The system consists of the following elements:– Central server– Docker registry compatible image registry managed by Megamind– Computing nodes– Developers– End users Central server. Megamind Central server consists of the following parts: Server REST API. Provides a top-level API for task management and connecting computing nodes. The task in this context is a docker image …
Russian programmers have developed a platform for distributed training of large neural networks. It is adapted for a network of many computers of different power, any of which can exit the process at any time. As with distributed scientific computing projects such as Folding@home, this approach, with the help of many volunteers, can create a …
Supercomputers for NNs to be replaced by a distributed network Read More »
Professionals in Data Science have a variety of options when it comes to computing. As far as the algorithms can be paralleled (it’s exactly the case with most machine learning models — with a lot of matrix multiplication), model training can be done using CPUs, GPUs and also TPUs. What does it mean from the …
Everybody can agree that the lockdown slowed down all kinds of businesses. Well, it hardly affected Megamind: we continue service development as planned. According to the Roadmap we plan to release Beta in Q4 2020 and become operational in 2021. At the moment we are working on the platform core: in particular load balancer, API/SDK, …
