Features
Gpu Support
Jupyter Notebook Integration
Version Control
Collaboration
Reproducibility
Experiment Management
Scaling
Deployment
Testimonies
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FloydHub
FloydHub is a cloud platform designed to simplify deep learning projects by providing an easy-to-use, Heroku-like environment for building, training, and deploying deep learning models. It handles infrastructure provisioning, scaling, reproducible experiments, collaboration, and supports deep learning frameworks with minimal setup. The platform enables data scientists to focus on research while FloydHub manages the engineering complexities such as GPU resource management and environment versioning. It offers pay-per-use pricing with a free tier of 100 hours, supports interactive development via Jupyter Notebooks, and aims to be backend/framework agnostic. FloydHub is targeted at deep learning practitioners, startups, small to medium teams, and students seeking to streamline their machine learning workflows.
platform:web
pricing:freemium
pricing:pay-per-use
form:web-app
form:cli-tool
form:saas
feature:gpu-support
feature:jupyter-notebook-integration
feature:version-control
feature:collaboration
feature:reproducibility
feature:experiment-management
feature:scaling
feature:deployment
target:developers
target:students
target:startups
target:teams
use-case:machine-learning
use-case:deep-learning
use-case:collaboration
use-case:deployment
use-case:experiment-management
