ClearML vs Outerbounds
ClearML
clear.ml
Outerbounds
outerbounds.comSide by side
| Figure | ClearML | Outerbounds |
|---|---|---|
| Price from | $15/mo | $2,499/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 4 | 3 |
| Spec score · MLOps Platforms | 8.7 (#3) | 7.7 (#10) |
| Development | The AI Development Center provides an integrated environment for developing, training, testing, and deploying AI/ML models, with tools including monitoring, pipelines, a model repository, and CI/CD integration. | Starter includes up to three cloud workstations, and the platform supports testing code locally before deployment. |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | Outerbounds documents Snowflake access and examples for AWS Athena, Amazon SageMaker, and Amazon Bedrock. |
| Open source | ClearML says its self-hosted version is 100% open source on GitHub. | Outerbounds is built around Metaflow, an open-source framework that originated at Netflix. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | Starter and Enterprise include dedicated support, while the Community plan lists community support. |
Plans
ClearML
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
In their own words
ClearML
ClearML is an AI infrastructure platform organized into an Infrastructure Control Plane, AI Development Center, and GenAI App Engine. The Control Plane manages GPU resources across on-premises, cloud, and hybrid environments, including multi-tenant GPU-as-a-Service. The Development Center supports developing, training, testing, and deploying AI/ML models, with monitoring, pipelines, a model repository, and CI/CD integration. The GenAI App Engine deploys LLMs on compute clusters and provides networking, authentication, access control, and monitoring. Experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration appear across the listed tiers. Integrations include PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain; storage integrations include AWS S3, Azure, Google Storage, MinIO, and Backblaze B2. ClearML can be hosted on its servers, self-hosted, or provided as a managed service, with VPC, on-premises including air-gapped, and hybrid options. Community is free; Pro costs $15 a month per user plus usage. Scale and Enterprise pricing is by quote.
Outerbounds
Outerbounds is a managed platform for building and deploying production AI and machine-learning systems in a customer's cloud. It supports data processing, machine learning, AI applications, and agentic workflows, with orchestration, metadata tracking, monitoring, and production deployment tools. Developers can test code locally before deployment; Starter includes up to three cloud workstations. The platform documents Snowflake access and examples for AWS Athena, Amazon SageMaker, and Amazon Bedrock. Outerbounds says it can deploy in any cloud region in less than 15 minutes. Its free Community plan is built around open-source Metaflow, with infrastructure and security managed by the customer. Starter costs $2,499 a month, billed annually, and includes a 30-day trial. Starter is limited to three compute nodes and three workstations. Enterprise lists unlimited compute and workstations, multi-region deployment, and advanced RBAC, with price available by contacting the provider. Starter and Enterprise list SOC 2 compliance and dedicated support; HIPAA support is stated on the product homepage.