Thank you! We’ll be in touch to schedule a meeting.
If you prefer, you can select a meeting time below:
Set up your GPU &
Cluster Autoscaling
Proof of Concept
Validate Kedify on your workloads. Prove faster, cheaper,
more predictable scaling for GPU inference and Kubernetes
clusters in 30-45 days.
From the core maintainers of KEDA: built to scale HTTP,
gRPC & GPU workloads with real‑time control.
Start your POC
What’s included in your POC
We prioritize your selected focus areas in the plan (GPU workloads and/or cluster autoscaling).
If prerequisites are met, we’ll validate them during the POC within the stated scope.
Cost:
$5K (credited toward annual contract)
Duration:
30-45 days end-to-end
Scope:
1 cluster, selected scaler, dashboard
Includes:
Full onboarding, support, cost tracking, performance metrics
How the 30–45 day POC runs
Kickoff (Days 1-3):
Confirm success criteria, SLOs, and guardrails; select focus (GPU, Cluster, HTTP).
Install & Configure (Week 1):
Deploy Kedify Agent, enable the HTTP scaler, wire metrics.
Baselines (Week 2):
Capture current cost and P95/P99 performance; map GPU utilization signals and cluster boundary policies as applicable.
Optimize (Weeks 3–4):
GPU autoscaling: Validate GPU‑aware, event‑driven rightsizing to reduce idle time while holding latency targets.
Cluster autoscaling: Exercise predictive policies that scale Kubernetes clusters dynamically across clouds.
Results & Roll‑Forward (Weeks 4–6):
Executive‑ready readout (cost delta, P95s, ops time saved) and roll‑forward plan; POC fee credited on subscription.
What You’ll Prove
GPU autoscaling:
Cluster autoscaling:
HTTP/gRPC endpoints:
Built‑in visibility:
Real‑time scaling for inference/fine‑tuning with GPU‑aware algorithms, targeting 30–40% lower GPU spend while keeping P95 predictable.
Dynamically scale Kubernetes clusters with predictive policies for cost and performance across clouds.
Scale to match bursty traffic while meeting latency SLOs.
Prometheus/OTel metrics with long‑term, multi‑tenant storage and a multi‑cluster dashboard.
Security, Procurement & Pricing
Who Benefits Day-to-Day
Ideal for teams running multi-cluster and GPU workloads who need predictable P95s and
lower spend. Typical team cloud spend is approximately $1M - $20M annually.
Platform & DevOps teams
Ditch homegrown scripts and pager fatigue.
SREs
Fewer scaling incidents, clearer SLOs.
Developers
Preview environments on demand, zero wait time.
C-suite
Predictable cloud spend, ROI that shows up on the next board slide.
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.
