Scalable Python With Saturn Cloud

Multi-node multi-GPU computing means more data, more speed, and less waiting

Scalable Python With Saturn Cloud

Multi-node multi-GPU computing means more data, more speed, and less waiting

Traditional methods for scaling and deploying Python involve multiple tools, multiple teams, and multiple programming languages. Saturn solves this by integrating the resources and frameworks for scalable Python as a managed service, so teams can focus on data science, and offload everything else.

Distributed Parallel Computing in Python

Python-Native, Light Weight

  • Accelerate model runtime by up to 2000x faster
  • Compatible with all your favorite Python packages
  • Shortens time to value with greater agility (build, deploy, debug in Python)

Support For Multi-Dimensional Arrays

  • Required for geospatial analysis and other big data applications
  • Example: x-coordinate, y-coordinate, time
  • Not supported by existing frameworks like Spark

GPU Acceleration

  • Faster hardware performance versus traditional CPU processing
  • Easy to spin up with the Saturn Cloud interface
  • Get the most of big data without downsampling

Setting Up Your Data Science & Machine Learning Capability in Python

Python is the clear winning programming language in data science & machine learning (DSML). With its rich and dynamic open source software ecosystem, Python stands unmatched in how adoptable, reliable, and functional it is.