Covalent

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Covalent is a Pythonic tool for orchestrating machine-learning, high-performance, and quantum-computing workflows. It enables users to run AI, ML, and scientific research code on any cloud or on-premise cluster with a single line of code.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is covalent?

Covalent is a Python library designed for AI/ML engineers, developers, and researchers, offering a straightforward approach to running complex compute jobs. It supports various tasks, including LLMs, generative AI, and scientific research, across diverse cloud platforms or on-prem clusters. A key feature is its ability to execute Python functions anywhere by simply swapping a decorator with an executor plugin, abstracting away infrastructure management complexities. Covalent automatically converts any infrastructure into a serverless setup, providing a unified interface for both on-prem HPC clusters and cloud platforms like AWS, GCP, and Azure. It also includes a user-friendly UI for real-time monitoring, enabling cost-effective and iterative R&D.

Best used for

Ideal for developers and data scientists who need to run machine learning, high-performance computing, and quantum computing workflows, deploy LLMs, and execute generative AI models. Especially valuable for those requiring cloud-agnostic execution and simplified infrastructure management across diverse compute environments.

Common actions

orchestrate workflows

run AI/ML code

manage compute environments

automate research tasks

low-code/no-codeautomated workflowopen-sourcedeepfakecollaborationgithub copilot"AI Agents"face swappingworkflows

Capabilities

Key features

Cloud-agnostic execution
Infrastructure abstraction
Serverless infrastructure
Real-time monitoring UI
Extensive plugin ecosystem
Pythonic workflow orchestration

Target Audience

developerdata scientistresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of compute environments does Covalent support?

Covalent supports heterogeneous compute environments, including various cloud platforms like AWS, GCP, and Azure, as well as on-premise clusters such as SLURM, PBS, and LSF. It abstracts the complexities of these infrastructures for seamless execution.

How does Covalent simplify infrastructure management?

Covalent abstracts away the complexities of cloud consoles, Terraform, or Infrastructure as Code (IaC). It automatically converts any infrastructure, including on-prem SLURM clusters or cloud compute, into a serverless setup, simplifying deployment and management.

Can Covalent be used for Large Language Models (LLMs) and Generative AI?

Yes, Covalent is designed as a robust compute backend for AI/ML applications, including Large Language Models (LLMs) and Generative AI. It allows users to execute these high-compute tasks seamlessly across different cloud environments.

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