North India
AI Infrastructure & MLOps across Punjab
GPU infrastructure, model serving and MLOps pipelines, sized for your workload, not for a benchmark. Covering every district and PIN code in Punjab.
- Districts
- 22
- PIN codes
- 527
- Cities mapped
- 22
AI Infrastructure & MLOps in Punjab
A model registry with versioned deployments is what lets you roll back in minutes. Without it, a bad model version becomes a very long evening.
Punjab runs on agriculture and agri-machinery, textiles and hosiery, sports goods, light engineering and food processing, agri supply chains and SME manufacturing, where the practical win is workflow automation rather than frontier models. Where ai infrastructure & mlops earns its budget here usually follows directly from that mix.
Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move. You own the code, the models where they are open-weight, and the documentation to run it without us.
ਸਤ ਸ੍ਰੀ ਅਕਾਲ , Sat Sri Akaal. We work in Punjabi and English across Punjab.
Punjab coverage
- State / UT
- Punjab
- Region
- North India
- Districts covered
- 22
- PIN codes covered
- 527
- Cities mapped
- 22
- Working languages
- Punjabi, English
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
Districts of Punjab
Every district has a coverage page listing its PIN codes.
- Amritsar47 PINs
- Barnala9 PINs
- Bathinda19 PINs
- Faridkot9 PINs
- Fatehgarh Sahib8 PINs
- Fazilka1 PINs
- Firozpur26 PINs
- Gurdaspur36 PINs
- Hoshiarpur51 PINs
- Jalandhar66 PINs
- Kapurthala21 PINs
- Ludhiana72 PINs
- Mansa9 PINs
- Moga20 PINs
- Mohali12 PINs
- Muktsar12 PINs
- Nawanshahr27 PINs
- Patiala28 PINs
- Ropar3 PINs
- Rupnagar21 PINs
- Sangrur21 PINs
- Tarn Taran9 PINs
Other capabilities across Punjab
Questions
Do you cover all of Punjab?
Yes, all 22 districts and 527 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.
Which Punjab sectors do you work with most?
Across Punjab the economy leans towards agriculture and agri-machinery, textiles and hosiery, sports goods, light engineering, food processing. Agri supply chains and SME manufacturing, where the practical win is workflow automation rather than frontier models.
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.
AI Infrastructure & MLOps in Punjab
Covering all 22 districts. Tell us what you are trying to change.
Or email bd@dtrasglobal.com · call +91 74118 77878