KubeSlice
Avesha Enterprise for KubeSlice
Service Connectivity Layer for managing fleet of clusters for better application performance
KubeBurst
On demand cloud capacity for datacenters
KubeTally
Multi - cluster chargeback by application and teams
KubeAccess
Service gateway for multi-cloud applications
Smart Scaler
Smart Scaler
Predictive autoscaling based on application behaviors
Smart Event Scaler
AI assisted infrastructure scaling for peak traffic days
Smart Karpenter
Predictive autonomous scaling of pods and nodes
Elastic GPU Service
EGS
Single/Multi-cluster and multi-cloud GPU provisioning and management platform
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OPEN-SOURCE POWER WITH KUBESLICE
Optimize Your AI with Elastic GPU Service (EGS)
EGS is powered by KubeSlice, an open-source technology that optimizes GPU management. It creates a versatile virtualization layer compatible with any scheduler, AI model, infrastructure, or ML framework.
Kubernetes-Native
Built entirely on Kubernetes, EGS ensures robust, scalable, and efficient AI operations, perfectly suited for modern cloud environments.
Comparative Analysis
EGS Enhancements on Run, Volcano, and MLFlow
| TASK | Run, Volcano, ML Flow | EGS Enhancements | Impact (Fixed Time: Maximize Jobs) | Impact (Fixed Jobs: Minimize Time) |
Job Submission | Efficient | GPU Request Management | EGS:+44% More Throughput | N/A |
Resource Allocation | Dynamic | Wait Time Management | EGS:+44% More Allocations | Median wait time reduced to 4 mins from 24 mins |
Optimization | Standard | Intelligent Resource Allocation | EGS:+44% More Allocations | N/A |
Collaboration | Basic Sharing | GPU Sharing by Teams | N/A | EGS:-32% Completion Time |
Monitoring | Basic | Advanced Observability | Enhanced with EGS | Enhanced with EGS |
Job Submission
Resource Allocation
Optimization
Collaboration
Monitoring
Elastic GPU Service
Welcome to the Future of AI Infrastructure
Elastic GPU Service (EGS) is here to revolutionize the way AI engineers manage and optimize GPU resources across single cluster, multi-cluster and multi-cloud environments. Whether you’re looking to streamline your AI operations or enhance the performance of your machine learning models, EGS is designed to meet your needs with precision and efficiency.
Features
Automatic GPU Provisioning
Experience seamless GPU resource allocation across multiple clusters and clouds, allowing your AI projects to scale effortlessly.
Multi-Tenancy Support
Securely isolate data across different tenants, ensuring your AI workloads are safe and independent.
Real-time Monitoring & Alerts
Stay ahead with continuous monitoring, real-time alerts, and proactive error detection to keep your AI operations running smoothly.
RBAC & User Priority
Implement role-based access control and user priority settings to ensure fair and secure resource distribution.
Benefits
- Optimal GPU Utilization:Maximize the use of your GPU clusters, reducing idle time and improving overall efficiency.
- Reduced Wait Times:Minimize delays in GPU allocation, ensuring your AI projects progress without interruptions.
- Prioritization & Pre-empting:Prioritize critical AI projects, allowing for efficient pre-emption and resource allocation.
- Predictive Analytics:Leverage advanced analytics to predict and remediate potential GPU errors before they impact your operations.
Try EGS Now on Oracle Cloud Marketplace
Discover how EGS can transform your AI infrastructure. Download EGS Freemium Now from Oracle Cloud Marketplace and start optimizing your GPU resources today!
Early Access
Join the EGS Alpha User Council
Are you an early adopter or an AI enthusiast looking to shape the future of GPU management? We invite you to join the EGS Alpha User Council. As a member, you will:
Gain exclusive early access to new features and updates.
Provide valuable feedback that will directly influence the development of EGS.
Network with other leading AI engineers and professionals.
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