Saturn Cloud - remote GPU Jupyter Server accessible from local VS Code | TrustRadius

Overall Satisfaction with Saturn Cloud

Use Cases and Deployment Scope

I use Saturn Cloud for deep learning model development, using Jupyter Notebook access remotely from vs code. I was attracted by a free plan entry offering a pre-configured Python server accelerated with GPU and especially the option to access it from my local vs code instance, which saved me extra setup and configuration effort.

Pros and Cons

Pros

Wide choice of resource options: CPU, RAM, GPU, TPU
Remote access from VS Studio
One-click Python server setup
Free entry plan with GPU

Cons

Pre-created fastai image would be helpful

Most Important Features

Remote GPU Jupyter server
SSH access from vs code
Easy setup

Return on Investment

Saturn Cloud enabled me to get up and running with deep learning development environment in minutes

Alternatives Considered

I like Kaggle, Google Colab, and Paperspace Gradient but none of them give me the opportunity to work remotely from my local vs code.

Key Insights

Do you think Saturn Cloud delivers good value for the price?

Yes

Are you happy with Saturn Cloud's feature set?

Yes

Did Saturn Cloud live up to sales and marketing promises?

Yes

Did implementation of Saturn Cloud go as expected?

Yes

Would you buy Saturn Cloud again?

Yes

Other Software Used

Microsoft Visual Studio Code, GitHub, WordPress

Likelihood to Recommend

Saturn Cloud is great for deep learning model developers who are keen on using vs code with a remote GPU-supported Jupyter server.

Comments

Please log in to join the conversation