Cerebrium
C
Cerebrium
Overview :
Cerebrium is a machine learning framework that allows you to easily train, deploy, and monitor machine learning models with just a few lines of code. We run everything on serverless CPU/GPU and charge only based on usage. You can deploy models from libraries like Pytorch, Huggingface, and Tensorflow.
Target Users :
Cerebrium is suitable for building and deploying various AI models, including image recognition, natural language processing, and text generation applications.
Total Visits: 42.5K
Top Region: IN(20.49%)
Website Views : 54.9K
Features
Deploy mainstream machine learning frameworks with a single line of code
Support for custom models and model integration
Provide pre-processing and post-processing functions
Automatic version control and rollback functionality
Cold start time less than 1 second
Powerful serverless GPU support
Featured AI Tools
Fresh Picks
MiaoDa
Miaoda
MiaoDa is a no-code AI development platform launched by Baidu, which is based on large models and agent technology. It enables users to build software without writing code. Users can easily implement various ideas and concepts through no-code programming, multi-agent collaboration, and scalable tool invocation. The main advantages of MiaoDa include zero-code programming, multi-agent collaboration, scalable tool invocation, intuitive operation, realization of creativity, automation of processes, and modular building. It is suitable for businesses, educational institutions, and individual developers who need to rapidly develop and deploy software applications without requiring programming knowledge.
Development Platform
447.7K
TensorPool
Tensorpool
TensorPool is a cloud GPU platform dedicated to simplifying machine learning model training. It provides an intuitive command-line interface (CLI) enabling users to easily describe tasks and automate GPU orchestration and execution. Core TensorPool technology includes intelligent Spot instance recovery, instantly resuming jobs interrupted by preemptible instance termination, combining the cost advantages of Spot instances with the reliability of on-demand instances. Furthermore, TensorPool utilizes real-time multi-cloud analysis to select the cheapest GPU options, ensuring users only pay for actual execution time, eliminating costs associated with idle machines. TensorPool aims to accelerate machine learning engineering by eliminating the extensive cloud provider configuration overhead. It offers personal and enterprise plans; personal plans include a $5 weekly credit, while enterprise plans provide enhanced support and features.
Model Training and Deployment
307.5K
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase