Gurugram, Haryana
AI Infrastructure & MLOps in Gurugram
GPU infrastructure, model serving and MLOps pipelines, sized for your workload, not for a benchmark. Delivered to businesses across Gurugram and Haryana.
- District
- Gurgaon
- PIN codes covered
- 34
- State coverage
- 314 PINs
AI Infrastructure & MLOps for Gurugram businesses
Orqent Labs builds AI infrastructure sized to the workload you actually have, with the rollback paths you will eventually need.
Gurugram sits in Gurgaon district, Haryana. Across Haryana the economy leans towards automotive, IT and business services, agriculture, textiles and engineering goods, the Gurugram corporate belt alongside a working auto-manufacturing cluster, which puts back-office and shop-floor automation in the same state. That shapes which ai infrastructure & mlops work actually pays back here, and it is where we start the conversation.
We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.
Coverage facts for Gurugram
- City
- Gurugram (also Gurgaon)
- District
- Gurgaon
- State / UT
- Haryana
- PIN codes mapped to this city
- 34
- Coordinates
- 28.3914, 76.9401
- Delivery model
- Remote-first, senior team, on-site where it genuinely helps
What is included
- Workload sizing based on measured throughput, not guesses
- Model registry and versioned deployments
- Autoscaling and cost-per-inference monitoring
- Canary and rollback deployment paths
- On-premise or air-gapped options where required
- Runbooks and on-call documentation
AI Infrastructure & MLOps in Gurugram, questions
Do you deliver ai infrastructure & mlops in Gurugram?
Yes. We deliver across Gurugram and all of Haryana, remotely by default, which means the same senior team works on your project regardless of where you are. Gurugram falls under Gurgaon district, covering 34 PIN codes in our coverage map.
Do we need to meet in person?
Rarely. Delivery is remote-first with scheduled working sessions. Where a workshop or site visit genuinely helps, a plant floor assessment, for example. We travel.
Cloud or on-premise?
We model both against your real volume. On-premise typically wins at sustained high throughput or where data residency is non-negotiable; cloud wins on variable and early-stage workloads.
Can you deploy air-gapped?
Yes, with open-weight models and a fully offline inference stack, the usual pattern for defence, and for some healthcare and government work.
Do you support our existing Kubernetes setup?
Yes, and we would rather extend it than introduce a parallel platform your team has to learn.
Other capabilities in Gurugram
AI Infrastructure & MLOps in Gurugram
Tell us the workflow and the constraint. First response within one business day.
Or email bd@dtrasglobal.com · call +91 74118 77878