What does AVD actually cost per user?
The honest answer: it depends on your host pool design, session density, and Autoscale policy. The biggest mistake is pricing AVD like a simple per-user SaaS. It is not — you pay for compute that runs, and that is exactly where cost escapes.
The four cost components
- Session host VMs — the compute that hosts your desktops
- Windows 11 Enterprise multi-session licensing — per user via M365 or per-VCORE
- FSLogix profile storage — Azure Files for profile containers
- Networking & extras — Azure Firewall, backups, monitoring
A real example: 200 desktops
In our 200-desktop manufacturing deployment, we used:
- D8s_v5 session hosts (8 vCPU / 32 GB) at ~8 users per VM with breadth-first load balancing
- Windows 11 Enterprise multi-session
- FSLogix profile containers on Azure Files
- Autoscale: pre-warm 30 minutes before shifts, consolidate and shut down after hours
Where the savings come from
| Cost lever | Impact | |
|
| | Session density (8 users/VM) | Fewer VMs, lower base cost | | Autoscale off-hours shutdown | VMs only run when staff work | | Thin clients reused | No 30,000-rupee tower refresh | | Old monitors reused | Zero display hardware spend |
The hardware cost alone: ₹15 lakh+ avoided — no new PCs needed. Desktop endpoints became 2,000-rupee mini-PCs instead of 30,000-rupee towers.
How to estimate your per-user cost
- Count peak concurrent users (not total employees)
- Pick host pool size: ~6–8 users per D8s_v5
- Add Azure Files: ~1–2 GB profile per user + 20% overhead
- Apply Autoscale: only count hours your business actually runs
The result that matters
- 0 shifts missed during cutover
- 60% fewer IT support tickets
- Remote godown users on the internet with MFA — no VPN
📘 Read the full case study book with architecture diagram
Need an AVD cost estimate? WhatsApp +91 93197 07938 or contact@krizia.in.
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