Free Assessment
AI Cost & Placement Assessment
Find out which AI workloads are costing you the most in the cloud - and which ones should move to fixed-cost infrastructure.
What You Get
A Clear Picture of Your AI Spend
In one week, we analyse your cloud bills and AI workloads to produce a concrete cost-reduction roadmap.
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Cloud Spend Breakdown
- Line-by-line analysis of your AI-related cloud costs - compute, GPU instances, storage, data transfer, and managed AI services.
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Workload Placement Map
- Each workload tagged as "keep in cloud", "move to on-prem", or "hybrid" based on cost, latency, and data-gravity analysis.
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Migration Roadmap
- Phased plan with projected savings per quarter, risk assessment, and a recommended 30-day pilot scope.
How It Works
From Cloud Bills to Action Plan in 5 Days
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1
Discovery Call (Day 1)
60-minute call to map your current AI workloads, cloud accounts, and pain points.
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2
Cost Analysis (Day 2-3)
We analyse your cloud billing data, identify top cost drivers, and model on-prem alternatives.
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3
Placement Mapping (Day 3-4)
Each workload is evaluated for placement suitability - cloud, on-prem, or hybrid - with cost projections.
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4
Roadmap Delivery (Day 5)
You receive a written report with cost breakdown, placement recommendations, and a 30-day pilot proposal.
Next Step
30-Day Pilot: Prove the Savings
After the assessment, we can migrate one workload to on-prem Kubernetes in 30 days - so you see real cost savings before committing further.
What's Included
- Production-grade Kubernetes cluster on your hardware or Hetzner
- One AI workload migrated and running in production
- Monitoring & observability stack (Prometheus, Grafana)
- Before/after cost comparison report
- Runbook & handover documentation
30-Day Timeline
Infrastructure Setup
Provision hardware, deploy RKE2/K3s, configure networking & storage
Workload Migration
Containerise, deploy, and validate selected AI workload on new cluster
Observability & Hardening
Deploy monitoring stack, set alerts, run load tests, security hardening
Validation & Handover
Cost comparison report, team training, runbook delivery, go/no-go decision
No commitment required. The assessment is free - the pilot is fixed-price.
FAQ
Common Questions
How much does the assessment cost?
The initial assessment is free. We invest our time upfront because the data speaks for itself - most companies find significant savings potential on AI inference workloads.
Do I need to move everything off the cloud?
No. We recommend selective placement - keep bursty, experimental workloads in the cloud and move steady-state, cost-heavy workloads to fixed-cost infrastructure. It's not all-or-nothing.
What if the assessment shows cloud is the right choice?
Then we'll tell you. We've recommended staying on cloud for workloads where it makes sense. The goal is the right placement for each workload, not ideology.
Book Your Free Assessment
Tell us about your AI workloads and current cloud spend. We'll schedule a discovery call within 48 hours.