Open-source AI on your infrastructure. Your data stays put.
Llama 3, Mistral, Qwen — deployed on your AWS or DigitalOcean. RAG chatbots, content generation, document extraction. Fixed monthly cost; data never leaves your infra.
What's included
Capabilities
Model deployment
Llama 3.3 / Mistral / Qwen on your AWS, DO, or on-prem. GPU rental optional.
RAG pipeline
Vector DB + embeddings + retrieval. Trained on your docs (PDFs, website, KB).
API + UI
REST API for your apps + admin UI for your team. Integrate anywhere.
Multilingual
Qwen / fine-tuned for Hindi + Indian languages. Quality matches OpenAI for Indian content.
Fixed cost
₹25-60K/mo running, regardless of usage. No surprise OpenAI bills.
Data residency
DPDP / regulated industries. Data never leaves your infra. SOC2 / HIPAA -aligned setups available.
Investment
Pick your tier
Starter Setup
Single use case
- Single model deployment (Mistral 7B or Llama 8B)
- Single GPU instance (L4/A10)
- Basic RAG (single doc set)
- Simple admin UI
- 30-day support
Standard Stack
Most-picked — production AI
- Llama 70B or Qwen 72B
- Larger GPU (L40S / H100)
- Full RAG pipeline (multi-source)
- Vector DB + embeddings refresh
- Multi-user UI + roles
- WhatsApp + web channels
- 60-day support
Custom + Fine-tune
Domain-specific, regulated
- Custom model fine-tuning (LoRA/QLoRA)
- Multi-GPU cluster
- Multiple use cases (chat + extraction + content)
- DPDP / SOC2 / HIPAA architecture
- Air-gapped option
- Custom integrations
- 90-day support
Tech we use
Boring, battle-tested
Want the deep guide?
Related insight
InsightSelf Hosted Llm India Smb
Full guide on this topic — costs, options, what we ship.
Ready to discuss your project?
30-min call. Honest assessment. No pitch deck.
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