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FAQ

Turn Your AI Infrastructure Autonomous

Harness the power of agentic operations, intelligent orchestration, and cloud-agnostic GPU scaling all on one platform.

Avesha Enterprise for KubeSliceSmart ScalerKubeTallySmart KarpenterKubeBurstElastic GPU Service (EGS)KubeAccessKubeAgent

Trusted by AI innovators and cloud leaders

Proven in production

across Fortune 500 and leading AI labs

3x

Higher AI Throughput

70%

Cost Savings

4x

Latency Reduction

60%

Less Infra Cost per 1M Tokens

45% → 95%

GPU Utilization

The Hidden Tax of AI

Idle GPUs, 3am alerts and runaway spend

Long GPU and CPU queues

Expensive resources sit idle while backlogs grow.

Siloed clusters & duplicate tooling

Every cloud, every on-prem site has its own playbook.

3 AM incidents

Autoscaling of infrastructure cannot keep up with LLM surges and real-time inference spikes

Uncontrolled costs

Over-provision today or miss SLAs tomorrow- either way costs soar.

Why Avesha?

Unified AI Infrastructure Stack

Avesha KubeAgents watch every pod, job, and token in motion- learning normal behavior, enforcing policy, and scaling GPUs and CPUs in lock-step. When demand spikes, queues clear and budgets stay intact. When demand falls, wasted cores vanish before finance even sees the bill period.

AI-Native AgentOps

Self-healing, SLA-driven Kubernetes with KubeAgents

Full-Stack Orchestration

Automate CPU/GPU scaling across cloud and on-prem

Ai Infrastructure

Cost & Carbon-Aware Infra

Real-time FinOps with KubeTally

Seamless Connectivity

Slice-aware multi-cluster and hybrid access

Burst-ready Architecture

Cloud bursting without rearchitecture or code change

Testimonials

Insights from Your Industry Peers

“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.”

finvi
- Rojal Pradhan

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.”

inpharm_D
- Tulasee Rao Chintha

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.”

G&L systemhaus
- Alexander Leschinsky

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.”

cox-edge
- Ron Lev

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.”

thescore
- Shlomo Bielak

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.”

intellyx
- Jason English

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.”

ensono
- John Repucci

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.”

phoenix-nap
- William Bell

EVP Products, Phoenix NAP

Use Cases

Training

Training

Accelerate model training with elastic GPU bursting, intelligent scheduling, data locality, and cost-optimized pipeline orchestration

Inferencing

Inferencing

Optimize real-time inferencing pipelines, achieving low-latency predictions, dynamic GPU scaling, and cost-aware performance

SRE Agents

SRE Agents

Autonomous SRE agents monitor, diagnose, and remediate issues, guaranteeing uptime, compliance, and optimal resource efficiency.

FinOps

FinOps

Cut spend via predictive scaling and right-sizing of pods, nodes, efficient GPU job allocations, delivering per-team cost visibility

Burst Readiness

Burst Readiness

Instantly scale GPU and CPU workloads for demand spikes via automated bursting, ensuring performance continuity and cost control.

Autoscaling and Autosizing

Autoscaling and Autosizing

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

Developer/Prod Environments

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.

Cision

Avesha Announces Breakthrough AI Scaling with Smart Scaler, Delivering Up to 3x Performance Gains

Read More

Cision

Avesha's KubeSlice is now a Cloud Native Computing Foundation (CNCF) Sandbox Project

Read More

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Why We Built Smart Scaler

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