On-Demand Access to Serverless GPUs
Leverage Covalent Cloud’s on-demand, serverless infrastructure to simplify your AI/ML/HPC applications development, without worrying about capacity reservations.
Infrastructure as Python
Covalent makes all of your compute accessible via a single Python decorator. Simply specify the resources you need and let Covalent handle the rest.
Bypass Cloud Consoles , YAML Files, And Other DevOps
Covalent’s intuitive abstractions make it easy to build and scale high compute applications like LLMs and generative AI without the intricacies of cloud operations and infrastructure management.
A simple, unified framework for scaling AI workloads
Efficient Serverless Resources
Effortlessly take advantage of on-demand serverless resources without the hassle of reservations or managing the underlying infrastructure
Run workloads wherever it’s most convenient for you, whether it’s on any of the major public clouds or with a specialized GPU cloud provider
Extendable plugin ecosystem
Covalent natively integrates with the rest of the Python ecosystem and offers a range of custom language and executor plugins. Explore all plugins here.
End-to-End Infrastructure Management
Covalent manages all of your infrastructure, from containerization, to autoscaling, to provisioning & tearing down resources – all in Python.
Built-in workflow management functions including dynamic workflows, triggers, checkpointing, custom scheduling policies & more
With Covalent, you don’t need to write a single line of IaC. No more YAML, scripting or Kubernetes. Infrastructure is entirely managed in Python.
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Effortlessly move from prototype to production without any of the operational overhead
Unify, manage and scale all of your computing resources – from on-prem to multi-cloud in a custom manner