The Cloud Platform for Deep Learning

Enterprise grade MLOps for your team. You focus on your model development, we focus on your infrastructure management.

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Built on and leveraging your public cloud of choice


EFFORTLESS INFRA

Integrated Workspace

Simplify DevOps for running your deep learning related jobs. From compute intensive pre-processing to GPU intensive training jobs, get low costs instances within minutes.

SAVE COST

Cut Cost and Complexity

Simplify your MLOps process and get started with building your models within minutes. Optimized operations lead to better savings.


INTEGRATIONS

Segmind Juno works seamlessly with other services and libraries

Integrate with your existing infrastructure and workflows.

AWS S3

Quickly attach a S3 bucket to your notebook instance. Bucket appears as a folder on your instance.

Docker

Pull and run any private or public image from a container registry such as Docker Hub. Get started with your environment in seconds.

DASK Coming Soon

Library for parallel computing in Python. It extends common packages like NumPy and Pandas to distributed environments.

Jupyter

Jupyter notebooks are the default interface to interact with your instance. Choose between JupyterNB or more powerful JupyterLab.

Rapids Coming Soon

Execute end-to-end data science and analytics pipelines entirely on GPUs. Run jobs 100x to 500x faster.

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