India's next foundation model won't be borrowed.
It will be built here.
India has already proven it can author its own AI stack. The bottleneck is the engineering classrooms feeding talent into it. Vritti AI Labs is the infrastructure to build sovereign AI foundation models where computer-science students stop being API consumers and start becoming model builders, with a local GPU floor, open-weight foundations to fork and fine-tune, and faculty trained to teach the full author-level stack.
Three years. Four sovereign Indian models. One generation that will build, not just borrow.
India's foundation-model decade has officially started. Every one of these initiatives is hiring engineers your colleges should be graduating. The question is whether your classrooms are equipped to produce them.
AI4Bharat ships IndicTrans2 — the world's best open Indic translation system.
A 1.1B-parameter machine translation model trained entirely at IIT Madras on Indian compute, supporting 22 Indian languages. It outperforms every commercial closed system on Indian benchmarks — proof that the talent and the infrastructure to author serious models in India already exists.
IIT Madras · AI4Bharat CentreIndiaAI Mission · ₹10,372 Cr approved by the Union Cabinet.
A US$1.25 billion national commitment to sovereign AI compute, indigenous foundation models, an Indian datasets bank, and an AI startup financing facility. The demand for engineers who can build — not just call APIs — multiplied overnight.
MeitY · IndiaAI MissionSarvam launches Sarvam-1 — first Indian-trained foundation LLM.
A 2-billion-parameter foundation model trained from scratch on Indian languages, on Indian compute, by an Indian team. The pattern is now set. The next decade's Indian foundation models will pull from colleges that produced engineers who can build them.
Sarvam AI · BengaluruYour campus is the next link in the chain.
Every IndiaAI initiative needs engineers shaped in classrooms with the right hardware, the right open foundations, and the right faculty. The colleges that move now will be the ones whose alumni show up at the first interview for the next BharatGen, the next Sarvam, the next Krutrim.
Vritti AI Labs Builder Brief · 2026India's foundation-model decade needs more engineers than it currently has.
We mapped published AICTE, NASSCOM and MeitY education-and-employment data against the announced IndiaAI hiring pipeline. The gap is the opportunity — and it is sitting inside your classrooms.
Three layers. One PO. Built for builders, not browsers.
Forge is not a lab for running other people's models. It is the production-grade environment where Indian computer-science students learn to author, fine-tune, and ship their own — on hardware sized for real training runs, with the open foundations and the Indic models pre-loaded and ready.
A GPU floor for training, not just inference.
Server-class NVIDIA hardware plus an edge AI cluster, sized for 30 simultaneous students running real fine-tuning and small-scale pre-training workloads — not just calling someone else's endpoint.
- Server GPURTX A4000 / A5000 16–24GB
- Edge AIJetson AGX Orin 64GB + 4× Orin Nano
- Faculty rigRTX 3060 12GB, 32GB RAM
- Student seats28 thin-client workstations
- Storage2TB NVMe + RAID-1 dataset cache
Open weights to fork, fine-tune, and ship.
Every Forge lab ships with the open foundation-model catalogue commissioned, quantized, and ready — including the Indian-built ones. Students fork on day one and start contributing back by week six.
- Global LLMsLlama-3 8B/70B · Mistral · DeepSeek
- Indian LLMsSarvam · Krutrim · IndicTrans 2
- VisionYOLO v8 · SAM · OpenCV pipelines
- Vector DBpgvector + Chroma, on-prem
- SpeechWhisper · Piper TTS
Faculty who can teach model-building, not model-using.
A lab without trained faculty is a server-room. Forge bundles 7 days of on-site Train-the-Trainer that goes deeper than API calls — fine-tuning, RLHF, evaluation harnesses, RAG pipelines, and a from-scratch transformer capstone — plus NVIDIA DLI credential alignment.
- TTT7 days on-site, certified instructors
- Capstones8 modules · transformer from scratch
- CredentialingNVIDIA DLI + Vritti certificates
- Curriculum mappingMSBTE · VTU · NEP-2020 aligned
- AMC1 year on-site · 3 visits + helpdesk
A 30-seat builder's lab, ruggedised for the Indian campus.
Built on the Vritti BOM that has installed networking, edge devices and AV across MH and KA institutions for two decades. Every Forge node is documented, sized for full training runs, and serviced by a field team that already knows your buildings.
The Placement War Room.
Students build the system. Recruiters notice.
Watch your final-year cohort command an agent swarm — coded and orchestrated by them — that sources 214 jobs, tailors 214 applications, and grills a randomly-chosen student in a live voice-AI mock interview. All in under thirty minutes. All on local hardware. All built, not bought.
It's a wonder-first sales spectacle for visitors, a 6-week student capstone for the cohort, and the cleanest demonstration that an Indian classroom can produce engineers who ship — not just engineers who explain.
Three Forge tiers. Pick the one your campus is ready for.
Three configurations, one platform. Pricing is shared on briefing — sized to your campus footprint, faculty count, and Phase-2 attach plan. Design-partner terms available for the first three institutions in each tier.
- 20-seat AI starter lab
- Jetson Orin Nano cluster
- Open-source LLM + vision stack
- 5-day faculty TTT on-site
- STEM-aligned curriculum kit
- 30-seat full Forge configuration
- RTX A4000 GPU server + Jetson AGX Orin
- Full open-weight model catalogue
- 7-day faculty TTT + 8 capstones
- NVIDIA DLI curriculum alignment
- Placement War Room capstone included
- RTX A5000/A6000 upgrade path
- Multi-Jetson edge cluster
- Extended faculty TTT (10 days)
- Research-grade model fine-tuning
- Advanced sensor + robotics kit
- Priority service + 4 AMC visits
What changes for your campus once Forge is on the floor.
Capability shift
"Our cohort pre-trained a 124M-parameter transformer end-to-end on our Forge — first time students at our college have built a model, not just read about one."
Anonymised IQAC Director · Pune private engineering collegePlacement signal
"Sarvam's campus team asked whether our seniors had ever fine-tuned a model. They have — and they have the Hugging Face commits to prove it."
TPO · Karnataka autonomous institutionNational contribution
"Two of our capstone datasets are now in the IndiaAI Kosh open bank. Our college is on the contributor list for India's sovereign AI stack."
Director · MSBTE-affiliated collegeFrom explainer to builder
"Three years ago our students could explain transformers in interviews. Now they can build them. That is the entire shift Forge makes possible."
HoD CSE · Western Maharashtra collegeIndia's foundation-model decade has started. Be the campus that builds it.
A 30-minute briefing for your IQAC Director, Registrar, or HoD CSE. We arrive with the BOM, the curriculum map, the rollout calendar, and a pricing sheet sized to your campus. The working plan to turn your CSE department from API users into model builders.