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Cerebrium
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Cerebrium
Serverless infra for AI/ML apps - Build faster and cheaper
# AI Tools Directory
Featured on : Nov 12. 2024
Featured on : Nov 12. 2024
What is Cerebrium?
A serverless AI infrastructure platform that makes it easy to build, deploy and scale AI applications. Pick from over 12 varieties of GPUs, run large scale batch jobs, run realtime voice applications and much more.
Problem
Users face challenges in building, deploying, and scaling AI applications due to the complexities and costs associated with AI infrastructure.
Drawbacks: Limited GPU options, difficulties in running large scale batch jobs, challenges in deploying real-time voice applications.
Solution
A serverless AI infrastructure platform
Users can easily build, deploy, and scale AI applications by choosing from over 12 GPU options, running large scale batch jobs, deploying real-time voice applications, and more.
Core features: Serverless platform, choice of 12+ GPU varieties, support for large-scale batch jobs, real-time voice applications.
Customers
Data scientists, AI/ML developers, AI startups, companies working on AI projects.
Occupation: Data scientists, AI developers, AI startup founders.
Unique Features
Wide range of GPU options for flexibility in AI model training and deployment.
Support for running large scale batch jobs efficiently.
Ability to deploy real-time voice applications seamlessly.
User Comments
Easy to use and cost-effective for AI projects.
Great selection of GPUs for various AI applications.
Efficient handling of large scale batch jobs.
Seamless deployment of real-time voice applications.
Ideal platform for AI startups and developers.
Traction
Growing customer base with exponential increase in users.
High satisfaction rates among existing users.
Featured on multiple platforms and gaining popularity in the AI/ML community.
Market Size
$20.9 billion: Global AI infrastructure market size in 2023.
Increasing demand for serverless AI platforms due to the rising adoption of AI technologies.
Significant growth potential with more companies investing in AI infrastructure.