Release Notes for EGS Version 1.15.5
Release Date: 22nd Dec 2025
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 🔈
Workload Placement Enhancements
You can now create and manage Workload Placements in a workspace using the EGS Portal or APIs. Workload Placement enables you to define and automate the deployment of workloads (applications, services, or tasks) across clusters in a workspace based on predefined templates and placement rules.
For more information, see:
For more information about Workload Placement through APIs, see:
Revamped EGS Portal
The EGS Admin Portal and User Portal have been revamped with a new interface that enhances the user experience and makes it easier to navigate and manage your EGS resources. The new UI includes improved navigation, enhanced visualizations, and streamlined workflows for common tasks.
Workspace NS Gateway
EGS now supports the configuration and management of the workspace NS (North-South) Gateway. The Workspace (Slice) NS Gateway is an ingress management component within EGS that manages external traffic entry (North-South) into the workspace.
For more information, see Workspace NS Gateway.