Sarvam 2B is a 2-billion-parameter model built specifically for Indian languages. Host360 gives you the GPU capacity, the pre-configured stack, and the engineers to take it from a Hugging Face checkout to a production endpoint — inside Indian data centres.
TECHNICAL SPECIFICATIONS
Most multilingual models treat Indic scripts as an afterthought. Sarvam 2B was trained the other way round — roughly half of its ~4 trillion token corpus is Indic. The practical effect shows up in your GPU bill, not just your benchmarks.
Multilingual Enterprise AI
A 2B model is cheap to run and difficult to run well. Getting Sarvam 2B into production means picking the right GPU for your concurrency profile, building a fine-tuning loop for your domain data, choosing a serving stack that batches properly, and keeping the whole thing inside your compliance boundary. Host360 covers all four.
Serve users across languages.
Compare infrastructure options for deploying Sarvam 2B across multilingual AI applications, customer engagement platforms, and enterprise workloads.
| Feature | Host360 AI Infrastructure Contact Sales | Generic Cloud Provider Contact Sales | On-Premises Deployment Contact Sales |
|---|---|---|---|
RELATED INFRASTRUCTURE SERVICES
Build a complete environment for Sarvam 2B with infrastructure, networking, storage, security, and operational services.
Every RTX 8000 workload runs inside Indian data centres. Full data residency, no cross-border transfer.
Significantly lower GPU compute costs than AWS, Azure and GCP — priced in INR
Choose on-demand cloud GPU for bursty inference or dedicated bare-metal for sustained fine-tuning.
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
On-demand cloud for bursts, dedicated bare-metal for sustained runs — same portal, same support.
What engineering and product leaders say after moving Indic workloads onto Indian infrastructure.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
FREQUENTLY ASKED QUESTIONS
Learn more about deploying, scaling, and managing Sarvam 2B in enterprise environments.
Sarvam 2B is a multilingual language model designed for conversational AI, content generation, and enterprise applications.
Yes. Sarvam 2B can run on dedicated infrastructure with full control over security, access, and governance.
Multilingual chatbots, customer support, content generation, business automation, and enterprise knowledge systems.
Yes. Host360 provides GPU compute, networking, storage, security controls, and deployment support.
Yes. Sarvam 2B is designed to enable multilingual and regional language experiences across applications.
Dedicated infrastructure delivers better performance, scalability, reliability, and operational control.
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Tell us your languages, your traffic profile and your compliance constraints. We'll come back with a sizing recommendation and a deployment plan — not a generic quote.
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Optimize inference resources.
Simplify AI infrastructure.
| AI Workload Optimization |
| Included |
| Manual Tuning |
| Customer Managed |
| Private Networking | Included | Additional Configuration | Available |
| Scalability | On-Demand | On-Demand | Hardware Limited |
| Monitoring & Operations | Included | Limited | Internal Team |
| Security Controls | Enterprise Ready | Self Configured | Customer Controlled |
| Time to Deployment | Faster | Moderate | Longer Setup Cycles |
| Deployment Type | — | — | — |
Fast storage designed for models, datasets, and AI workloads.
Cloud engineers who understand AI workloads, backed by a 99.99% uptime SLA.
“Eleven languages of product copy across a 40,000-SKU catalogue. Host360 sized the GPU for what a 2B model actually needs instead of selling us a cluster, and the batch job that used to run overnight now finishes before the merchandising team logs in.”
Ananya Bose
“Their team asked what our concurrency and p95 latency targets were before quoting anything. That was a first. We ended up on a smaller instance than we'd budgeted for and it has held through two election-week traffic spikes.”
Faisal Sheikh
“Data residency wasn't a preference for us, it was a procurement gate. Host360 answered it down to the rack, had the DPDP documentation ready, and a CERT-In empanelled auditor on file. That closed the file in one meeting.”
Shweta Kulkarni
“We fine-tune on our own tutoring transcripts, so the data can't leave our environment. Private deployment on dedicated GPU solved that. Support actually understands LoRA and vLLM — we're not explaining our stack to a ticket queue.”