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Private LLM infrastructure

On-Premise LLM Deployment in New York

The best On-Premise LLM Deployment in New York, 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.

New York buys software the way its biggest industries do: carefully, with procurement, security questionnaires and a lawyer in the loop. Finance, media, adtech and large hospital networks set the tone, so even a twelve-person startup here is often selling into a bank or a health system and inherits their review process.

For a New York fintech, or a vendor to one, the question in the security review is usually where the prompt goes. A model served from your own cloud account, with logs you hold, is an answer a Part 500 vendor assessment can accept.

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.

New York, New York

Who builds here

Financial services and fintechMedia and adtechCornell Tech and the Flatiron startup sceneHospital networks and health tech
Best fit in New York

On-Premise LLM Deployment

Banks, insurers and their vendors here are the buyers most likely to refuse a shared model API outright, so keeping inference inside your own account is often what gets an AI feature through a DFS-style vendor review.

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 New York

What actually applies here.

Regulation and data

Financial firms regulated by the New York Department of Financial Services fall under its cybersecurity rule, 23 NYCRR Part 500, which was tightened in 2023 with stricter access control, MFA and asset inventory requirements, and their vendors are pulled into that scope through due diligence. New York City's Local Law 144 requires a bias audit and candidate notice before an automated tool is used in hiring or promotion decisions. The SHIELD Act sets data security duties for anyone holding New York residents' private information, wherever the company is based.

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

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

Can you work under a vendor security review from a New York bank or insurer?

Yes. Expect to complete their questionnaire and to work with named, limited-privilege access in accounts you own. Where they need it, inference and data stay inside your own cloud account so nothing goes to a third-party model provider.

Do you meet in person in New York?

The work is remote, with calls in your morning Eastern time. The documentation and recorded handover are written so that nobody needs an in-person meeting to understand what was built.

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.