On-Premise LLM Deployment in Sydney
The best On-Premise LLM Deployment in Sydney, 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.
Sydney is Australia's financial capital and its largest software market, home to the major banks, insurers, the ASX and product companies that grew up here and sell worldwide. Buyers range from APRA-regulated institutions with formal vendor risk processes to venture-backed scale-ups that move quickly, and both increasingly ask how an AI feature handles customer data before they ask what it costs.
For a Sydney bank, insurer or one of their suppliers, CPS 234 and CPS 230 turn a model provider into a service provider that has to be assessed. Serving the model from an Australian region of your own cloud account removes that third party from the request path.
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 or AUD, 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
Sydney has a deep pool of product companies and financial institutions shipping AI features to customers, and the hard part for them is production engineering that survives an APRA-style vendor review, which is where a senior AI engineer earns their keep.
What Sydney 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
Private companies follow the federal Privacy Act 1988. The 2024 amendments added a statutory tort for serious invasions of privacy, in force since June 2025, and from 10 December 2026 privacy policies must disclose when automated decisions, including AI, significantly affect individuals. Banks, insurers and super funds answer to APRA, whose CPS 234 covers information security and CPS 230, applying since 1 July 2025, covers operational risk and material service providers. NSW public sector agencies are bound by the Privacy and Personal Information Protection Act 1998, which has carried a mandatory data breach notification scheme since November 2023, and the Health Records and Information Privacy Act 2002 also reaches private health providers in the state.
Contracting and payment
You contract with an individual consultant based in India. Invoices in AUD or USD, paid by Wise or bank transfer. Your accountant handles an overseas supplier in the usual way, and any documentation they need is provided up front.
Working hours
Three or more hours of daily overlap in your afternoon, Australian Eastern time, and work handed over at the end of your day so the next round is waiting in the morning.
How do the hours work with Sydney, given daylight saving?
Expect three or more hours of daily overlap in your afternoon. India does not change its clocks, so the gap to Sydney is four and a half hours in winter and five and a half during daylight saving. Calls sit after lunch your time, and work handed over in your evening is ready the next morning.
Can you work under APRA CPS 230 as a service provider?
Yes. That means completing your vendor assessment, working with named and limited access in accounts you own, and documenting what was built so your risk team can record it. Where it matters, data and inference stay in an Australian region of your cloud account.
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.