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Private LLM infrastructure

On-Premise LLM Deployment in Houston

The best On-Premise LLM Deployment in Houston, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

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.

Houston is the centre of the US energy industry and home to the Texas Medical Center, one of the largest medical complexes in the world, along with a major port and NASA's Johnson Space Center. The technology demand comes mostly from these industries: energy companies modernising operations, health systems and suppliers working with clinical data, and logistics and aerospace firms.

A Houston operator's well logs, seismic interpretations and maintenance records are competitive assets, and a hospital's records are regulated. Either way, a model served inside your own network, air-gapped if needed, is how AI gets approved here.

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
Fixed-fee assessment, credited in full against the build.

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.

No spam and no sales team. You talk directly to Neeraj.

Houston, Texas

Who builds here

Oil, gas and the energy transitionTexas Medical CenterPort of Houston and logisticsAerospace and NASA Johnson Space Center
Best fit in Houston

On-Premise LLM Deployment

Houston's energy companies and health systems both hold data that cannot leave their control, so a model running inside their own environment is usually the only AI they can approve.

You are on it
A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on
Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.
The request never leaves your network, and nothing reaches your users without passing the validation gate.
How you pay

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.

How it works

Three stages, nothing hidden.

01

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.

02

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.

03

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.

Working in Houston

What actually applies here.

Regulation and data

Health care work at the Texas Medical Center falls under HIPAA, and Texas adds its own medical records privacy law, which is broader than HIPAA in who it covers. Energy companies protect operational and seismic data under strict contracts, and critical infrastructure operators follow federal cybersecurity guidance for pipelines and grids. Space and defence suppliers add export controls on technical data. The Texas Data Privacy and Security Act covers consumer data across the state.

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

Three or more hours of daily overlap with Central time, calls in your morning, and same-day replies on working days.

Can AI run inside an operational technology environment?

It can run next to it. We keep models on isolated infrastructure with one-way data flows from operational systems, so nothing in the AI environment can reach control networks.

Does the Texas medical records law go beyond HIPAA?

Yes. It applies to a wider set of organisations that handle health information, not only HIPAA covered entities. We build to the stricter of the two, and your counsel confirms scope.

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.