On-Premise LLM Deployment in Kolkata
The best On-Premise LLM Deployment in Kolkata, 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.
Kolkata is the commercial centre of eastern India, with IT services concentrated in Salt Lake Sector V and New Town, and a business community long rooted in banking, microfinance, tea, jute, FMCG distribution and trading. Many established firms here are family or promoter run and adopt technology cautiously, often through someone they already trust, while lenders and microfinance institutions face the same RBI scrutiny as any bank in Mumbai.
A Kolkata lender or MFI looking at AI for collections notes, KYC documents or field officer reports will be asked by its risk team where that data goes. Serving the model on infrastructure the institution controls, with logs it holds, keeps borrower data inside the boundary the RBI outsourcing direction expects.
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
On-Premise LLM Deployment
Kolkata's lenders and microfinance institutions hold sensitive borrower data, often collected in regional languages, and sit under RBI outsourcing rules. Keeping a model inside their own environment is usually the only way an AI project gets past the risk committee.
What Kolkata 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
Under the DPDP Act 2023 and the Digital Personal Data Protection Rules notified in November 2025, most obligations on data fiduciaries, including notice, consent, breach notification and data principal rights, are scheduled to take effect in May 2027, and the government has said it may shorten that window. For Kolkata's lenders, including microfinance institutions, the RBI Master Direction on Outsourcing of Information Technology Services and the 2023 Master Direction on IT governance, risk and controls set how a technology vendor may access and process borrower data, and digital lending is covered by the RBI's Digital Lending Directions. West Bengal promotes technology through projects such as the Bengal Silicon Valley Tech Hub and the fintech hub in New Town, which are infrastructure and incentive schemes rather than compliance rules.
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.
Can an AI system work with documents in Bengali?
Yes, with care. Current open models handle Bengali text reasonably well for reading and summarising, but quality varies by task, so every project starts with a test set of your own documents and the results are measured before anything goes live.
Do you work with microfinance institutions and NBFCs?
Yes. Work is done under the institution's vendor and outsourcing process, with named, limited access, and where borrower data cannot leave its environment the model is deployed inside it, with every request logged for the institution's auditors.
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.