Deepstributed
Deepstributed is a platform designed to simplify Machine Learning (ML) engineering by eliminating configuration effort for ML experiments. It allows users to run experiments on private, community, or cloud GPU resources. The platform enables users to link their code and data, manage experiments through setup, queuing, parameterization, iteration, and distribution across multiple GPUs, and utilize pre-configured runtime frameworks like Tensorflow and PyTorch. Deepstributed also facilitates sharing and utilizing community or GPU-as-a-Service resources, paying users for their GPU time. They are currently in beta testing and seeking users to try out their platform. The company has a presence in Switzerland and Poland and has been featured in discussions about AI development strategy.
Deepstributed
Deepstributed is a platform designed to simplify Machine Learning (ML) engineering by eliminating configuration effort for ML experiments. It allows users to run experiments on private, community, or cloud GPU resources. The platform enables users to link their code and data, manage experiments through setup, queuing, parameterization, iteration, and distribution across multiple GPUs, and utilize pre-configured runtime frameworks like Tensorflow and PyTorch. Deepstributed also facilitates sharing and utilizing community or GPU-as-a-Service resources, paying users for their GPU time. They are currently in beta testing and seeking users to try out their platform. The company has a presence in Switzerland and Poland and has been featured in discussions about AI development strategy.