Base MLOps Platform
Bring Data Science and AI Use Cases into Production at the Lowest Possible Time to Market.
MLOps is the practice of ensuring machine learning (ML) models are reliably deployed and maintained in production environments. It identifies and solves pain points in AI workflows to enhance their efficiency, reproducibility, and scalability. By adopting MLOps, organizations can make accurate, data-driven decisions faster, integrate ML seamlessly into business processes, and align AI initiatives with strategic goals to drive a lasting competitive advantage. Leverage the Xebia MLOps Platform for customized data and machine learning solutions. Experience fast deployment and seamless integration.
Machine Learning Challenges
Project Fails
A high percentage of ML projects are never delivered, either due to technical barriers or a lack of coordination between teams.
Time, Cost, & Resource Consuming
Even when a company succeeds in deploying an ML project, the process tends to be long, complex, and expensive — demanding significant effort from both data science and engineering teams.
Wasted Business Potential
According to the Gartner report, by 2025, 10% of enterprises that establish AI engineering best practices will generate at least three times more value from their AI efforts than the 90% of enterprises that do not.
MLOps Platform
0:00/0:00A Tailored-To-Fit Solution to Productize Data and Machine Learning
The MLOps Platform is a tailored-to-fit solution built using proven, cutting-edge components that make the process of operationalizing data products a breeze. Designed and developed based on decades of experience in deploying and running data solutions, the Platform is easy to maintain and delivers jaw-droppingly fast time-to-market.
Business Benefits
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.
Deliver Value Faster
Benefits of MLOps Platform
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.
The Architecture of an MLOps Platform
The MLOps Platform runs natively and leverages the following clouds: GCP, Azure, AWS. It also leverages Snowflake and Databricks data clouds. The Platform's modular design allows us to tailor it to the client's needs and existing technologies.
Google Cloud MLOps Platform
AWS MLOps Platform
Technologies used
To build the MLOps Platform we select the best components fitting the needs of our clients, leverage cloud-native services and component them with best-of-breed open-source technologies. At Xebia Base, our MLOps Engineers carefully select the most suitable tools, resulting in a stable, user-friendly, and scalable platform.
Installation process
The platform is deployed using pre-configured modules based on infrastructure as code, enabling users to independently run and maintain the platform. We provide the infrastructure as code stack to our clients, ensuring they have ownership and are, of course, free to modify it as needed.
Our Ecosystem
Partners
Our Ideas
Insights & Perspectives
MLOps Beyond the Hype
Cut through the buzz and discover how MLOps can turn your ML prototypes into scalable, production-ready solutions.
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AI or ROI? Architecting for Success
This is a must-have webinar series for leaders ready to unlock their AI investment potential, avoiding budget waste and creating sustainable AI-driven growth.
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Are You Ready for MLOps?
MLOps is maturing beyond the hype, but to unlock its full value, organizations must first lay the right foundations and know when—and how—to adopt it effectively.Read Blog
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