About ClearML
ClearML is an open source platform for managing AI infrastructure and the workflows that run on it. It covers GPU clusters, development environments and the deployment of large language models.
What it does
The ClearML infrastructure control plane connects GPU clusters on premises, in the cloud or both, and manages how their capacity is shared. Teams can get one-click access to GPU resources with multi-tenant controls, role-based access and billing. The AI development center offers an environment for building, training and testing models from anywhere. A GenAI app engine deploys large language models onto clusters, handling networking and security.
Key features
- Manage GPU clusters on premises, in the cloud or both
- Share compute across teams with access controls
- Development environments reachable from anywhere
- Deploy large language models onto your clusters
- Scheduling of AI jobs across shared resources
Who it's for
The platform suits IT and ML platform teams that run shared GPU resources for several groups. A single data scientist with one workstation will probably find it more than they need.
Pricing and good to know
The core project is open source under the Apache-2.0 license. The site also offers a free start and demo requests for enterprise setups, with plan details on the pricing page. Running the infrastructure layer takes real operations work, so plan for administration time as well as hardware.
Highlights
- Manage GPU clusters on premises, in the cloud or both
- Share compute across teams with access controls
- Development environments reachable from anywhere
- Deploy large language models onto your clusters
- Scheduling of AI jobs across shared resources
