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NVIDIA GPUs · AI-Ready · Managed Support

NVIDIA GPU Server Hosting for AI & ML

High-performance dedicated GPU servers for AI training, deep learning, and inference workloads. Pre-configured with your choice of ML framework, managed by Ucartz experts.

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GPU Server Use Cases

Our GPU servers are purpose-built for compute-intensive AI and ML workloads.

AI Model Training

Train custom AI models with NVIDIA GPU acceleration. Supports PyTorch, TensorFlow, JAX, and more.

Private LLM Inference

Run large language models like LLaMA 3, Mistral, and Mixtral at production speed on your own GPU hardware.

Computer Vision

Image recognition, object detection, and video analysis with GPU-accelerated deep learning pipelines.

Data Science & HPC

High-performance computing for data science, simulation, and scientific research workloads.

Game Servers

GPU-powered game servers and rendering workloads with low-latency dedicated hardware.

Video Rendering

GPU-accelerated video transcoding, rendering, and streaming for media production pipelines.

From order to a working AI stack

  1. 1

    Pick a GPU plan

    Choose the GPU memory and CPU/RAM that match your model size and number of users.

  2. 2

    OS and drivers

    We install your Linux distribution with NVIDIA drivers, CUDA and the container toolkit.

  3. 3

    Your framework

    PyTorch, TensorFlow, Jupyter, Ollama or vLLM, configured and tested on the GPU.

  4. 4

    Handover

    Full root access plus documentation. Extra help is pay-as-you-go.

Included with every GPU server

Full root access

Dedicated hardware with no noisy neighbours and complete control of the software stack.

Driver & CUDA setup

NVIDIA drivers, CUDA and cuDNN installed on request, so you can start training straight away.

Container ready

Docker with GPU support for reproducible training and inference environments.

Monitoring basics

GPU utilisation, temperature and memory visible with standard NVIDIA tools.

DDoS protection

Network-level protection on public endpoints and APIs.

Free Basic Managed Support

Complimentary help with quick tasks of about 5 minutes, plus engineers by the hour.

Pricing

OptionPriceBest for
GPU dedicated serversfrom $382.72/moTraining, fine-tuning and multi-user inference
Private LLM installationquoted per projectA ready-to-use model with chat UI or API
On-demand engineer$8 / 15 min · $28 / hourFramework upgrades, tuning and troubleshooting

Get Your GPU Server Today

Dedicated GPU servers from $382.72/month. Pre-configured with your preferred ML stack by Ucartz engineers.

View GPU Plans Private LLM Setup

Which GPU server do I need?

Rough starting points for running AI models in 4-bit quantisation. We confirm sizing before you order.

WorkloadGPU memory neededTypical use
7B to 8B language models8 GB or moreChat assistants, summaries, internal tools
13B to 14B language models12 to 16 GBSupport drafts, document Q&A
70B-class language models40 GB or moreAdvanced reasoning, coding, multilingual
Image generation8 to 24 GBStable Diffusion and similar models
Training and fine-tuning24 GB to multi-GPUCustom models on your own data

Example project: from GPU order to a working model

An illustrative scope to show how a typical project runs. Every project is scoped with you first.

  • The goalRun a chat model and an image model for an internal tool without per-request API fees.
  • What gets builtA GPU server with drivers, CUDA and an inference stack such as Ollama or vLLM, plus a secured API endpoint.
  • Typical scopeHardware is sized with you first; setup and handover follow, with support per task after that.
From infrastructure to a working system

GPU server for AI: we build it, hand it over and stay on call

Getting AI and automation into production takes more than hardware. We design and deploy the whole system on your own server, document it and hand it over. After that, you can call us per task or per hour, with no retainer.

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Included free

Free Basic Managed Support

Every Ucartz server includes Free Basic Managed Support: complimentary, best-effort help with quick tasks of about 5 minutes, such as access checks, restarts, OS reinstalls and DNS pointing.

What is included →
Pay as you go

Plug-and-play expert help

Model updates, new workflows, scaling or fixes after handover. From $8 per 15 minutes or $28 per hour, with no monthly commitment.

See on-demand support →
Projects

AI, automation & custom builds

Private LLMs (Ollama, Llama, Mistral), RAG over your documents, n8n and API automations, GPU/CUDA stacks and custom internal tools.

Plan a project →

Frequently asked questions

Can I get a GPU server in India?

Yes. We deploy GPU and AI infrastructure within India. Our Indian locations include Indore, Mumbai and Raipur; the GPU models, services and capacity available vary by location, so tell us what you need and our team will confirm the options before you order.

Which GPU do I need for my model?

As a rule of thumb, a quantised 7B–8B model needs about 8 GB of GPU memory, 13B models 12–16 GB and 70B-class models 40 GB or more. We help you size it before you order.

Do you install the AI frameworks for me?

Yes. On request we install NVIDIA drivers, CUDA, PyTorch or TensorFlow, Jupyter and runtimes such as Ollama or vLLM.

Is the GPU shared with other customers?

No. GPU dedicated servers are single-tenant, so the whole GPU and server are yours.

Can I run a private ChatGPT-style assistant on it?

Yes. We can install an open-weight model with a chat interface and API, secured with SSL and authentication.

Can Ucartz build an AI or automation system for my business?

Yes. We deploy private LLMs, retrieval over your documents, n8n workflows and API integrations on your own server, then hand them over with documentation.

Do I have to buy a support plan after the project?

No. After handover you can call us per task, from $8 per 15 minutes or $28 per hour, or choose a monthly plan only if you want one.

Does my data stay on my server?

Yes. Private LLM and automation deployments run on infrastructure you control, so prompts and documents are not sent to third-party AI services unless you choose to.