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
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
Product Highlights
Elastic GPU Service
Kubernetes-native GPU orchestration for AI workloads
Mixed GPU support, semantic routing, SLA-aware scaling
Benchmark: 3× throughput vs HPA, 75% latency reduction
Smart Scaler
Reinforcement Learning-based scaling for AI inference
Predictive HPA for Hugging Face, Llama, DeepSeek
Supports pay-per-work-output billing models
KubeAgents
AI co-pilot for Kubernetes operations
Detects issues, enforces policies, self-heals in real time
KubeTally
Live cost observability & smart resource allocation
Multi-cluster cost breakdowns, utilization insights, idle tracking
KubeAccess
Zero-trust, time-bound access to Kubernetes
RBAC, LDAP/OIDC, audit hooks — all built-in
KubeSlice
Multi-cluster, multi-cloud workload connectivity
CNCF Sandbox project; foundation for cloud-native networking
KubeBurst
Cloud bursting for GPU workloads
Instantly burst from datacenter to cloud, no app changes
Smart Karpenter
Behavior-based autoscaling built on AWS Karpenter
Align scaling decisions to app behavior and workload intent
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.”
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.
See a demo
Connect with us
If you can relate to the problems we solve and are interested in our products