On-Premise LLM Deployment in San Diego
The best On-Premise LLM Deployment in San Diego, 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.
San Diego's technology economy rests on life sciences around Torrey Pines, wireless and semiconductor engineering, a large defence and Navy presence, and UC San Diego. Companies here are often engineering-led and research heavy, and many are regulated by the FDA or by defence contracts rather than by consumer markets.
Genomics data, unpublished research and controlled defence documents cannot go to a public model API. A private deployment inside your own environment lets San Diego teams use AI on them.
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
San Diego's biotech and engineering companies want AI over specialised research and technical data, and that work needs careful production engineering more than another chatbot.
What San Diego 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
California's privacy law (the CCPA as amended by the CPRA) applies across the state, and California's Confidentiality of Medical Information Act adds health privacy duties that reach some digital health apps HIPAA does not. Biotech companies work under FDA expectations for data integrity, and defence suppliers handle controlled technical data under export rules and the Defense Department's cybersecurity requirements. Each of these limits where data can go before any AI tool is chosen.
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 California's medical information law apply to our health app?
It can, even where HIPAA does not, because it reaches some businesses that offer software or hardware handling medical information. We build consent and access controls for it, and your counsel confirms scope.
Can you work on defence-related projects?
Only on parts that do not involve controlled technical data. We do not hold a US security clearance, so controlled data stays with your cleared staff and we work on unclassified components and synthetic data.
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.