On-Premise LLM Deployment in Seattle
The best On-Premise LLM Deployment in Seattle, 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.
Seattle is a cloud city. Two of the three largest cloud providers are headquartered in the area, so local engineers know infrastructure deeply and expect production-grade practice. Startups often spin out of those companies with strong technical founders who need extra hands more than leadership.
Seattle companies are comfortable running infrastructure, which makes self-hosting a realistic option rather than a project. We tune serving on your GPUs or in your cloud account and hand over infrastructure as code your team can own.
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, 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
AI Development Company
Seattle teams usually have strong engineers and cloud skills already. What they bring in is focused AI product work, such as agents, voice and retrieval, built to the same production standard.
What Seattle 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
Washington's My Health My Data Act, in force since 2024, is one of the broadest health privacy laws in the country. It covers consumer health data that HIPAA does not, including data that suggests a health condition, requires separate consent to collect and to share it, and lets individuals sue. Any wellness, fitness, voice or AI product that could infer health information about Washington users needs to treat it carefully. Washington also restricts enrolling biometric identifiers for commercial purposes without notice and consent.
Contracting and payment
You contract with an individual consultant based in India rather than a US entity. Invoices are issued in USD and paid by Wise or bank transfer, with no payroll and no benefits load on your side. Whatever documentation your finance team or counsel needs from an overseas contractor is provided before work starts.
Working hours
Calls in your morning, Pacific time, and work handed over at the end of your day so the next round of changes is waiting when you start.
Does My Health My Data apply to us if we are not a health company?
It can. It covers data that identifies a consumer's health status, including inferences, so a fitness app, a symptom checker or a voice product could be in scope. We build the consent and deletion flows it needs, and your counsel decides the scope.
Can you work inside our AWS or Azure organisation?
Yes. Accounts stay yours, access is named and limited, and everything we build is infrastructure as code in your repository.
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.