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Elastic GPU Service

Try our new GPU Cost & Efficiency Optimization product for FREE!

Build Cost Efficient
AI Workloads with EGS

Combining GPU Power with Avesha's Kubernetes Expertise for an Unmatched GPU Provisioning Platform

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GPU and CPU

Dynamic Duo for AI Workloads

Modern AI workflows require seamless collaboration between CPUs and GPUs. Avesha orchestrates the perfect balance between compute resources, ensuring your training, inference, and real-time applications run with maximum efficiency. By intelligently managing workloads across CPU and GPU infrastructures, we unlock the full potential of hybrid compute environments.

What does this mean for you?

Optimized Workloads

Optimized Workloads

Efficiently allocate jobs to CPUs and GPUs based on task complexity and resource needs.

Cost Efficiency

Cost Efficiency

Avoid overprovisioning while ensuring peak performance for compute-intensive tasks.

Enhanced Scalability

Enhanced Scalability

Easily scale across multi-cloud and on-prem environments without compromising on speed or cost.

Optimize

How EGS works

Dynamic Orchestration

EGS integrates seamlessly with Kubernetes to manage multi-cluster resource allocation, addressing dependencies and workload priorities.
Ensure secure, efficient resource sharing across teams and projects while isolating sensitive workloads.
• Prioritize tasks with output dependencies to avoid pipeline delays.
• Enable near-parallel allocation for parallel tasks
Integrate with Directed Acyclic Graphs (DAG) for reproducible workflows and just-in-time orchestration of complex pipelines.
Proactively manage GPU resources using real-time metrics and historical execution patterns.
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At a glance

Key features of EGS

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Dynamic Resource Allocation
Align resources with real-time workload needs. With EGS’s time-slice feature, unused GPU capacity is automatically reallocated, ensuring efficiency and reduction costs.
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Spot Instance Utilization
Leverage cost-effective spot GPUs for batch jobs and non-critical tasks, significantly cutting compute expenses.
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Comprehensive Observability with Real-Time Clarity
Stay ahead with continuous monitoring, real-time alerts, and proactive error detection to keep your AI operations running smoothly.
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Predictive Cost Optimization
Implement role-based access control and user priority settings to ensure fair and secure resource distribution.
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Smart Orchestration for AI Workflows
Experience seamless GPU resource allocation across multiple clusters and clouds
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Cross-Cloud Flexibility
Securely isolate data across different tenants, ensuring your AI workloads are safe and independent.
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EGS Automation for Seamless Operations
Stay ahead with continuous monitoring, real-time alerts and proactive error detection.
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Multi-Tenancy Support
Implement role-based access control and user priority settings to ensure fair and secure resource distribution.

Making AI/MLOPs Easier: EGS integrates observability, orchestration, and cost optimization for GPUs, seamlessly combining these capabilities through automation to deliver significant business value.

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EGS optimizes GPU infrastructure for AI engineers by providing usage optimization, observability

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EGS Benefits

Elastic GPU Service Enterprise

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Cost Efficiency: GPU cluster time-slicing and spot instance utilization deliver up to 40% savings without compromising workload performance.
Enhanced Observability: Real-time dashboards provide actionable insights into GPU performance, eliminating inefficiencies and optimizing workflows.
Improved Throughput: Optimize job completion rates and reduce delays, achieving up to 44% higher throughput with advanced scheduling and workflow optimization.
Automated Remediation: Continuous monitoring and dynamic reconfiguration of resources minimize manual intervention while ensuring smooth operations.
Scalability and Modularity: Incrementally adopt features like cross-cloud flexibility, dynamic scaling, and observability to future-proof your infrastructure.

Empower

Who We Empower

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For NEO Cloud Providers

Enable a new generation of cloud services with Avesha. Our solutions provide seamless GPU and CPU orchestration to help you deliver:

Cost-effective GPUaaS

Provide GPU-as-a-Service without overburdening resources.

Elastic Compute Scaling

Scale compute resources dynamically to meet customer demand spikes.

Multi-Tenant Isolation

Ensure secure and efficient resource sharing for your users.

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For Enterprise AI

Empower your research and development teams with unmatched infrastructure efficiency. Avesha enables

Faster Model Training

Distribute compute-intensive AI training jobs intelligently across CPUs and GPUs.

Seamless Multi-Cloud Workflows:

Work across diverse environments without worrying about infrastructure bottlenecks.

Real-Time Inference:

Accelerate low-latency AI workloads to keep up with your application demands.

Enterprise Ready

Best-in-Class Experience for
Data Scientists, AI Engineers, and Platform Engineers

45%

Increase

In Node Allocations

30%

Reduction

In GPU Wait Time

47%

Reduction

In GPU Cost

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Is Your Infrastructure Working Hard Enough?

Discover Your Wastage Ratio (WR)

The WR reflects how often your infrastructure has idle resources while tasks remain blocked. EGS helps reduce your WR to near zero by optimizing GPU and CPU utilization, ensuring your investment drives maximum results.

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Unleash the Power of AI with EGS

If you can relate to the problems we solve and are interested in our products