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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

Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows. Deploy custom AI & LLMs on any infrastructure in seconds and scale inference with ease. Handle your most demanding tasks with batch job scheduling, only paying with per-second billing. Optimize costs with GPU usage, spot instances, and built-in automatic failover. Train with a single command with YAML, simplifying complex infrastructure setups. Automatically scale up workers during high traffic and scale down to zero during inactivity. Deploy cutting-edge models with persistent endpoints in a serverless environment, optimizing resource usage. Monitor system and inference metrics in real-time, including worker count, GPU utilization, latency, and throughput. Efficiently conduct A/B testing by splitting traffic among multiple models for evaluation.

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

High-performance ML teams

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

$100 + compute/month
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

VESSL AI
Founded: 2020
United States
vessl.ai/

Alternatives

Alternatives

Categories

Categories

Integrations

Amazon Web Services (AWS)
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Kinesis
Amazon S3
Amazon SageMaker Data Wrangler
FLUX.1
FLUX.2
Jupyter Notebook
LangChain
Llama 3
Llama 3.1
Llama 3.2
Mixtral 8x22B
Mixtral 8x7B
Pinecone
Stable Diffusion
Visual Studio Code
Whisper

Integrations

Amazon Web Services (AWS)
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Kinesis
Amazon S3
Amazon SageMaker Data Wrangler
FLUX.1
FLUX.2
Jupyter Notebook
LangChain
Llama 3
Llama 3.1
Llama 3.2
Mixtral 8x22B
Mixtral 8x7B
Pinecone
Stable Diffusion
Visual Studio Code
Whisper
Claim Amazon SageMaker Feature Store and update features and information
Claim Amazon SageMaker Feature Store and update features and information
Claim VESSL AI and update features and information
Claim VESSL AI and update features and information