On-Premise LLM Deployment in Bengaluru
The best On-Premise LLM Deployment in Bengaluru, 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.
Bengaluru is where India's product companies, venture-funded startups and the engineering centres of global firms sit side by side, so the person buying is usually an engineer. Buyers judge a supplier on the code, the architecture and how quickly questions get answered, and they weigh any outside help against the time it takes to hire into a market where engineers with production AI experience are heavily contested.
Bengaluru SaaS companies selling to Indian banks and insurers tend to hit the same wall in procurement: the customer will not approve prompts going to a foreign model API. Serving an open model inside your own cloud account in an Indian region, with logs you hold, lets the product pass that review without a rewrite.
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 INR, with GST as applicable.
Request a callback
You speak to the engineer who does the work. No sales rep, no deck.
Who builds here
AI Development Company
Most Bengaluru companies already have capable engineers. What they usually lack is someone who has shipped retrieval, agents or voice to production and kept them working, so a scoped AI engagement inside the existing team is the most useful place to start.


What Bengaluru 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 DPDP Act 2023 governs personal data, and the DPDP Rules notified in November 2025 phase in over eighteen months, so SaaS companies here selling to Indian enterprises are already being asked about consent, retention and breach handling. Karnataka's GCC Policy 2024-29 and the state IT policy for 2025-30, approved by the cabinet in November 2025, steer incentives towards R&D, skilling and locations beyond Bengaluru; they are incentive schemes and set no data rules of their own. The Karnataka Data Centre Policy 2022-27 is under review, with the state signalling that new facilities should be sited outside the city. Health tech teams building diagnostic software should check whether CDSCO's medical device rules apply to them.
Contracting and payment
Simple domestic contracting. Invoices in INR with GST as applicable, under a standard services agreement. No cross-border payment friction, no forex conversion cost, and no time spent on paperwork for an overseas supplier.
Working hours
Same time zone. I work from India on IST, so calls, reviews and replies all happen inside your normal working day.
We already have an engineering team in Bengaluru. Where do you fit?
Usually alongside them, on the part they have not done before: model serving, retrieval, agents or voice. The work happens in your repository and through your review process, and handover includes the evaluation sets and runbooks your engineers need to own it afterwards.
Are the Karnataka GCC and IT policies relevant to working with you?
Not directly. Those policies offer incentives for companies setting up or expanding in the state, mainly for R&D, skilling and locations beyond Bengaluru. Whether a particular engagement or hire counts towards a claim is a question for your own advisers, and we do not advise on incentive applications.
Do we need to meet in person?
No. The work is remote and on IST, so calls and code reviews happen inside your normal working day. Decisions, documentation and the recorded handover are written so that anyone on your team can follow what was built without a meeting.
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.