Dedicated NVIDIA GPU to run AI in a Data Center in Brazil

A GPU server is a server equipped with one or more graphics cards to accelerate parallel processing. It is used to train and run artificial intelligence models, perform LLM inference, 3D rendering, data analytics and VDI. With EVEO's dedicated GPU, the entire graphics card is reserved for your company, inside a complete server (CPU, memory and NVMe storage).

EVEO's dedicated GPU is suited for companies that run intensive workloads and need stable performance, without competing for resources with other customers. The main projects are:

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• Training and operating artificial intelligence and machine learning models, including LLM inference.
• Data analytics and big data processing.
• Professional 3D rendering and high-performance computing (HPC).
• Virtualization of engineering or architecture workstations (VDI).

In hyperscale public clouds, graphics resources usually run on fluctuating or shared demand, which exposes your operation to resource contention with other users and to operational instability. EVEO removes that friction by delivering full isolation. Your company is not affected by performance swings caused by others and has continuous availability to run complex models without interruptions or hardware surprises. We also replace complex traffic calculators with predictable corporate billing.

Your company gets a stable billing model suited to the budget realities of the Brazilian market. Unlike international providers that bill in foreign currency and are subject to daily exchange rate swings, EVEO contracts have fixed prices in Brazilian reais. We do not charge surprise fees on internal data transfer or traffic, which gives you real predictability and financial security when planning your business.

Yes. Traffic is unlimited, with no charge for the volume transferred and no data egress fees. The network port speed depends on the plan you contract and is confirmed in the proposal.

We work with a curated portfolio of latest-generation NVIDIA hardware to serve different stages of technology maturity:

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• NVIDIA Tesla T10: optimized for robust graphics virtualization and stable VDI infrastructure.

• NVIDIA RTX PRO 4500 Server Edition: Built for professional AI workloads, computer graphics and high-performance processing.

• NVIDIA RTX PRO 6000 Server Edition: ideal for advanced AI, computer graphics and high-performance workloads.

• NVIDIA H200: latest-generation compute capacity, with large memory capacity and massive throughput for the most demanding workloads.

• NVIDIA HGX B300: designed for large-scale AI training and inference, with high-performance processing.

In personal computers, a dedicated graphics card is one with its own chip and memory, while an integrated one sits inside the processor and shares system memory. In servers, "dedicated" means something else: the GPU belongs exclusively to a single customer. With a shared GPU, the card is split among several users and performance fluctuates with how others use it. With EVEO's dedicated GPU, cores, VRAM and bandwidth belong only to your company, making the whole operation more stable and predictable.

A GPU (Graphics Processing Unit) is the processor on a graphics card. A CPU has a few cores, optimized to run tasks in sequence. A GPU has thousands of cores working in parallel, which makes it much faster at massive, repetitive calculations such as training AI models, rendering 3D images and processing large volumes of data. In a GPU server, the two work together: the CPU coordinates the system and the GPU accelerates the heavy workloads.

Yes. The number of cards depends on the chosen model and the server chassis. In multi-GPU configurations, such as H200 with NVLink and the HGX cluster with 8 B300 GPUs, the cards communicate over NVLink, a high-speed interconnect built for AI and different from SLI, which was designed for gaming. Our technical team sizes the configuration together with your team.

Yes. At EVEO, you host models such as Llama, DeepSeek, Qwen or Mistral in your own environment, without sending data to third-party APIs. It is an option for companies that want to use generative AI with sensitive data while keeping the information in Brazil and under their own team's control.

The GPU server can be combined with local NVMe storage, for data that needs fast reads, and with EVEO's Object Storage, for larger dataset volumes. The architecture is defined together with your team based on data volume and access frequency.

The GPU servers are hosted in Tier III Data Centers in Cotia, Osasco, Curitiba, Fortaleza and Miami. Training and inference data stays on Brazilian soil, under Brazilian law. This makes compliance with the LGPD (Brazil's General Data Protection Law) easier and reduces latency for users in Brazil.