GPU & LLM hosting
Your models. Your weights. Your hardware.
Dedicated NVIDIA L4, RTX 4090 and A100 instances in India — with one-click Ollama and vLLM templates. Flat monthly INR pricing, private by default.
Why ZoopHost GPU
AI infrastructure without the AI pricing games
Dedicated cards, honest monthly billing and a platform that treats 'deploy a model' like 'deploy an app' — because it should be.
Dedicated GPUs, not slices
The whole card is yours — no MIG partitioning, no queue, no noisy fine-tune next door.
One-click Ollama / vLLM
OpenAI-compatible endpoints in minutes with our templates, or bring your own stack in a container.
Private by default
Your weights, prompts and logs never leave your instance. No shared inference, no telemetry tax.
Balanced CPU + RAM
Every GPU node pairs the card with enough vCPU and system memory for real preprocessing and serving.
NVMe for models
Fast local NVMe means 70B-class weights load in seconds, not coffee breaks.
India-resident compute
GPUs live in Indian datacenters — latency for Indian users and a data story you can defend.
Workloads
What teams run on our GPUs
Always-on inference endpoints
Serve chat, embeddings or vision models behind OpenAI-compatible APIs with predictable monthly cost — no per-token roulette.
RAG & enterprise search
Run embedding models and vector databases next to your GPU — queries that used to take seconds now take milliseconds.
Fine-tuning & training
A100 80 GB for LoRA and full fine-tunes on your own data, with checkpoints on fast local NVMe.
Private copilots
Give your team a ChatGPT-style experience where every token stays on hardware you control.
Sovereign AI stack
The ChatGPT experience, minus the data leaving the building.
Give your team — or your product — an OpenAI-compatible endpoint backed by a GPU only you can touch. Prompts, completions, embeddings and logs stay on your instance, in an Indian datacenter, under Indian law.
- OpenAI-compatible API on your own endpoint
- Any open-weight model — Llama, Mistral, Qwen, yours
- Prompts and logs never leave your instance
- Flat monthly billing — no per-token anxiety
GPU questions
Before you pick a card
Can I run open models like Llama or Mistral?
Yes — that's the whole point. Deploy any open-weight model with one-click Ollama or vLLM templates, or bring your own container with CUDA 12. Llama, Mistral, Qwen, DeepSeek and any custom weights you own all run fine.
Dedicated GPU or shared/per-token platforms — which should I pick?
If you serve steady traffic, dedicated wins: predictable cost, no rate limits, and your data stays on your instance. Spiky hobby traffic is often cheaper per-token elsewhere — we're honest about that.
Do you help me deploy the model?
The one-click templates get an OpenAI-compatible endpoint running in minutes. For custom stacks, our platform engineers help you shape the deployment — the same humans who run the GPU nodes.
How is GPU hosting billed?
Flat monthly pricing in INR with a GST invoice — the card is yours 24/7 for the term. No per-hour surprise math, no egress games. Provisioning takes about 48 hours.
Ship your AI product on hardware you trust.
Dedicated GPUs from ₹9,999/mo with one-click model serving, GST invoicing and platform engineers on call.