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Xebia Solutions

Google Cloud Base 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 GCP MLOps Platform is a custom solution crafted with advanced, state-of-the-art components that simplify the process of operationalizing data products.

Built upon decades of expertise in deploying and managing data solutions, the GCP 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.

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Xebia Base GCP MLOps Platform

Xebia Base GCP MLOps Platform accelerates the deployment of machine learning models into production, supporting a full development cycle and structured way of working.

  1. Accelerates deployment from months to weeks
  2. Supports full development cycle from POC to MVP in production
  3. Includes infrastructure for experimentation, deployment, and monitoring

Learn more in our video!

Technologies used

In developing the GCP MLOps Platform, we pick the best components that fit our clients' needs, harnessing cloud-native services and combining them with high-quality open-source technologies. At Xebia Base, our MLOps Engineers meticulously choose the right tools, creating a platform that is stable, user-friendly, and scalable.

Installation process

Using pre-configured modules built on infrastructure as code, the platform is deployed in a manner that allows users to independently manage and maintain it.

We provide clients with the infrastructure as code stack, ensuring they have complete ownership and the freedom to make necessary modifications.

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 Azure. It also leverages Snowflake and Databricks data clouds.

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

GCP MLOps Platform

Simplifying the Process of Operationalizing Data Use Cases

Deploying machine learning models from development environments to production systems presents numerous challenges. Data scientists frequently face hurdles like scaling models for large data volumes, integrating them into existing infrastructure, maintaining real-time performance, and handling dependencies. The Xebia Base MLOps platform provides solutions to these common problems.

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Benefits It Delivers to Businesses

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

Setting the Standard

The Xebia Base MLOps platform features a collection of pre-configured templates designed to streamline the deployment of machine learning models into production. These templates guarantee fast and reliable deployment.

Short Time to Market

he MLOps Platform can be provisioned and integrated with existing infrastructure in a timeframe of days to weeks, avoiding the lengthy process of building a custom infrastructure.

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

Business Value

Our main objective is to provide business value, as data use cases can greatly enhance business performance.

While deploying our MLOps platform is a key step, it is only half of the process. The ultimate goal is to implement data use cases on this platform, thereby creating tangible value for the business.

Easy Integration

The MLOps platform features a modular design that allows for seamless integration with existing infrastructure.

It can integrate with the current data infrastructure without demanding significant changes to the existing stack.

References

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