Floyd’s Infrastructure runs entirely on Docker. That makes it backend agnostic (our cloud offering currently runs on AWS). Floydhub uses nvidia-docker for the d

Floyd’s Infrastructure runs entirely on Docker. That makes it backend agnostic (our cloud offering currently runs on AWS). Floydhub uses nvidia-docker for the deep learning jobs that require GPU. We also version the entire pipeline (code, data, params and environment) for exact reproducibility. GPUs instances are really expensive. One of the biggest challenges at the moment is around reducing this cost. Eg. Spot Instances and Spot Blocks. Still some challenges to be solved there. We also want Floyd to be an end-to-end solution for building, training and deploying deep learning models. In that vein, we are also investing in adding support for Tensorflow serving but it has been a rough ride so far. Getting a generic solution that can host any Tensorflow model has not been straightforward.