The Cloud Platform for Deep Learning
Enterprise grade MLOps for your team. You focus on your model development, we focus on your infrastructure management.Get started for free
Get started in minutes.
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.
Simplify your MLOps process and get started with building your models within minutes. Optimized operations lead to better savings.
Integrate with your existing infrastructure and workflows.
Quickly attach a S3 bucket to your notebook instance. Bucket appears as a folder on your instance.
Pull and run any private or public image from a container registry such as Docker Hub. Get started with your environment in seconds.
Library for parallel computing in Python. It extends common packages like NumPy and Pandas to distributed environments.
Jupyter notebooks are the default interface to interact with your instance. Choose between JupyterNB or more powerful JupyterLab.
Execute end-to-end data science and analytics pipelines entirely on GPUs. Run jobs 100x to 500x faster.
Add speed and simplicity to your ML workflow today.
Test drive Segmind's ML platform.