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Self Service

End-User Self-Service for Automated User Profile Creation in SageMaker Domains

As organizations expand their use of Amazon SageMaker to empower data scientists and machine learning (ML) engineers, managing access to development environments becomes a critical concern. In the last blog, we discussed how SageMaker Domains can provide isolated, secure, and fully-featured environments for users.

However, manually creating user profiles for every user quickly becomes a bottleneck—especially in large or fast-growing organizations. Asking users to submit an IT ticket and wait for days before it can be fulfilled is unacceptable in today's fast paced environment.

In this blog, we will describe how organizations use Rafay's GPU PaaS to provide their users with a self-service experience to onboard themselves into SageMaker Domains without waiting on IT or platform teams. This not only improves efficiency and user experience but also ensures consistency and compliance across the organization.

SageMaker AI Self Service

Developer Self Service Access to DeepSeek on Amazon EKS

A few weeks back, Tiago Reichert from AWS published a very interesting blog on AWS Community showcasing how you can deploy and use the DeepSeek-R1 LLM on an Amazon EKS Cluster operating in Auto Mode. Detailed step-by-step instructions for this are documented in this Git Repo.

In this blog, we will describe how we took AWS's excellent blog and packaged it to provide a turnkey, 1-click self-service experience for non AWS administrator type users in a typical enterprise. It took one of our solution architects 30 minutes to wrap AWS's example code using Rafay's Environment Manager and PaaS.

Over the last few weeks, we have been asked to demonstrate this every day to several customers and partners. Given the significant interest in DeepSeek and the self service experience, we believe others will benefit from this blog.

Rafay, DeepSeek and EKS