C
Covalent
Covalent is a compute orchestration platform designed for developers and researchers to develop, deploy, and scale AI applications.
Our verdict
Who it's for
Effortless AI compute orchestration for any environment, from Python.
Who should look elsewhere
Specific details on integration with existing MLOps tools are not explicitly detailed.
Pros
- +Simplifies complex AI infrastructure management through Python abstraction.
- +Maximizes utilization of existing hardware and cloud resources.
- +Provides flexible, on-demand access to high-performance GPUs with pay-per-use billing.
- +Supports a wide range of advanced compute applications, from LLMs to scientific research.
- +Eliminates DevOps overhead for AI development and deployment.
Cons
- −Specific details on integration with existing MLOps tools are not explicitly detailed.
- −The pricing model is primarily focused on GPU usage, with vCPU as a secondary option, which might not be ideal for CPU-intensive, non-GPU workloads.
Key features
- ✓Infrastructure as Python
- ✓Automated containerization, clustering, provisioning, and scheduling
- ✓Dynamic resource allocation across cloud and on-premises environments
- ✓Workload management and scheduling for resource utilization
- ✓On-demand access to serverless Nvidia GPUs (H100, A100, L40, A10G, RTX series, T4)
- ✓Support for Generative AI / LLM training and deployment
- ✓Accelerated compute for image, video, and audio processing
- ✓Rapid iteration and collaboration for scientific computing
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Cloud H100 80GB | $2.15 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud A100 80GB | $1.49 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud L40 | $1.6 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud A10G | $1.21 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud RTX A6000 | $0.55 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud RTX A5000 | $0.28 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud RTX A4000 | $0.17 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud T4 | $0.64 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Cloud vCPU | $0.15 | month | Pay only for compute time utilized; Data storage, memory, and networking included; No minimum commitment or monthly access fees |
| Enterprise | — | month | Centralize infra management for all your users; Deploy and orchestrate workflows across clouds and on-premises; Volume discounts for high-volume usage |
| Open Source | — | month | Join a fast growing community; Run your first workflow in less than 2 minutes |