Is Cloud AI Costing You Too Much While Putting Your Data at Risk?
Discover how Canadian organizations are deploying secure, compliant, on-premise AI infrastructure - and why you might want to do the same.
Book a free 15-minute discovery call with Optrics Engineering + get instant access to $11,000+ in Dell AI Factory Resources
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Cloud AI bills keep climbing (and you have little control over them)
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Sending sensitive data to cloud LLMs creates security and sovereignty concerns (especially with regulations like Quebec Law 25)
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Performance issues and latency can kill productivity (when AI workloads compete for shared cloud resources)
There's another way.
Private, on-premise AI infrastructure gives you complete control over costs, data sovereignty, and performance - without sacrificing the power of modern AI tools like ChatGPT, Gemini, or Claude.
But here's the challenge: most IT leaders don't know where to start.
That's where we come in.
Get Expert Guidance ... At No Cost
Here's what you get when you book your free 15-minute discovery call:
π 15-Minute Private AI Infrastructure Discovery Call
A zero-pressure conversation with Optrics Engineering to explore:
- Whether private/on-premise AI makes sense for your organization
- Your current pain points (compliance, cost, performance, sovereignty)
- Whether you're ready for server, storage, or network upgrades integrated with Dell AI Factory and NVIDIA solutions
Value: $500 | Your Investment: $0
Start Your Private AI Conversation - Get Instant Access to $5,845 in Expert Resources
π BONUS #1: The Dell AI Factory Resource Vault
8 Premium GuidesβInstant Access ($4,351+ Value)
The moment you book your call, you'll receive immediate access to Dell and Arrow ECS's latest expert resources:
β "7 Steps to Unlocking the Value of Data for AI" β Complete data management playbook
β "Dell AI Factory with NVIDIA" β In-depth eBook + quick-reference infographic
β "Dell Data Lakehouse" β Technical solution guide + visual overview
β "Dell PowerEdge for AI" β Server infrastructure white paper
β "Getting Started with GenAI" β Real-world infographic on adoption and content generation
β "Top 5 Security Considerations for Generative AI" β Compliance and scaling guides
β "Top 5 Strategy Considerations for GenAI" β Strategic planning framework
β "Transforming Healthcare & Life Sciences with AI" β Sector-specific insights
These aren't sales brochuresβthey're technical guides used by IT leaders across North America to make informed AI infrastructure decisions.
π BONUS #2: Canadian AI Compliance Quick-Reference Guide
($497 Value)
A practical checklist covering:
- Quebec Law 25 requirements
- Federal PIPEDA considerations
- Data residency and sovereignty requirements by province
- What to document for compliance audits
π BONUS #3: Private AI vs. Cloud TCO Calculator
($497 Value)
Simple Google Sheet to calculate your 3-year cost comparison:
- Cloud AI costs (ChatGPT Enterprise, Azure OpenAI, AWS Bedrock, etc.)
- On-premise infrastructure TCO
- Break-even analysis for your specific workload
See the real numbers for your organization in under 5 minutes.
π° TOTAL VALUE: $5,845+
π΅ YOUR INVESTMENT: $0
Our No-Pressure Promise
This is a conversation, not a sales pitch.
If we determine private AI infrastructure isn't right for you, we'll tell you - and you still keep all the resources.
No obligation. No pressure. No strings attached.
Our goal is simple: help Canadian IT leaders make informed decisions about AI infrastructure. If that leads to a partnership, great. If not, you'll still walk away with expert resources worth thousands.
Is This Right for Your Organization?
This discovery call is designed for Canadian IT professionals exploring:
β On-premise or hybrid AI deployment strategies
β Network, server, or storage upgrades for AI workloads
β Compliance with Quebec Law 25, PIPEDA, or provincial data regulations
β Reducing cloud AI costs while maintaining (or improving) performance
β Data sovereignty and keeping sensitive information in Canada
β Use cases in healthcare, finance, government, insurance, manufacturing, or critical infrastructure
Common titles who book these calls:
- Chief Information Officers (CIOs)
- Chief Technology Officers (CTOs)
- IT Directors and Infrastructure Leads
- VPs of Information Security
- Compliance and Data Governance Officers
- Data Architects and Engineering Leaders
Why Now?
Three reasons Canadian organizations are moving faster on private AI infrastructure:
1. Regulatory Pressure Is Increasing Quebec Law 25 began enforcement in September 2023, with penalties up to $10M or 2% of global revenue. Other provinces are watching closely and considering similar legislation.
2. Cloud AI Costs Are Unpredictable As usage scales, so do cloud bills - often exponentially. On-premise infrastructure gives you fixed, predictable costs.
3. Hardware Lead Times Are Real Dell PowerEdge AI-optimized servers can take 2-6 months to procure, depending on inventory and global demand for AI infrastructure.
The sooner you start the conversation, the sooner you can secure your hardware allocation and deployment timeline.
Trusted Expertise. Proven Partners.
Optrics Engineering has been delivering IT infrastructure solutions to Canadian organizations for over 25 years.
Dell Technologies Authorized Partner β Direct access to Dell's AI Factory with NVIDIA, PowerEdge servers, and Data Lakehouse solutions.
Arrow ECS Partner β Access to Arrow's AI Assessment and Workshop services, used by organizations across North America to accelerate AI adoption.
Our clients include: Canadian healthcare systems, financial institutions, government agencies, and enterprises navigating the intersection of AI, compliance, and data sovereignty.
FAQs
Q: What happens after I book the call?
A: You'll immediately receive access to all 8 Dell AI Factory resources. Within 1 business day, a member of our team will reach out to schedule your 15-minute discovery call at a time that works for you.
Q: Is this really free? What's the catch?
A: Yes, it's completely free. No catch. Our business model is simple: we help Canadian organizations make informed decisions about AI infrastructure. If private AI is a good fit and you decide to move forward, we partner with you on deployment. If not, you still benefit from the expert resources.
Q: I'm not technical. Will this be over my head?
A: Not at all. We speak business first, technology second. Our discovery calls focus on your organizational goals, challenges, and constraints - not speeds and feeds.
Q: How long until I could actually deploy this?
A: It depends on complexity. Simple deployments (you know exactly what you need) can start within 60-90 days. More complex projects requiring Arrow's AI Workshop or Assessment might take 4-6 months from initial consultation to go-live. We'll give you a realistic timeline during your discovery call.
Q: What if I'm just exploring options and not ready to buy?
A: Perfect. That's exactly who this call is for. Most of our best client relationships started with "just exploring." You'll walk away better informed, regardless of whether you move forward.
Q: Do I need to have my budget figured out first?
A: Not necessarily. We can help you understand the investment range during the call. We also work with Dell Financial Services and Arrow Capital Solutions to offer flexible financing options (0% down, 36-60 month terms).
Ready to Explore Private AI for Your Organization?
Here's what happens next:
Step 1: Fill out the short form above (takes 60 seconds)
Step 2: Instantly receive your Dell AI Factory Resource Vault via email
Step 3: We'll reach out within 1 business day to schedule your 15-minute discovery call
Step 4: During the call, we'll determine if private AI infrastructure makes sense for your organization - with zero pressure
Important: Hardware procurement timelines are real. Due to increasing global demand for AI-optimized infrastructure, lead times for Dell PowerEdge servers can stretch from 2-6 months - and in some cases, up to a year depending on configuration and availability. The sooner you start the conversation and begin planning, the sooner you can secure your place in the allocation queue.