Service · WebJi® India

GPU Server Hosting India

Quick answer

GPU server hosting in India is a rented machine with one or more graphics cards for AI training, inference or rendering. WebJi® quotes the GPU class, vCPU, RAM and NVMe by email in INR before you pay, with 18% GST added. Sample sizes are GPU-1 with one entry card and GPU-2 with two.

For AI teams, render studios and researchers who need card memory and parallel compute, billed on an Indian GST invoice.

✓ In business since 2005

✓ INR + GST billing

✓ 24/7 Email Support — avg reply < 60 min

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2005since
Jaipur · IN

In business: 21+ yrs
Reply time: <60 min
Clients: 12K+
Billing: INR + GST

Last editorial update: 14 November 2026. Prices follow the dated sources on this page; checkout confirms current charges.

What is a GPU server, and when does it beat a CPU server?

A GPU server is a rented machine with one or more graphics cards that do parallel arithmetic, while the CPU runs the operating system and feeds the card data. Model training, inference and 3D or video rendering repeat the same operation across millions of values, so a card finishes them far sooner than a CPU — provided the job fits in the card’s memory.

Three things decide the fit: VRAM, whether you get the whole card, and whether CPU, RAM and NVMe can keep the card busy. The CPU vs GPU guide explains which workloads gain and which do not.

VRAM: the model weights or scene must fit in the card’s memory, with room left for working data.
Whole card or slice: a whole card is a GPU dedicated server; a fraction is a shared slice. The quote says which.
Feeding the card: a fast card still stalls if the disk or CPU cannot supply data quickly enough.

GPU server sample configurations at WebJi®

WebJi® shows two sample GPU server sizes, one card or two, and quotes the GPU class, vCPU, RAM and NVMe in INR before you pay. These rows are sizes, not a price list; the card model and its availability are confirmed in the quote.

GPU server sample configurations — quoted per requirement, 18% GST added on the invoice
Sample configuration	Specs	Best for	Order
GPU-1	8 vCPU · 32 GB RAM · 1× GPU (entry AI/render class) · NVMe	Inference, rendering	Get Custom Quote →
GPU-2	16 vCPU · 64 GB RAM · 2× GPU · NVMe	Model fine-tuning, batch rendering	Get Custom Quote →

Sample configurations — GPU model class and availability quoted per requirement. You pay only after you accept the figure.

Who should rent a GPU server in India?

Rent a GPU server when the work is parallel and heavy: AI model training or fine-tuning, LLM and vision inference, Blender or video rendering, and scientific batch jobs. A brochure site, WordPress shop or mail server gains nothing from a card.

AI start-ups and labs

Fine-tune an open model on GPU-2’s two cards, then serve it from a single-card machine. Running a model on a CPU-only VPS is covered in running an LLM on a VPS.

Animation and VFX studios

Batch-render frames overnight without tying up artists’ workstations; a finished frame in the output folder confirms the card is rendering.

Research groups

Run simulations or data-science notebooks that need more VRAM than a laptop GPU, billed to an Indian GST invoice.

If the job needs CPU, RAM and disk but no card, a dedicated server from ₹4,999/month before 18% GST is the cheaper rent; sites that only display images belong on cloud hosting.

How much GPU memory (VRAM) do you need?

For an AI model, VRAM needed is roughly the number of parameters multiplied by the bytes stored per parameter, plus working headroom. At 16-bit precision each parameter takes 2 bytes, so a 7-billion-parameter model needs about 14 GB for weights alone; 4-bit quantisation cuts that to about 3.5 GB.

Rough VRAM for model weights by precision (weights only; add headroom for context and activations)
Model size	16-bit (2 bytes)	8-bit (1 byte)	4-bit (0.5 byte)
7 billion parameters	≈ 14 GB	≈ 7 GB	≈ 3.5 GB
13 billion parameters	≈ 26 GB	≈ 13 GB	≈ 6.5 GB

Training needs several times more memory than inference, because gradients and optimiser state sit beside the weights. For rendering, the whole scene, textures included, must fit in VRAM. Put your figure in the quote request so the card class matches it.

Is a cheap GPU dedicated server just a smaller rental?

Yes: a cheaper GPU dedicated server means a smaller card or one card instead of two, never a shared website account with a GPU label. You rent the machine for the term you accept; the card stays with the provider when the term ends.

A fraction of a card can be the right rent when the model fits in that slice, but take it only if the quote says the card is shared. WebJi® does not publish an hourly or monthly card rate and does not claim to be cheaper than any other cloud; compare bills only when both name the same card and the same month, after tax.

How to request a GPU server from WebJi®

Email the workload, accept the INR quote, then log in and confirm the driver reports the card the quote named.

Write to support@webji.services, or use the contact form, with the job (training, inference or rendering), the VRAM you need, one card or two, and how long it runs.
Read the reply: GPU class, vCPU, RAM, NVMe, operating system and one INR figure before 18% GST. Nothing is billed before you accept.
Log in and check the card; on NVIDIA cards, nvidia-smi lists the model, VRAM and driver version.

Support is 24/7 by email in Hindi and English, average first reply under 60 minutes. Clients are served online from the Jaipur office at Shop #27, Ajmer Road, Tagore Nagar; there is no walk-in branch elsewhere.

FAQ

Frequently asked questions

How much does GPU server hosting cost in India at WebJi®?

There is no published rupee rate. Email the workload and the reply states one INR figure before you pay, with 18% GST added on the invoice. GPU-1 and GPU-2 are sample sizes to anchor the conversation, not prices.

Will WebJi® name the exact NVIDIA model?

Yes, in the quote, once availability is confirmed for your dates. The page shows only a card class because availability is confirmed per requirement. Do not pay against a card name you have not seen in writing, and check it with the driver after login.

Can I install CUDA, PyTorch or my own drivers?

On a whole-card server you get administrative access and install your own stack, such as CUDA, PyTorch or Blender, unless the quote says otherwise. State the operating system you want in the request so the image suits your framework.

Can I rent a GPU server for a short project?

Tell the desk how long the job runs when you ask for a quote; the term is part of the figure you accept. Copy your datasets and results off the server before the term ends, because the hardware stays with the provider.

Does a GPU server need a GST invoice for a company?

It is issued automatically. Webji Hosting Pvt. Ltd. bills in INR with 18% GST shown separately; add your company GSTIN to the billing profile before payment if you want input tax credit.