Covalent

Covalent is a Python library designed for orchestrating machine learning, high-performance computing, and quantum computing workflows across heterogeneous compute environments. It provides a straightforward approach to executing compute jobs on various cloud platforms or on-prem clusters.

The core idea is to run code anywhere by changing just a single line of code, typically swapping a decorator with executor plugins tailored for specific infrastructure. This approach abstracts the complexities of infrastructure management, allowing users to focus on their code. It effectively converts any infrastructure, including on-prem SLURM clusters or cloud compute, into a serverless setup.

Benefits for AI/ML practitioners and developers include:

• Robust compute backend for AI/ML applications, LLMs, Generative AI.
• Cloud-agnostic execution across different cloud environments.
• Infrastructure abstraction keeping business code independent.

Benefits for researchers include:

• Effortless connection to compute resources from a laptop.
• Unified interface across environments like SLURM, PBS, LSF, AWS, GCP, Azure.
• Real-time monitoring for cost-effective and iterative R&D.