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OPEN-SOURCE POWER WITH KUBESLICE

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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.

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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

TASKRun, Volcano, ML FlowEGS EnhancementsImpact (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

Run, Volcano, ML Flow
Efficient
EGS Enhancements
GPU Request Management
Impact (Fixed Time: Maximize Jobs)
EGS: +44% More Throughput
Impact (Fixed Jobs: Minimize Time)
N/A

Resource Allocation

Run, Volcano, ML Flow
Dynamic
EGS Enhancements
Wait Time Management
Impact (Fixed Time: Maximize Jobs)
EGS: +44% More Allocations
Impact (Fixed Jobs: Minimize Time)
Median wait time reduced to 4 mins from 24 mins

Optimization

Run, Volcano, ML Flow
Standard
EGS Enhancements
Intelligent Resource Allocation
Impact (Fixed Time: Maximize Jobs)
EGS: +44% More Allocations
Impact (Fixed Jobs: Minimize Time)
N/A

Collaboration

Run, Volcano, ML Flow
Basic Sharing
EGS Enhancements
GPU Sharing by Teams
Impact (Fixed Time: Maximize Jobs)
N/A
Impact (Fixed Jobs: Minimize Time)
EGS: -32% Completion Time

Monitoring

Run, Volcano, ML Flow
Basic
EGS Enhancements
Advanced Observability
Impact (Fixed Time: Maximize Jobs)
Enhanced with EGS
Impact (Fixed Jobs: Minimize Time)
Enhanced with EGS

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.

ai infra

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

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Optimal GPU Utilization:Maximize the use of your GPU clusters, reducing idle time and improving overall efficiency.
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Reduced Wait Times:Minimize delays in GPU allocation, ensuring your AI projects progress without interruptions.
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Prioritization & Pre-empting:Prioritize critical AI projects, allowing for efficient pre-emption and resource allocation.
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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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