GPU & Kubernetes Cluster Autoscaling
GPU & Kubernetes
Cluster Autoscaling
Run AI workloads faster, cheaper, and more predictably.
Kedify makes GPUs and clusters scale the way modern inference, training, and data pipelines demand; in real time.
Cut cloud costs by 30–40%. Reclaim engineering time.
From the core maintainers of
Why Customers Choose
Kedify
They Choose Us Because We Deliver
- Cut costs fast: Most teams reduce spend by 20–40% in their first few months
- Get value immediately: Install in minutes, integrate quickly, optimize instantly
- Scale proactively: Predict future demand and respond before spikes hit
- Run with enterprise confidence: Built-in RBAC, audit logging, and FIPS-
compliant options - Buy flexibly: Deploy through AWS, GCP, and Red Hat Marketplaces
Kedify helps teams move faster, scale smarter, and stay in control.
“We haven’t touched our scaling config in months, and our bills dropped.”
— Surag Mungekar, CISO, Rupert
“Before Kedify, scaling up was a constant challenge. Now, our platform adapts instantly to our users' needs, and we've freed up our team to focus on new features rather than managing resource spikes.”
— Rafael Tovar, Cloud Operations Leader, Tao Testing
“With Kedify, our developers get the best of both worlds, cost-efficient scaling like Google Cloud Run, but fully integrated within our Kubernetes-based platform.”
— Jakub Sacha, SRE, trivago
Designed for Intelligent Cloud Efficiency
Stop scaling on CPU → start scaling on intent and cost
GPU Autoscaling
Scale inference, fine-tuning, and multimodal workloads on real GPU signals.
Cluster Autoscaling
Dynamically scale Kubernetes clusters with predictive policies across clouds.
30–40% lower GPU spend
While maintaining stable p95s even under burst traffic and varying workloads.
Who Already Uses The Technology
KEDA powers autoscaling for companies you know including Microsoft, FedEx, Grab,
Qonto, Alibaba Cloud, Red Hat and many more. Kedify gives these capabilities
turnkey
to enterprises that don’t want to build and maintain it themselves.
The ROI you can expect
Powered by precision autoscaling, built-in observability, and robust financial reporting.
| KPI | Typical Results |
|---|---|
| Cloud Spend | 30-40% reduction in compute cost |
| Engineering Time | 5-10 hours/week saved on infra tuning |
| Incident Reduction | Faster scale-ups = fewer SLA hits |
| Payback Period | Often within 1-2 quarters |
Trusted by Teams Managing $1M–$20M+ in Cloud Spend
“We haven’t touched our scaling config in months, and our bills dropped.”
– Surag Mungekar, CISO, Rupert
Buy Through AWS, GCP or Red Hat Marketplace
Easier procurement. Faster approvals.
Purchase Kedify via AWS, GCP, or Red Hat Marketplaces to count towards cloud spend, bypass vendor delays, and accelerate buying.
Where Kedify Works
Powering scalable solutions for SaaS platforms, ML pipelines, event-driven
systems, and Kubernetes migrations.
SaaS platforms
scaling APIs, jobs, and model inference
Ecommerce sites
managing unpredictable demand
Fintech and utilities
controlling infra spend with lean teams
ML/AI teams
optimizing GPU workloads and latency SLAs
"We justified Kedify through our AWS commit. No red tape, no hold-up."
— Brian Lee,
COO / CFO, NinjaCat
Why Kedify vs. Status Quo
Kedify
Open source / DIY
Start scaling smarter—without guessing what it's worth.
Book a free ROI consult or try a Proof of Concept in your environment.