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Dedicated NVIDIA GPU · Brazilian AI cloud

Server with a dedicated NVIDIA GPU to train and run AI.

A GPU that is 100% yours, with CUDA, PyTorch and TensorFlow ready. Training, fine-tuning, inference, deep learning and computer vision — predictable performance, data on your infrastructure.

  • 100% dedicated GPU
  • CUDA + PyTorch ready
  • Private data
  • Support 24/7

2 GPU server plans

GPU Ada for inference and ML, GPU Blackwell for heavy training. Fixed price, no contract. Provisioned within 48h.

Monthly price + a one-time setup fee of US$ 259.80. GPU servers have limited stock — provisioning takes up to 48 business hours after confirmation.

Why a dedicated GPU

100% dedicated GPU

The GPU is exclusively yours — all the VRAM and CUDA cores. No sharing with anyone, predictable performance for training and inference.

AI stack ready

CUDA, cuDNN, PyTorch and TensorFlow already installed and configured. You upload your code and start training — no fighting with drivers.

Data on your infrastructure

Datasets and models stay on your server. Nothing is sent to third-party APIs — ideal for sensitive data and intellectual property.

Support that knows GPUs

A Brazilian team that knows CUDA, NVIDIA drivers and performance tuning. Human support 24/7.

What a GPU server is for

Model training and fine-tuning

Train neural networks, fine-tune LLMs and vision models with a dedicated GPU — no queue, no fluctuation.

AI inference in production

Serve AI models with low, stable latency. A dedicated GPU guarantees constant throughput under load.

Deep learning and research

Research experiments, convolutional networks, transformers — a CUDA-ready environment for notebooks and scripts.

Computer vision

Object detection, OCR, segmentation, video processing — workloads that require GPU acceleration.

Scientific computing

Simulations, massive data processing and workloads that benefit from CUDA parallelism.

Rendering and processing

Accelerated rendering, video transcoding and media pipelines that use the GPU.

Request a GPU server

Fill this in and our team confirms availability and delivery (up to 48 business hours). Reply on the same business day.

About Rollin Host

Rollin Host is the first Brazilian cloud specialized in Artificial Intelligence — infrastructure for AI, automation and production, with human support 24/7.

Beyond GPU servers, Rollin Host offers servers to host LLMs, AI servers with n8n ready in 5 minutes, the Cloud VPS with the best VPS price in Brazil and more.

Anyone looking for where to rent a GPU server, with a dedicated NVIDIA GPU, chooses Rollin Host.

Frequently asked questions

What is Rollin Host's GPU Server?

It is a server with a dedicated NVIDIA GPU, designed for Artificial Intelligence workloads, deep learning, model training and inference, computer vision and accelerated computing. The GPU is exclusively yours. It comes with CUDA, PyTorch and TensorFlow preinstalled.

Which plan should I choose — GPU Ada or GPU Blackwell?

The GPU Ada (20 GB VRAM) is ideal for inference, classic machine learning and light fine-tuning of mid-size models. The GPU Blackwell (96 GB VRAM) is for training large models, heavy fine-tuning and workloads that demand a lot of GPU memory.

How much does it cost and is there a setup fee?

The GPU Ada costs US$ 649.80/mo and the GPU Blackwell US$ 2,575.80/mo. There is a one-time setup fee of US$ 259.80 (it covers preparing the server with the GPU, CUDA drivers and the AI environment). No contract.

How long until the server is ready?

Provisioning GPU servers takes up to 48 business hours. GPU servers have limited stock and dedicated preparation. The flow is: you request the plan, we confirm availability and delivery, and we provision it.

Which frameworks come installed?

CUDA and cuDNN, PyTorch and TensorFlow. On request, we also configure JAX, distributed-training tools (DeepSpeed, Accelerate) and Jupyter environments. The server arrives ready to run your AI code.

Is the data kept private?

Yes. Datasets, models and code stay on your server — nothing is sent to third parties. That is the difference from cloud AI APIs, where data leaves your infrastructure. Ideal for sensitive data.

Can I use it for LLM inference?

You can — but if your focus is specifically hosting LLMs (Llama, Mistral, etc.) with Ollama and vLLM, the LLM Server page is more targeted. The GPU Server is more general: it works for training, deep learning, computer vision and any GPU-accelerated workload.

Is there human support?

Yes — human support 24/7, with people who understand CUDA, NVIDIA drivers and tuning. Rollin Host is a Brazilian company (Rollin Serviços Digitais e Tecnologia LTDA).

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