Deploy Secure Virtual Desktops in Weeks, Not Months
Mars Innovation Technology automates VDI deployment on AWS, Azure and Google Cloud using Citrix, Teradici or Amazon Nimble — so your teams can work from anywhere on GPU-accelerated desktops.
Purpose-built for remote, creative, engineering and healthcare teams needing secure GPU workstations.
Deploy VDI on AWS, Azure or GCP in 2–6 weeks with Terraform-automated infrastructure.
Includes Zero Trust security, MFA, session recording and compliance controls out of the box.
Can reduce desktop hardware spend compared with buying physical GPU workstations per user, depending on usage patterns and cloud sizing.
Remote Teams Struggle with Slow, Insecure, Expensive Desktops
Organizations running graphics-intensive workloads — media production, 3D rendering, CAD, clinical imaging — face a painful choice: ship expensive physical workstations to every user or accept degraded performance over VPN. Neither option scales, and both create security gaps.
DIY VDI projects routinely run over budget and over schedule because the tooling, licensing, network topology and security hardening must all be configured from scratch. Teams lose 3–6 months before the first user logs in — if they succeed at all.
GPU workstation hardware costs $3,000–$15,000 per seat and cannot scale up or down.
VPN-based remote access delivers poor performance and exposes the corporate network.
Licensing complexity across Citrix, AWS, Azure and Teradici slows procurement.
Security audits repeatedly flag unmanaged endpoints as the top vulnerability.
IT teams lack the VDI expertise to build and maintain cloud desktop environments.
Everything Included in This Launchpad
A complete, production-ready package — from architecture to deployment to ongoing support.
Automated Terraform Deployment
Infrastructure-as-code templates deploy VDI stacks on any cloud in hours, not weeks.
Zero Trust & MFA
Every session authenticated with MFA, identity-based access, and network micro-segmentation.
GPU Acceleration
NVIDIA GPU pass-through for Citrix, Teradici and Nimble workloads — from 3D rendering to ML training.
Cloud-Agnostic Architecture
Works on AWS WorkSpaces, Azure Virtual Desktop, GCP Cloud Workstations — or a hybrid mix.
Backup & Disaster Recovery
Automated snapshot schedules, cross-region replication, and RTO targets documented from day one.
Auto-Scale Policies
Desktops can spin up for peak demand and power down overnight, which may reduce idle GPU spend depending on workload patterns.
Business Outcomes You Can Expect
Varies
Hardware Cost Reduction
Cloud VDI can reduce per-seat hardware spend vs. physical GPU workstations, depending on usage.
2–6 wks
Time to First Login
Compared to 4–9 months for DIY deployments.
99.9%
Uptime SLA
Cloud-native HA architecture with automated failover.
Target
Idle GPU Savings
Auto-scaling can reduce overnight and weekend idle GPU waste when workloads allow.
How We Deliver
A transparent, structured delivery plan with weekly milestones so you always know what is happening and what comes next.
Discovery & Architecture
- Stakeholder interviews
- Network topology design
- Cloud platform selection
- License procurement kickoff
Infrastructure Foundation
- VPC / VNET provisioning
- Identity & AD integration
- Storage architecture
- Security baseline applied
VDI Stack Deployment
- Connection broker setup
- GPU instance provisioning
- Image creation & hardening
- Citrix / Teradici / Nimble config
Security & Compliance
- Zero Trust policies
- MFA enforcement
- Session recording config
- Compliance evidence collection
Performance & Scale Testing
- Load testing at 2× peak users
- GPU benchmark validation
- Auto-scale policy tuning
- Cost optimization review
Handoff & Go-Live
- Runbook documentation
- Admin training
- User onboarding guides
- Monitoring dashboard handoff
Choose Your Starting Point
Every tier is a fixed-scope, fixed-price engagement. Start small and scale when ready.
From $2,500
1 week
Current-state analysis, user persona mapping, cloud platform recommendation, license sizing.
- Cloud platform scoring
- GPU sizing calculator
- License cost model
- Written recommendation
From $8,000
2 weeks
Deploy a working VDI environment for 5–10 pilot users on your chosen cloud.
- Terraform templates
- Identity integration
- GPU instance config
- User acceptance testing
From $22,000
4–6 weeks
Full production deployment with security hardening, monitoring and runbook documentation.
- Production VDI stack
- Zero Trust security
- Auto-scale policies
- Monitoring & alerting
- Runbook + training
From $35,000
6–10 weeks
Multi-region or multi-cloud deployment with advanced analytics and cost governance.
- Multi-region HA
- Cost dashboards
- Advanced GPU pools
- SIEM integration
From $4,500/mo
Ongoing
Fully managed VDI operations — patching, scaling, monitoring and 24/5 support.
- 24/5 monitoring
- Monthly patching
- Capacity reviews
- Incident response
How We're Different
Compared to generic consultancies and do-it-yourself approaches.
| Feature / Criterion | Mars Innovation Technology | Generic Consultancy | DIY / In-House |
|---|---|---|---|
Automated IaC deployment | |||
GPU workload expertise | Limited | ||
Fixed price & timeline | |||
Zero Trust built in | |||
Cloud-agnostic (AWS/Azure/GCP) | Single cloud | Manual | |
Ongoing managed service | |||
Runbook + knowledge transfer | Extra cost |
Frequently Asked Questions
What is the VDI Platform Launchpad?
The VDI Platform Launchpad is a fixed-price, Terraform-automated deployment service that stands up a secure, GPU-accelerated Virtual Desktop Infrastructure on AWS, Azure or Google Cloud in 2–6 weeks.
Which cloud platforms does this support?
AWS WorkSpaces and EC2 GPU instances, Microsoft Azure Virtual Desktop (AVD), and Google Cloud Workstations are all supported. We can also run multi-cloud or hybrid configurations.
Which VDI technologies do you use?
We deploy and configure Citrix Virtual Apps and Desktops, HP Teradici (PCoIP), and Amazon Nimble Studio depending on your workload requirements, existing licensing, and budget.
Can it support GPU-intensive workloads like 3D rendering or ML?
Yes. We provision NVIDIA GPU-backed instances (e.g., AWS g4dn, Azure NV-series, GCP A2) and configure the correct driver stack and protocol for graphics-intensive applications including AutoCAD, Unreal Engine, and ML frameworks.
How does security work?
Every deployment includes Zero Trust network segmentation, MFA enforcement, identity-based access policies, session recording, and encryption in transit and at rest. We document all controls for audit and compliance evidence.
What happens after the Build tier is complete?
You receive full runbook documentation, admin training, and monitoring dashboards. You can self-manage or roll into our Managed tier for ongoing patching, scaling, and 24/5 monitoring support.
How is pricing structured?
Each tier is a fixed-scope, fixed-price engagement confirmed during the free Assessment. Cloud infrastructure costs (compute, storage, licensing) are billed directly to your cloud account and are not included in our fees.
Do you help with Citrix or Azure licensing?
Yes. We help size and procure the right license type (Citrix Universal, Azure AVD multi-session, etc.) and build a total-cost-of-ownership model before you commit to any platform.
Related Launchpads
Start with a Free Assessment
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