Deep Infra vs. Feast Comparison


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About Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer per-token pricing. Most other models are billed for inference execution time. With this pricing model, you only pay for what you use. There are no long-term contracts or upfront costs, and you can easily scale up and down as your business needs change. All models run on A100 GPUs, optimized for inference performance and low latency. Our system will automatically scale the model based on your needs.	About Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Anyone in search of a solution to run the top AI models to improve their machine learning outcomes	Audience Anyone looking for an open-source feature store which provides easy access to consistent features across model training and online inference
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $0.70 per 1M input tokens Free Version Not Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 1.0 / 5 ease 1.7 / 5 features 1.7 / 5 design 3.3 / 5 support 1.0 / 5 Read all reviews	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
Pros & Cons from Real Users Pros N/A No pros! Even if you set things up to stop wasting money (silent fails etc.), your settings are worthless. Large range of models. On first glance, priced well. Sleek user interface and easy access to API keys. Min top-up is low at $5. Cons The services advertised don't work. - Setup has different levels without correspondence or evidence of redundancy - your programming limits are worthless, the model runs as it pleases In the less than a month I was testing their service, for common, highly used models available for free download on Hugging Face (so they weren't having to pay a middle man like for gpt etc), they: 1) Deleted 1 model entirely and offered no replacement. 2) Increased the price on another model 400%. 3) Doubled the price of another. There was no obvious way to contact them about this on their website other than a sales form.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Deep Infra deepinfra.com	Company Information Tecton Founded: 2019 United States feast.dev/
Alternatives SambaNova SambaNova Systems	Alternatives JFrog ML JFrog
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Amazon SageMaker Model Deployment Amazon	Tecton
VESSL AI View All	Amazon SageMaker Feature Store Amazon View All
Categories AI Inference Supported AI Infrastructure Supported LLM API Supported Machine Learning Supported	Categories AI Inference Supported Data Engineering Supported Machine Learning Supported

Integrations Amazon DynamoDB Not Supported Amazon EMR Not Supported Amazon S3 Not Supported Codestral Supported DataHub Not Supported GitHub Supported Higgs Audio / Avatar Supported Llama Supported Llama 3 Supported Llama 3.1 Supported Llama 3.3 Supported Mixtral 8x22B Supported Pixtral Large Supported PySpark Not Supported Ray Not Supported Redis Not Supported SQL Not Supported Seldon Not Supported TensorFlow Not Supported Show More Integrations View All 24 Integrations	Integrations Amazon DynamoDB Supported Amazon EMR Supported Amazon S3 Supported Codestral Not Supported DataHub Supported GitHub Not Supported Higgs Audio / Avatar Not Supported Llama Not Supported Llama 3 Not Supported Llama 3.1 Not Supported Llama 3.3 Not Supported Mixtral 8x22B Not Supported Pixtral Large Not Supported PySpark Supported Ray Supported Redis Supported SQL Supported Seldon Supported TensorFlow Supported Show More Integrations View All 20 Integrations
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