Distributed Low-cost GPUs for Deep Learning

3-5 times cheaper than public cloud

Low-cost GPUs under single command line

Data encryption in transit and at rest


Pod Types

snark start -t pytorch


Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch is a deep learning framework for fast, flexible experimentation

snark start -t tensorflow


TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

snark start -t caffe


Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.

The Team

Founding Team

Jason Ge

PhD candidate, Princeton University

Davit Buniatyan

PhD candidate, Princeton University

Sergiy Popovych

PhD candidate, Princeton University