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

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.

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.

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.

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.

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.

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.

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.

In most cases, yes. An RTX 4090 alone costs R$ 12-15k in hardware, with no server, cooling, power or redundancy. A monthly rental delivers the server ready, with SLA, support and replacement on failure. Buying only pays off with continuous 24/7 usage for more than 3-4 years.

The GPU Server is generic — it serves for neural network training, fine-tuning, computer vision, scientific computing, rendering. The LLM Server is a specialized variant: same hardware, but with Ollama, vLLM and llama.cpp preinstalled and optimized for serving LLMs (Llama 3, Mistral, DeepSeek).

100% dedicated. The VRAM, CUDA cores and Tensor Cores are exclusively yours. Unlike serverless or multi-tenant services, there is no "neighbor" competing for the GPU — predictable performance in training and inference.

Yes — Rollin Serviços Digitais e Tecnologia LTDA is a Brazilian company with a Tier III datacenter in São Paulo, NF-e, billing in BRL and human support 24/7. First Brazilian cloud specialized in AI, with dedicated products for GPU, LLM, vector DB and WhatsApp agents.

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).