At Algorithmia, we believe in democratizing access to state-of-the-art algorithmic intelligence.

That’s why we’re introducing a solution for hosting and distributing trained deep learning models on Algorithmia using GPUs in the cloud.

Today, researchers and developers can train their neural nets locally, and deploy them to Algorithmia’s scalable, cloud infrastructure, where they become smart API endpoints for other developers to use.

We’re excited to announce initial native support for the Caffe, Theano, and TensorFlow frameworks, and have added 16 open source deep learning models that run as microservices to start. Support for Torch and MxNet are coming soon.

We’ve created two demos to showcase how easy it is to build applications from hosted models:

We want Algorithmia to be the place for researchers and developers creating deep learning models to showcase their work, distribute it, and make it available for other developers to use.

Let us know what you think.
– Diego M. Oppenheimer, Algorithmia founder and CEO

Turn Your Deep Learning Model into a Serverless Microservice

Hosting Deep Learning ModelsTrain your model using the tools you’re comfortable with. And, when you’re ready, deploy it to our infrastructure, where your model will join a collection of more than 2,200 algorithmic microservices other developers can use to obtain real-time predictions, and build production-ready, machine intelligent apps. Read more

Deep Learning Model Hosting Guides

Caffe | TensorFlow | Theano

16 Open Source Cloud Hosted Deep Learning Models Running as MicroservicesOpen Source Cloud Hosted Deep Learning Models

We’ve added 16 open source deep learning models to the platform for you to try today that use models from the TensorFlow, Theano and Caffe frameworks. Read more

Featured Deep Learning Models

Deep Face Recognition – A classifier that recognizes celebrity faces.

Nudity Detection Ensemble – Detect nudity in images with very high accuracy.

Parsey McParseface – Parse sentences with ease. Perfect for chatbots.

Don’t Know Where to Start?

Start here, or just reply to this email, and let us know what you’re looking for. We’d be happy to help.

  1. Getting Started Guide
  2. Developer Center
  3. API Documentation