On-Premise LLM Deployment in Calgary
The best On-Premise LLM Deployment in Calgary, at the best available price.
You have the GPU and you have the model. What is missing is the leg in between: the model exposed as a reliable private API, reached securely from your application, returning data you can trust. That is the whole engagement.
Calgary is the headquarters of Canada's energy industry, and it has been building a technology sector alongside it, with growth in energy technology, agriculture technology, fintech and logistics. Many companies here are established businesses adding software and AI, rather than software startups.
Energy companies in Calgary hold engineering, reservoir and operational data they will not send outside their environment. A private, sometimes fully air-gapped model deployment brings language models to that data.
What you get
- vLLM serving tuned to your GPU: quantisation on the native kernel path, KV cache sizing, continuous batching, prefix caching
- A private network path with no public exposure, verified as a direct peer connection rather than a relay
- Schema-constrained responses plus a deterministic QA gate, so a wrong answer is rejected rather than rendered
- Documented baseline: tokens per second, time to first token, real concurrent capacity
- Infrastructure as code in your repository, a runbook, and every credential held by you
No upfront payment and no escrow required. You hold every dollar until a checkpoint is delivered and accepted, and thirty days of defect correction is included. Scope and price are set on a call.
Invoiced in USD or CAD, payable by Wise or bank transfer.
Request a callback
You speak to the engineer who does the work. No sales rep, no deck.
Who builds here
Fractional CTO Services
Calgary's established energy and industrial businesses often need senior technology leadership to guide a move into software and AI, without hiring a full-time executive.
What Calgary companies build with us
Get it built at $0.
That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.
- $0 to start
- You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
- Fixed cost, unlimited features
- Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
- The engineer takes your call
- The person on your first call is the one who architects and writes it. No account managers, no bench time.
A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.
Three stages, nothing hidden.
Fixed-fee assessment
Five business days from the day access is in place. Your stack examined end to end, existing work classified as preserved or replaced with reasons, the connection design, and acceptance criteria written as testable statements.
Implementation in checkpoints
Around three weeks. Each checkpoint has written acceptance criteria agreed before work starts, and is invoiced only after you accept it. Appoint an independent technical reviewer if you want one.
Handover and closeout
One real request through your real application, on synthetic data, passing every QA rule. Runbook, recorded handoff, and all our access removed with written confirmation.
What actually applies here.
Regulation and data
Private companies in Alberta are covered by the province's PIPA rather than federal law for most purposes, and health custodians by Alberta's Health Information Act. Energy companies work under their own regulators and often under strict contractual rules on where operational and engineering data can go, which usually matters more for AI work than privacy law. Alberta has also rewritten its public sector privacy law, which affects anyone selling into provincial bodies.
Contracting and payment
You contract with an individual consultant based in India. Invoices in CAD or USD, paid by Wise or bank transfer. Your accountant treats an overseas supplier in the usual way, and any paperwork they need is provided before work starts.
Working hours
Calls in your morning, Mountain time, a shared window at the start of your day, and work handed over overnight so the next round is waiting when you start.
Can AI work happen without our data leaving our network?
Yes. Models can run on hardware in your own data centre or a private cloud account, fully air-gapped if required, with offline updates.
Do you work with companies that are not software businesses?
Yes, and that is often where the work is most useful. A fractional CTO or a dedicated engineer works with your operations people, not just a technical team.
We already have hardware and a model running. Is that a problem?
It is the ideal starting point. Existing work is classified during the assessment as preserved unchanged, preserved with changes, or replaced, with reasons, and nothing is replaced without your written agreement.
Can it be fully air gapped?
Yes, including model and dependency mirroring, offline updates and local evaluation, with no outbound network access at all.
Who holds the accounts?
You do, throughout. Cloud accounts are created and held by you, our access is named and limited-privilege, and it is removed at handover with written confirmation.
Private LLM Infrastructure
Self-hosted LLM deployment on hardware you own. vLLM serving, private networking, validated output.