Release Notes for EGS Version 1.17.1
Release Date: 16th Apr 2026
The Elastic GPU Service (EGS) platform is an innovative solution designed to optimize GPU utilization and efficiency for your AI projects. EGS leverages the power of Kubernetes to deliver optimized GPU resource management, GPU provisioning, and GPU fault identification.
We continue to add new features and enhancements to EGS.
These release notes describe the new changes and enhancements in this version.
- Across our documentation, we refer to the workspace as the slice workspace. The two terms are used interchangeably.
- The EGS Controller is also referred to as the KubeSlice Controller in some diagrams and in the YAML files.
- The EGS Admin Portal is also referred to as the KubeSlice Manager (UI) in some diagrams and in the YAML files.
What's New 🔈
Dynamic Provisioning of GPRs
Dynamic provisioning of GPU Provisioning Requests (GPRs) is now available for clusters using Linode LKE. This feature allows the system to automatically scale GPU node pools based on demand and idle status, optimizing resource utilization and cost efficiency.
For more information, see Dynamic Node Allocation for GPRs.
Issues Resolved ✅
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Slice RBAC now creates a namespace RBAC token for each namespace. This enhancement ensures that users have the necessary permissions to access and manage their assigned namespaces within the workspace, improving security and access control.
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Validate the RBAC is created immediately after applying roles in the Admin Portal. This improvement ensures that any changes made to the RBAC roles in the UI are immediately reflected in the system, allowing for real-time updates and ensuring that users have the correct permissions without delay.