| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Model Registry Software | 7.9 (#7) | 7.4 (#16) |
| Spec score · Model registries | 7.8 (#16) | 7.6 (#19) |
| Deployment options | JFrog ML Cloud offers cloud deployment, while its hybrid architecture allows data and models to remain in a customer's cloud environment. | The pricing page says Valohai can be deployed as a managed cloud service, on premises, in a private cloud, or in air-gapped environments. |
| Founded | 2008 | 2016 |
| Headquarters | Sunnyvale, California, and Netanya, Israel | Turku, Finland |
| Integrations | JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations. | Its ecosystem lists a Hugging Face template and connectors for Snowflake, BigQuery, and Redshift, plus Slurm cluster management integration. |
| Purpose | JFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production. | Valohai describes itself as an MLOps platform for orchestrating machine learning workflows and managing compute, datasets, and pipelines. |
