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Covalent’s serverless HPC architecture allows you to easily scale jobs from your laptop to your HPC/Cloud

Self-hosted Cloud
Self-hosted On prem
Self-hosted Laptop

How it Works

Construct

  • Decorate any python function to convert it into a task / workflow
  • Work locally and with the IDE of your choice, including Jupyter notebooks
  • Workflows can be cross-language and cross-platform
                            
import covalent as ct @ct.electron def spacer(word): return word+" " @ct.electron def join(*a): return "".join(a) @ct.lattice def workflow(name): return join(spacer("hello"),spacer(name)) +" !!" id=ct.dispatch(workflow)(name="Shore") ct.get_result(id,wait=True)
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Execute

  • Prototype your workflows locally and then run them anywhere
  • Switch between hardware types and locations with a single line of code
  • On-demand cloud bursting within a single hybrid workflow

Monitor

  • Visually engage with your workflows directly with Covalent’s browser-based UI
  • Get live status updates for tasks, workflows and hardware

Collect Results

  • Automatically add checkpoints to your workflows
  • Keep track of and organize your experiments using the Covalent UI
  • Automatically package experiments that can easily be shared/reproduced

Covalent supports a growing number of languages and executors

Searching for a specific plugin? Create your own or get started contributing.

Features

Open source

Covalent is open source.
Get the code here.

It’s pythonic!

Reproducibility

Covalent automatically stores and saves the run of every experiment in a reproducible format

PennyLane integration

Gain access to features such as smart scheduling and automatic resource allocation when running quantum tasks with PennyLane

*Coming Soon

Little-to-no overhead

No need to learn any new syntax or mess around with YAML

Browser-based UI

Monitor the state of your workflows (electrons + lattices) in real time

FAQs

Yes. Covalent is an Open Source-first platform that anyone can use for free including self-hosting in their own cloud.

Covalent is used by data scientists and computational scientists across industries and disciplines, wherever there is a necessity for running experiments on advanced computing hardware such as GPUs, CPUs, QPUs and others.

Yes, we encourage people to host Covalent Open Source on their own cloud.

While most other workflow tools are focused on the “when” (when to schedule an event), Covalent is focused on the “where” (what type of hardware, and in what modality – cloud vs. on-prem).

Gain access to features such as smart scheduling and automatic resource allocation when running quantum tasks with PennyLane. No need to learn any new syntax or mess around with YAML

The best place to ask questions about Covalent is on our Github Discussions board.

Join the Covalent community