Amazon SageMaker Feature Store vs. Nebius Comparison


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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 Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.
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 Founders of AI startups, ML engineers, MLOps engineers, and any roles interested in optimizing compute resources for their AI/ML tasks
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 View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing $2.66/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 Nebius Founded: 2022 Netherlands nebius.ai/
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Categories AI Inference Machine Learning	Categories AI Cloud Providers AI Image Generators AI Inference AI Infrastructure AI/ML Model Training Cloud GPU Cloud Service Providers Data Preparation LLM API Machine Learning Object Storage Virtual Private Cloud (VPC)

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 NVIDIA DGX Cloud Lepton NVIDIA DGX Cloud Serverless Inference Nebius Token Factory Shadeform Snowflake Show More Integrations View All 13 Integrations	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 NVIDIA DGX Cloud Lepton NVIDIA DGX Cloud Serverless Inference Nebius Token Factory Shadeform Snowflake Show More Integrations View All 4 Integrations
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