
Package
The Xebia Base MLOps platform includes a collection of cookie-cutter templates that facilitate the seamless deployment of machine learning models into production. These templates guarantee speedy and reliable deployment
Bring Data Science and AI use cases into production with the lowest possible time to market.
Leverage the Xebia MLOps Platform for tailored data and machine learning solutions. Experience fast deployment and seamless integration.
The MLOps Platform has been designed and developed with deploying and running of data solutions. The result is a platform that is both easy to maintain and provides jaw-dropping fast time-to-market.
Deploying machine learning models from development environments to production systems can be challenging. Scaling models to handle large-scale data, integrating them into existing infrastructure, ensuring real-time performance, and managing dependencies are common hurdles faced by data scientists. The Xebia Base MLOps platform solves these challenges.
Setting the Standard
The Xebia Base MLOps platform includes a collection of cookie-cutter templates that facilitate the seamless deployment of machine learning models into production. These templates guarantee speedy and reliable deployment.
Short Time to Market
Instead of building a custom infrastructure, the MLOps Platform can be provisioned and integrated with existing infrastructure in a matter of days to weeks, not months. After this time the client will have a fully operational production quality platform where machine learning models and data products can be effortlessly deployed.
Business Value
Our primary focus is to deliver business value, as data use cases have the potential to create significant value for the business. While deploying our MLOps platform is an essential step, it is only half the story. Our ultimate goal is to implement the data use cases on top of the platform, thereby generating value for the business.
Easy Integration
Due to its modular design, the MLOps platform can be seamlessly integrated with existing infrastructure. It has the capability to integrate with current data infrastructure without requiring extensive modifications to the existing stack.
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