store, share, and manage ML model features for training

Audience

Developers, enterprises, and privacy-conscious consumers seeking high-performance, offline AI solutions that run across devices without cloud dependence

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/feature-store/

Company Information

Nexa AI
United States
nexa.ai/

Alternatives

Alternatives

Categories

Categories

Integrations

AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Spark
Databricks Data Intelligence Platform
Snowflake

Integrations

AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Spark
Databricks Data Intelligence Platform
Snowflake
Claim Amazon SageMaker Feature Store and update features and information
Claim Amazon SageMaker Feature Store and update features and information
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