We are thrilled to announce the official release of EGS version 1.16.0, now available as of May 21, 2025.

What is EGS?

Avesha EGS stands for Elastic GPU Service, a platform developed by Avesha to optimize GPU and CPU resource management for AI and machine learning workloads.

Key Features of Avesha EGS:

• Dynamic Resource Allocation: Automatically adjusts GPU and CPU resources based on real-time workload demands, ensuring optimal utilization and reducing idle times. 
• Predictive Scheduling: Uses historical data and real-time metrics to anticipate task completions, allowing for proactive resource provisioning and minimizing pipeline delays. 
• Multi-Cloud and Multi-Cluster Support: Seamlessly manages resources across various cloud providers and Kubernetes clusters, providing flexibility and scalability for diverse deployment environments.
• Advanced Observability: Offers comprehensive monitoring tools, including real-time dashboards and alerts, to provide insights into GPU performance and system health. 
• Cost Optimization: Incorporates features like GPU time-slicing and spot instance utilization to reduce operational costs without compromising performance.
• Multi-Tenancy and Security: Supports namespace-based multi-tenancy with role-based access control, ensuring secure and efficient resource sharing among teams and projects.

Avesha EGS is designed to address the challenges of managing GPU-intensive workloads, offering a solution that enhances efficiency, scalability, and cost-effectiveness in AI operations.

Key Highlights in EGS 1.13.0

Dashboard Updates

The Admin and User Portal dashboards now feature a new GPU Infrastructure Health tab, which provides insights into GPU performance metrics such as power usage, memory usage, and temperature over a specified time. 

For more information, see: 

• Admin Portal Dashboard's GPU Infrastructure Health
• User Portal Dashboard's GPU Infrastructure Health

The Cost Analysis tab on the dashboard now includes a new GPR filter, allowing users to refine and narrow down cost analysis more effectively.

GPU Requests

In the Admin Portal, the GPU Requests page now includes an option to access detailed cost analysis for a specific GPR. To view this information:

1. Navigate to the Actions Menu next to the desired GPU Request. 
2. Select the View Cost Analysis option.

Simplified Namespaces Onboarding

 The onboarding process has been simplified with fewer steps, reducing the time and effort required to set up namespaces. Clear, step-by-step guidance ensures a smoother user experience, even for those unfamiliar with the process. 

For more information, see Onboard Namespaces. 

What’s Next?

These updates highlight our ongoing commitment to providing enhanced insights and greater control for our users. Check out the latest documentation for detailed guidance on using these enhancements.

Have Questions or Suggestions?

We value your feedback and are always here to assist you. Whether you have questions or ideas for improvement, don’t hesitate to reach out!