+
+

Related Products

  • RunPod
    206 Ratings
    Visit Website
  • LM-Kit.NET
    28 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    961 Ratings
    Visit Website
  • Google AI Studio
    12 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,018 Ratings
    Visit Website
  • Sage Intacct
    8,335 Ratings
    Visit Website
  • HR Partner
    201 Ratings
    Visit Website
  • MetaLocator
    24 Ratings
    Visit Website
  • LogicalDOC
    142 Ratings
    Visit Website
  • Datasite Diligence Virtual Data Room
    635 Ratings
    Visit Website

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

FriendliAI is a generative AI infrastructure platform that offers fast, efficient, and reliable inference solutions for production environments. It provides a suite of tools and services designed to optimize the deployment and serving of large language models (LLMs) and other generative AI workloads at scale. Key offerings include Friendli Endpoints, which allow users to build and serve custom generative AI models, saving GPU costs and accelerating AI inference. It supports seamless integration with popular open source models from the Hugging Face Hub, enabling lightning-fast, high-performance inference. FriendliAI's cutting-edge technologies, such as Iteration Batching, Friendli DNN Library, Friendli TCache, and Native Quantization, contribute to significant cost savings (50–90%), reduced GPU requirements (6× fewer GPUs), higher throughput (10.7×), and lower latency (6.2×).

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

AI infrastructure engineers wanting a solution to manage AI models across various workloads

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

$5.9 per hour
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

FriendliAI
Founded: 2021
United States
friendli.ai/

Alternatives

Alternatives

Categories

Categories

Integrations

Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker Unified Studio
Apache Spark
Databricks
Hugging Face
LangChain
LiteLLM
Llama 3.3
Meta AI
Microsoft Azure
MongoDB
NVIDIA DRIVE
Poe
Qwen
Snowflake

Integrations

Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker Unified Studio
Apache Spark
Databricks
Hugging Face
LangChain
LiteLLM
Llama 3.3
Meta AI
Microsoft Azure
MongoDB
NVIDIA DRIVE
Poe
Qwen
Snowflake
Claim Amazon SageMaker Feature Store and update features and information
Claim Amazon SageMaker Feature Store and update features and information
Claim FriendliAI and update features and information
Claim FriendliAI and update features and information