Skip to content
Xebia Solutions

Azure MLOps Platform

Bring Data Science and AI use cases into production with the lowest possible time to market.

A Tailored-To-Fit Solution to Productize Data and Machine Learning Solutions

The Azure MLOps Platform is a bespoke solution designed with cutting-edge components to streamline the operationalization of data products.

Built upon decades of expertise in deploying and managing data solutions, the Azure MLOps Platform is both easy to maintain and offers remarkably swift time-to-market.

The MLOps Platform is part of Xebia Base, our suite of tailored-to-fit platforms.

xebia-base-logo

 

Xebia Base Azure MLOps Platform

The Xebia Base Azure MLOps platform accelerates the deployment of machine learning models into production, supporting a structured development cycle and scalability for organizations of all sizes.

  1. 🏗️ Built on MLOps best practices and structures for faster integration of models.
  2. 📈 Scales with increasing data sizes and prediction requests.
  3. 💼 Fits any size of company with 80% pre-built and 20% customizable components.
  4. 🌐 Deployed within weeks based on current data architecture requirements.

Learn more in our video!

Technologies used

To build the Azure MLOps Platform, we select the finest components that meet our clients' needs, leveraging cloud-native services and integrating them with top-tier open-source technologies. At Xebia Base, our MLOps Engineers carefully choose the most suitable tools, resulting in a stable, user-friendly, and scalable platform.

Installation process

The platform is set up with pre-configured modules leveraging infrastructure as code, which allows users to run and maintain the platform independently.

We provide our clients with the infrastructure as code stack, giving them full ownership and the flexibility to adjust it as needed.

Environments

The GCP MLOps Platform is custom-built to run natively on Google Cloid, but it is also available in versions tailored to AWS and GCP. It also leverages Snowflake and Databricks data clouds.

The Platform's modular design allows us to tailor it to client needs and existing technologies.

Azure MLOps Platform

Simplifying the Process of Operationalizing Data Use Cases

Moving machine learning models from development to production environments can be a daunting task. Common obstacles for data scientists include scaling models to handle extensive data, integrating them with existing infrastructure, guaranteeing real-time performance, and managing dependencies.

The Xebia Base Azure MLOps platform effectively overcomes these challenges.

Azure MLOps platform

Benefits It Delivers to Businesses

Xebia Base Azure MLOps Platform delivers value to the business in a short amount of time.
 

Setting the Standard

The Xebia Base MLOps platform includes an array of standardized templates that simplify the process of deploying machine learning models into production. These templates ensure efficient and reliable deployment.

Short Time to Market

Instead of developing a custom infrastructure, the MLOps Platform can be deployed and integrated with current systems in days to weeks, not months.

After this short integration period, clients will have a fully functional production-quality platform for easy deployment of machine learning models and data products.

Business Value

We prioritize delivering business value, understanding that data use cases can significantly benefit the business.

Deploying our MLOps platform is an important step, but it's only one part of the process. Our ultimate aim is to implement data use cases on the platform, thus generating considerable value for the business.

Easy Integration

With its modular design, the MLOps platform can be smoothly integrated into existing infrastructure.

It has the capability to interface with current data infrastructure without requiring major modifications to the existing setup.

References

  • Mollie Logo
  • Kramp-1
  • Gumtree Logo-2
Questions?

Get in touch with us

Contact us