One Function, Endless Possibility

remote_parallel_map is the simplest possible abstraction to run code on lots of computers.

from burla import remote_parallel_map

my_inputs = [1, 2, 3]

def my_function(my_input):
    print("I'm running on my own separate computer in the cloud!")
    return my_input
    
return_values = remote_parallel_map(my_function, my_inputs)

It's lightweight, scaleable, and very fast. This means we can horizontally scale work we wouldn't normally bother to run on many computers.

Here are some examples:

Save Big on Batch AI Inference

Orchestrate Data Pipelines

Scale Computational Bio

Develop in Remote Environments

Prepare Terabytes of Data

Simplify AI Agent Development

Try it now with just two commands:

(Currently Google Cloud only!)

1. pip install burla

2. burla install

See our Getting Started guide for more info:

Getting Started | Burladocs.burla.dev

Questions? Schedule a call with us, or email [email protected]. We're always happy to talk.