Outcomes the user will see
The EGS Advantage at a glance
Faster
AI training and inference
with near-zero latency

Seamless GPU orchestration across clusters, clouds, and regions
Unified observability and control across compute, network, and storage
Higher utilization, lower cost,
and predictable performance
The problems we solve
Before EGS
AI workloads face GPU underutilization and network bottlenecks.
Training and inference pipelines remain fragmented across silos
Scaling across regions adds latency, cost, and operational complexity.
Limited visibility into how compute, storage, and network interact.
Impact we create
Proven Results at Scale
40-60%
GPU/CPU Utilization + with better scaling, rightsizing and bin packing
35%
Cost - with dynamic allocation of GPU/CPU workloads and budget aware scheduling
3x
Faster Inference with dynamic placement of workloads and always available pools
Simpler
Operations with one control plane for multi cluster and multi cloud workloads
What EGS
(Elastic Grid Service) is
EGS unifies compute, network, and storage into a single intelligent fabric—dynamically placing and right-sizing AI workloads by latency, cost, and availability targets. The result: elastic capacity, predictable performance, and GPU-agnostic portability across clusters, clouds, and regions.

Testimonials
Insights from Your Industry Peers
”InpharmD's use of Nebius AI Cloud, enabled by Avesha's smart bursting, shows how dedicated AI infrastructure enables progress in critical industries such as pharma and healthcare while improving margins.”
Global Head of Healthcare & Life Sciences Growth, Nebius
“Smart Scaler fundamentally changed the way we manage our cloud infrastructure. What used to be a manual, reactive process is now fully automated and predictive. We’ve significantly reduced costs while improving performance—and our teams can finally focus on innovation instead of firefighting.”
Sr. Director, Cloud Engineering, Finvi
“With Avesha's Elastic AI Services we're able to optimize our GPU workloads dynamically, ensuring we maximize performance without overpaying for underutilized resources. This allows us to scale efficiently while keeping our research and operational costs predictable and manageable.”
CTO, InpharmD
“Partnering with Avesha allows us to have our on-premises and cloud clusters securely communicate with each other. It also ensures that the same namespaces can be used in multiple environments.”
Co-Founder & CEO, G&L Systemhaus
“Cox Edge operates a complex and highly distributed edge cloud network across data centers in the US, so the ability to establish secure, low latency connectivity, and intelligently manage traffic routing is a core requirement. We evaluated all sorts of network solutions, and Avesha’s KubeSlice really stood up not only as a solution to today's challenges, but as a framework to build additional networking products and capabilities in the future.”
GM, Cox Edge
“Humans aren’t good at managing that level of complexity in a stressful scenario, even without the stressful scenario it’s really complicated. So that is where technology (like Smart Scaler) does a really good job. It can crunch numbers for you, and take your business requirements, and implement them without you having to be there under pressure.”
Head of Engineering, The Score
“To date, application and cloud operations teams spend a lot of underappreciated effort trying to predict the cost and performance tradeoffs of different settings for autoscaling pods. Solutions like Avesha’s Smart Scaler can offload the heavy lifting of these estimation processes so cloud native engineers can realize just-in-time optimized HPA settings across their Kubernetes application environments.”
Principal Analyst at Intellyx
“Avesha KubeSlice is a smart tool that allows us to easily connect workloads from datacenters to clouds. If you are running Kubernetes in Hybrid Cloud, you get faster resiliency with Avesha KubeSlice. Also the ability to isolate workloads by tenant with Slices is a game changer for Hybrid Cloud.”
Director of Solution Architecture, Ensono
“We are excited to partner with Avesha to continue to innovate and make it easier to work with multi cluster applications and provide a whole suite of capabilities that the Avesha platform provides.”
EVP Products, Phoenix NAP
Use Cases
Training
Accelerate model training with elastic GPU bursting, intelligent scheduling, data locality, and cost-optimized pipeline orchestration
Inferencing
Optimize real-time inferencing pipelines, achieving low-latency predictions, dynamic GPU scaling, and cost-aware performance
SRE Agents
Autonomous SRE agents monitor, diagnose, and remediate issues, guaranteeing uptime, compliance, and optimal resource efficiency.
FinOps
Cut spend via predictive scaling and right-sizing of pods, nodes, efficient GPU job allocations, delivering per-team cost visibility
Burst Readiness
Instantly scale GPU and CPU workloads for demand spikes via automated bursting, ensuring performance continuity and cost control.
Autoscaling and Autosizing
Easily scale workloads across multi-cloud and on-prem environments without compromising on speed or cost.
Developer/Prod Environments
Avoid overprovisioning while ensuring peak performance for compute-intensive tasks.
The AgentOps Movement
Say goodbye to dashboards. Say hello to action.
Autonomous, slice-aware AI agents that brings real-time intelligence and decision-making into Kubernetes operations.

Avesha and SUSE Launch Joint AI Blueprint for Enterprises, Combining EGS and SUSE AI for Complete GPU Orchestration and Self-Service Simplicity
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If you can relate to the problems we solve and are interested in our products