Covalent
Pythonic orchestration tool for AI/ML, HPC, and quantum computing workflows across heterogeneous compute environments.
What is Covalent?
Covalent is a Python library for orchestrating machine learning, high-performance computing, and quantum computing workflows. It solves the problem of managing and executing compute-intensive tasks across heterogeneous environments by providing a unified, infrastructure-agnostic interface. Users can run code on any cloud or on-prem cluster with minimal changes, abstracting away the complexities of infrastructure management.
AI/ML engineers, developers, and researchers who need to execute high-compute tasks like LLMs, generative AI, or scientific simulations across diverse computing environments. It's particularly useful for teams working with hybrid or multi-cloud setups and on-prem HPC clusters.
Developers choose Covalent for its simplicity—changing just a single line of code to switch compute backends—and its powerful abstraction layer that eliminates infrastructure lock-in. Its extensible plugin ecosystem and real-time monitoring UI provide flexibility and visibility unmatched by basic scripting or platform-specific tools.
Overview
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Use Cases
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