A supercomputer at your fingertips.

Use one core or thousands without managing a single server.

The PiCloud Platform gives you the freedom to develop your algorithms and software without sinking time into all of the plumbing that comes with provisioning, managing, and maintaining servers.

										> def f(x):              # write or import your function
										      ...
										
										> import cloud           # import our library
										> id = cloud.call(f, x)  # run f on the cloud
									

		    	                        > cloud.status(id)       # track its progress
			                            'processing'
		                                > cloud.result(id)       # grab the result
									

										> cloud.map(f, datapoints) # parallelize your analysis
									

Not using Python? See our docs on running any program →

Step 1. SSH into your Environment

							$ ssh picloud@ec2-w-x-y-z.amazonaws.com
							

Step 2. Install Anything

							$ apt-get install anything
							$ cd prog; ./configure; make; make install
							

What's an environment?

An environment is the filesystem your jobs see as they run. We give you the ability to fully customize the environment.

What makes it powerful?

You setup the environment once. When you run a large workload, we automatically distribute your environment to all the cores that need it.

Learn more →

Store all your data without limits.

Bucket

Our object store makes it easy to keep your data in the cloud for efficient processing by our nodes.

							# Python
							> cloud.bucket.put('corpus.txt')   # store
							> cloud.bucket.get('corpus.txt')   # retrieve
							

							# Shell
							$ picloud bucket put data_file data_obj
							$ picloud bucket get data_obj .
							

Volumes

Volumes let you synchronize directories with the cloud. Your jobs see them as mounts on the filesystem.

							# Python
							> cloud.volume.sync('data_directory', 'your-volume:')
							

							# Shell
							$ picloud volume sync data_directory your-volume: 
							

Learn more →

Drill down into your Computational History

The days of sifting through server logs are over.

We consolidate all of your history into a single interface. You can see a task's:

• Standard Output & Error (Realtime)
• Memory & Swap Usage (Realtime)
• User & System CPU Time (Realtime)
• Exception & Traceback
• Execution Profile
• Status & Runtime

Learn more →