| Name | Cerebrium |
| Overview | Cerebrium is an innovative platform designed for users to seamlessly build, deploy, and monitor machine learning models using minimal coding. It streamlines the processes of training and deploying models across various major ML frameworks like PyTorch, ONNX, and XGBoost, enabling serverless GPU deployment with just a single line of code. Cerebrium is particularly advantageous for real-time applications, as it supports prebuilt models optimized for sub-second latency. The platform also accommodates custom model deployments, enabling the integration of multiple models for tailored functions. Additional features such as automatic versioning and rollback facilitate effective version management. Users can fine-tune smaller models, enhancing performance while reducing costs and latency, and can leverage open-source alternatives to proprietary models. Cerebrium simplifies model monitoring by integrating with leading ML observability platforms that provide alerts for prediction drift, ensuring swift issue resolution. Notable users include teams from Twilio, Ramp, and Writesonic. |
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| Pricing | Cerebrium operates on a Freemium model, allowing usage for free with certain limitations, with options to upgrade to paid plans as needed.Cerebrium Pricing Packages
** Pricing is subject to change; verify on the Cerebrium website. |
| Tags | Machine Learning, AI Development, Model Deployment, Data Science, Real-Time Applications |
| Mobile app available? | Yes, Cerebrium has a dedicated web application for users. |
Cerebrium
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Overview
Discover Cerebrium, the platform that streamlines machine learning model deployment and monitoring. Build, deploy, and monitor models effortlessly with minimal coding
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