Data Science Virtual Machine (DSVM)

Virtual servers for Python code execution in Jupyter, 
and for the development and training of ML models.

Key Advantages

Immediate readiness 

of tools

The team streamlines the installation and performance testing of ML packages.

Up to four GPUs 

in a single server

Easily incorporate multiple GPUs 
for artificial neural networks or deep learning ML model operations.

Payment only for
cloud resources

Complete pay-as-you-go model: 
no charges for using software 
and licenses.

Wide range
of frameworks

Includes Jupyter, PyTorch, Keras, OpenCV, TensorFlow, NumPy, Pandas, with no vendor lock-in.

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