POD GPU

GPU PODs are designed to meet the demands of intensive processing and high performance, offering advanced resources for parallel computing. Ideal for applications that require maximum performance, such as training artificial intelligence models.

GPU
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Intel Xeon Processor

Intel Xeon offers exceptional performance and high speed, making it ideal for running deep learning frameworks.

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NVMe-based Units

Our GPU servers offer cutting-edge performance with the latest Intel Xeon processors and terabytes of NVMe storage.

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Full root/adm access

Have full control over your dedicated GPU servers, with full root/administrator access, in a simple and agile way.

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99.9% Uptime

With a robust infrastructure and international standard data centers, we guarantee 99.9% availability for hosted GPUs.

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Dedicated IP

You will have full access to unique Internet addresses, both in the IPv4 and IPv6 protocols, even in the most affordable GPU hosting plan.

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DDoS Protection

The resources are separated, ensuring the protection of your data. OPEN offers defense against DDoS attacks directly at the edge.

The Benefits of Choosing Our GPU Servers

OPEN is the ideal solution for those seeking maximum performance in their operations, providing advanced GPU hosting resources on bare metal hardware. This technology guarantees dedicated and optimized access, without interference from other users, avoiding resource sharing problems. Available on demand, with OPEN, you can take advantage of all the power of high-performance computing, whether for AI model training, graphic rendering, scientific analysis, or other intensive applications.

Servidor com GPU para Inteligência Artificial

GPU Server for Artificial Intelligence

In deep learning, opting for bare metal servers with GPUs is usually the ideal solution to achieve high performance. Training neural networks on large volumes of data requires significant processing power. Servers with dedicated GPUs offer the capacity needed to perform this process quickly and efficiently.

When choosing a GPU server for deep learning, it is essential to consider various aspects. One of the most relevant is the GPU model. NVIDIA GPUs are widely preferred in this field, with emphasis on the Tesla V100 and A100 series, which are among the most advanced. These GPUs stand out for their high internal memory bandwidth, low latency, and support for advanced features such as tensor cores.

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Servidor com GPU para Computação Científica

GPU Server for Scientific Computing

Servers with GPUs can be an ideal solution to meet the demands of scientific computing applications. These types of applications often require large processing capacity, and GPUs are capable of providing the performance needed to perform complex calculations efficiently and quickly.

When choosing GPU servers for this purpose, it is essential to consider the specifications of the GPU. NVIDIA GPUs are widely recognized for their high performance and support for advanced technologies such as CUDA and Tensor Cores. Among them, NVIDIA stands out as a popular option, offering high memory bandwidth, low latency, and advanced features that meet the needs of scientific computing.

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Servidor com GPU para Análise e Visualização de Dados

GPU Server for Data Analysis and Visualization

Bare metal servers with GPUs are ideal for data visualization and analysis, especially in large volumes of information and algorithms that require high computational capacity.

Our GPU server can accelerate data analysis tools and visualization software, increasing processing efficiency. NVIDIA GPUs are renowned for their high performance, CUDA compatibility and vast software ecosystem. Advanced models, such as the NVIDIA Tesla line, stand out for their greater memory capacity and optimized functionalities, guaranteeing significant improvements in intensive tasks such as visualization and data analysis. In addition, scalability and energy efficiency are important factors in the choice

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Servidor com GPU para Processamento Gráfico

GPU Server for Graphic Processing

Bare metal servers with GPUs are widely used in video rendering tasks due to their superior processing capacity and ability to handle large volumes of data.

Our GPU server excels in graphics processing and rendering, making them ideal for graphic design, game development, and video editing tasks. NVIDIA GPUs are highly recommended in this context, due to their high performance, support for CUDA technology, and wide range of compatible software. In addition, advanced models, such as the NVIDIA Quadro and Tesla series, offer greater memory, cores, and advanced features, which can result in significant improvements in video rendering performance.

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Servidor com GPU para Virtualização

GPU Server for Virtualization

Bare metal servers with GPUs are ideal for virtualization, allowing multiple virtual machines to share a single physical GPU device, maximizing the efficiency of computational resources. The choice of GPU model must meet the specific needs of the applications, and servers must have ample storage and memory capacity to support multiple applications.

In addition, a high-performance network connection is essential due to the intense data traffic between virtual machines. Virtualization with GPUs requires hardware and software compatibility, as well as advanced technical knowledge. Therefore, when using a GPU server, understand the requirements of virtualization software and drivers well.

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Servidor com GPU para Jogos em Nuvem

GPU Server for Cloud Gaming

Bare metal servers with GPUs are ideal for games that require high graphic performance. In general, game servers need powerful processors, fast memory, and low-latency network to ensure smoothness and quick data exchange. However, the need for GPU depends on the game's graphic requirements.

Games with simple graphics or designed for basic hardware can dispense with GPUs, as long as the server has a robust CPU, fast memory, and stable network. For games with higher graphic demand, the GPU becomes essential. In this case, NVIDIA GPUs are popular for offering high performance and support for advanced features such as CUDA and Tensor cores, which enhance graphic rendering and processing efficiency.

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Frequently Asked Questions About Bare Metal GPU Server Hosting

Dedicated servers with GPU (Graphics Processing Unit) are made to perform more demanding tasks that require a lot of processing power, such as creating graphics, training artificial intelligence, performing scientific simulations, and analyzing large amounts of data. They use special graphics cards (GPUs) that speed up the work and make everything faster.

Compared to servers that use only CPU, servers with GPU are faster, more precise, and can handle larger volumes of information. In addition, they consume less energy, which helps reduce companies' operating costs.

Overall, dedicated servers with GPU offer a powerful and efficient solution, ideal for companies that need high performance to run their most demanding applications.

GPU servers allow the choice of the operating system that best meets your needs. It is possible to use popular Linux distributions such as Ubuntu, CentOS, and Debian, or opt for systems such as Windows Server, according to the specific demands of each project. This flexibility ensures greater compatibility with different applications and facilitates the customization of the work environment.

The dedicated RTX server is a type of server that uses NVIDIA GeForce RTX video cards, developed to support advanced games, artificial intelligence, and applications that require high processing power. These cards are based on NVIDIA's Turing architecture and offer support for real-time ray tracing, a technology that enhances the effects of light and shadow in graphics.

This server is ideal for applications that need real-time ray tracing or advanced graphics features. Among the main uses are games, video rendering, 3D modeling, and machine learning applications, where high performance and graphics quality are essential.

The cost to rent a GPU server is usually defined based on the time of use and the hardware resources used. Factors such as the GPU model, the number of cards, storage, and bandwidth directly influence the final price. Each service provider may adopt different billing methods, allowing companies to choose the option that best meets their needs and budget.

To choose the ideal GPU server provider, it is important to evaluate several factors, such as hardware resources, performance, price, technical support, and reliability. It is also essential to consider the user's needs and budget. Comparing plans and analyzing user reviews from different providers helps identify the best option, guaranteeing a service that meets the specific demands of the project.

GPU server leasing is the rental of a server equipped with a video card (GPU) offered by specialized companies. This type of server is used to perform tasks that require high processing power, such as high-performance computing and training of machine learning models on a large scale. This option allows access to advanced resources without the need to invest in your own equipment.

The dedicated GTX server is a server that uses NVIDIA GeForce GTX video cards, known for their high performance in games and applications that require great processing power. These cards are capable of delivering excellent performance in activities such as games, 3D modeling, video rendering, and machine learning.

This type of server is ideal for applications that demand high-quality graphics and intensive processing. Among the main uses are game hosting, video streaming, and virtual reality experiences, ensuring stable and high-quality visuals.

The main security issues when renting GPU servers involve the protection of the network and data. It is essential to ensure that the network environment is secure to prevent cyberattacks and data leaks. In addition, it is necessary to take steps to protect confidential data stored on the server, minimizing unnecessary risks and ensuring the privacy and integrity of information.

The choice between GeForce, Quadro, and Tesla video cards for renting GPU servers depends on the specific needs of each application. Each has its own characteristics that stand out in different usage scenarios.

GeForce cards are ideal for games and general-purpose applications. They offer excellent performance in games, video rendering, and graphics computing, being a more affordable option for those seeking performance at a lower cost.

Quadro cards are designed for professional use in tasks such as 3D modeling, animation, and high-end graphics applications. They have greater precision, more memory bandwidth, and support for multiple monitors, making them the ideal choice for design, engineering, and animation professionals.

Tesla cards are aimed at high-performance computing, such as artificial intelligence, machine learning, and scientific simulations. They stand out for their ability to perform parallel computing on a large scale, being widely used in data centers and supercomputing environments.

Therefore, the best choice depends on the objective. For games and consumption, choose GeForce. For design, modeling, and animation, choose Quadro. For artificial intelligence and machine learning, the most suitable option is Tesla.

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