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Title
Deutsche Bahn runs a shared AI platform on Amazon SageMaker Studio for over 100 developers
…mpowered Deutsche Bahn to construct a robust platform for their AI initiatives, catering to over 100 developers and managing 20 SageMaker domains within a single AWS account. Lastly, we extend our sincere appreciation to Nico Seegert (d-fine) and Philip…
Description
Deutsche Bahn's AI platform team (DB Systel) operates Amazon SageMaker Studio as a group-wide platform where multiple data analytics teams develop, train and run ML workloads, for use cases ranging from railway maintenance and forecasting to future generative AI applications. Each team requests a SageMaker domain through a self-service portal, and the VPC has no outbound internet connectivity. A product owner says that within 8 weeks over 120 developers were onboarded and 25 SageMaker domains provisioned; the post's conclusion cites over 100 developers and 20 domains.
…n teams and projects, with a primary focus on data scientists and ML engineers. This platform helps Deutsche Bahn realize a spectrum of use cases, ranging from railway maintenance, forecasting, and future applications in generative AI. The AI platform managed service, built on SageMaker Studio, seamlessly aligns w…
…ated their own JupyterLab notebooks, which was not efficient or cost-effective. Within 8 weeks, we onboarded over 120 developers, provisioned 25 SageMaker domains, and quickly got started using this platform.” – Emmanuel Drosos, product owner at DB Systel. In this post, we explore how De…
Company
Deutsche Bahn
…erating AI projects and empowering data scientists at every level of expertise. Deutsche Bahn is a leading transportation organization in Germany with a revenue of 56.3 billion EUR (in 2022), a workforce of 336,884 employees…
Country
Germany
…erating AI projects and empowering data scientists at every level of expertise. Deutsche Bahn is a leading transportation organization in Germany with a revenue of 56.3 billion EUR (in 2022), a workforce of 336,884 employees…
Industry
Transportation
…erating AI projects and empowering data scientists at every level of expertise. Deutsche Bahn is a leading transportation organization in Germany with a revenue of 56.3 billion EUR (in 2022), a workforce of 336,884 employees…
Problem
Before the shared platform, each Deutsche Bahn data analytics team managed and operated its own JupyterLab notebooks, which was not efficient or cost-effective; the organization needed a scalable platform that meets compliance and security standards.
…data scientists from multiple data analytics teams within the DB organization. Before this, each team managed and operated their own JupyterLab notebooks, which was not efficient or cost-effective. Within 8 weeks, we onboarded over 120 developers, provisioned 25 SageMaker doma…
…organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards. Amazon SageMaker Studio offers a comprehensive set of capabilities for machine…
Solution
A dedicated AI platform team manages Amazon SageMaker Studio from a central platform account. Each data analytics team requests one or more SageMaker domains through an internal self-service portal; an orchestration workflow provisions the domain, an Azure AD group, an IAM role, an S3 bucket and a customer managed key through a CI/CD pipeline deploying an AWS CDK app. The VPC has no outbound internet connectivity, and lifecycle configuration shuts down idle instances to reduce unnecessary costs.
…multiple teams, while ensuring robust security and oversight. Solution overview The architecture at Deutsche Bahn consists of a central platform account managed by a platform team responsible for managing infrastructure and operations for SageMaker Studio. SageMaker Studio resources are grouped by SageMaker domains , each consisting o…
…s VPC and the SageMaker domain managed by AWS in the SageMaker service account. Each data analytics team is able to request one or multiple SageMaker domains through the company’s internal self-service portal. This process of ordering a SageMaker domain is orchestrated through a separate…
…utsch Bahn uses the lifecycle configuration as shown in the following figure to automatically detect and shut down idle instances in the SageMaker domain, reducing unnecessary costs. Due to restricted outbound connectivity, the data analytics team uses internal…
Business value
According to the DB Systel product owner, SageMaker Studio provided a common platform that is scalable and security compliant, and within 8 weeks over 120 developers were onboarded and 25 SageMaker domains provisioned. The post's conclusion cites over 100 developers and 20 domains in a single AWS account, and names high scalability through automation and self-service plus a consumption-based pricing model as major benefits.
…ated their own JupyterLab notebooks, which was not efficient or cost-effective. Within 8 weeks, we onboarded over 120 developers, provisioned 25 SageMaker domains, and quickly got started using this platform.” – Emmanuel Drosos, product owner at DB Systel. In this post, we explore how De…
…domain, and reduces maintenance overhead due to an overarching operating model. Major benefits include high scalability of the service, in large part due to automation and a self-service model, and an attractive pricing model that’s primarily based on resource consumption. “SageMaker Studio provided us a common platform that is scalable, security comp…
AI capabilities
Machine Learning
…icated AI platform team manages and operates the SageMaker Studio platform, and multiple data analytics teams within the organization use the platform to develop, train, and run various analytics and ML activities. The AI platform team’s key objective is to ensure seamless access to Workbench…
Technology
Amazon SageMaker
…moves people and goods. Deutsche Bahn has been at the forefront in adopting AI, using SageMaker Studio as a key AI platform. At Deutsche Bahn, a dedicated AI platform team manages and operates the SageMa…
Deployment model
cloud
…high availability, multiple identical private isolated subnets are provisioned. The SageMaker Studio domains are deployed in VPC only mode, which creates an elastic network interface for communication between the SageM…
Deployment options
cloud
…high availability, multiple identical private isolated subnets are provisioned. The SageMaker Studio domains are deployed in VPC only mode, which creates an elastic network interface for communication between the SageM…
Headline outcome
…ated their own JupyterLab notebooks, which was not efficient or cost-effective. Within 8 weeks, we onboarded over 120 developers, provisioned 25 SageMaker domains, and quickly got started using this platform.” – Emmanuel Drosos, product owner at DB Systel. In this post, we explore how De…
