Paperspace - Gradient

Machine Learning made simple

Gradient is a Paperspace product geared toward machine learning developers at any stage of the ML development cycle.

Perfect for ML developers.


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A powerful no-fuss environment with loads of features that "simply works." Primary features are easily set up Jupyter notebooks with GPUs, datasets library, workflows for automating machine learning tasks and deployments.

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What do others find most impressive about the Devopsbay team?


”Kubernetes is a new, rapidly evolving space. Working with a team that understands it in detail and has worked with it in production has been beneficial. They possess a lot of expertise.”

How it works

Connect

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Train

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Repeat

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Our Involvement

We were involved in product planning and software development.

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Our primary focus was on developing the new platform processing site architecture based on kubernetes that allowed us to run ML workloads, MPI clusters, Jupyter notebook.

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During the process we had to develop a number of operator level applications including a custom autoscaler and a number of services to monitor and provision custom resources.

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One of the challenges was to design an installer based on kubespray that allows to install a k8s cluster on cloud or a bare metal and CLI/SDK python library to communicate with the platform.

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We were a tech partner on every level - from frontend and design thru backend development and ops with a team from the US.

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We know how to make it simple

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