On-Premise LLM Deployment in Austin
The best On-Premise LLM Deployment in Austin, 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.
Austin grew from a university and government town into one of the country's main startup cities, helped by large technology companies expanding here and founders relocating from the coasts. The scene is founder heavy and early stage, with SaaS, consumer and hardware-adjacent companies, and costs that are rising but still below the coasts.
Austin's B2B startups often sell into regulated Texas industries such as energy, health care and government. A private model deployment lets you answer the data question in the first security review instead of the fifth.
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 Product & MVP Development
Austin's startup scene is dominated by early-stage founders who need a working product quickly, on a budget that is not San Francisco's.
What Austin 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
The Texas Data Privacy and Security Act has applied since July 2024 and, unusually, has no revenue threshold: it reaches most businesses that process Texans' personal data, with an exemption for small businesses that does not cover selling sensitive data without consent. Texas also passed the Texas Responsible AI Governance Act in 2025, which mostly places duties on government use of AI and prohibits a short list of harmful uses for everyone. Texas has its own biometric identifier law, enforced by the attorney general rather than through private lawsuits.
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.
Does the Texas privacy law apply to a small startup?
Texas exempts most small businesses as defined by the US Small Business Administration, but not from its rule on selling sensitive data without consent. If you are close to the line, ask counsel. We build consent and deletion in either way, because enterprise customers will ask for them.
Can you work with an Austin team that is partly in the office?
Yes. The work runs through your repository, your issue tracker and calls in your morning Central time, so it fits a hybrid team the same way a remote employee would.
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.