Release Notes for EGS Version 1.18.0

Release Date: 21st September 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.

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• 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 🔈

Support for RookFS

EGS now supports RookFS on worker clusters, giving you persistent storage for your workloads. Use it for databases, AI/ML models, and shared datasets accessed by multiple pods.

For more information, see Install RookFS.

Issues Resolved

This release version includes various performance and stability improvements.