
FloydHub
closedPlatform-as-a-service for training and deploying deep learning models.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor | €0.0 | round |
$4.0m | Seed | ||
Total Funding | 000k |
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FloydHub, founded in 2016 by Sai Prashanth Soundararaj and Naren Thiagarajan, was a Platform-as-a-Service (PaaS) designed to streamline the workflow for deep learning professionals. The company was a participant in the Winter 2017 batch of the Y Combinator accelerator, securing $120K in seed funding. The founders' backgrounds were deeply rooted in technology and engineering; Soundararaj previously served as a Senior Applied Scientist at Microsoft, while Thiagarajan was the Director of Engineering at Location Labs after earning a Computer Science degree from Stanford. The platform was officially shut down on August 20, 2021.
The company's core offering was a cloud-based environment that removed the complexities of setting up and managing infrastructure for machine learning tasks. Often described as the "Heroku for Deep Learning," FloydHub provided data scientists and developers with on-demand access to pre-configured CPU and GPU servers, enabling them to train and deploy deep learning models without extensive DevOps knowledge. The platform supported major machine learning libraries such as TensorFlow, Keras, and PyTorch, simplifying the process of running experiments.
The business model centered on providing tiered access to its computational resources. It offered free plans for public projects and learners, alongside paid subscription tiers for individual data scientists and teams that required private projects, more storage, and the ability to run multiple jobs concurrently. Users could run their code through a command-line interface (CLI) or use Jupyter notebook workspaces directly on the platform. FloydHub managed all underlying aspects, from versioning datasets and code to tracking experiment metrics, allowing users to focus on model development. This approach catered to individuals learning machine learning, students in programs like fast.ai, and professional teams collaborating on AI models.
Keywords: FloydHub, deep learning platform, machine learning as a service, PaaS for AI, Y Combinator, cloud GPU, model training, model deployment, data science workflow, Jupyter notebooks, TensorFlow cloud, PyTorch environment, AI development, computational environment, Sai Prashanth Soundararaj, Naren Thiagarajan, Heroku for deep learning, MLaaS, AI infrastructure, deadpooled startup