High-Performance GPU Dedicated Servers
Upgrade your computing power and increase your server capacity with highly customizable, high-performance GPU servers.
Upgrade your computing power and increase your server capacity with highly customizable, high-performance GPU servers.
GTZHost's GPU servers deliver unmatched power for your most demanding applications. With robust customization options and cutting-edge GPU acceleration, they are perfect for AI, graphics rendering, video transcoding, and other intensive data tasks. Experience the ultimate performance boost for your resource-hungry workloads.
Processor Name | RAM | Storage | Bandwidth | Monthly Price | |
---|---|---|---|---|---|
Intel Xeon E5-2620 v3 2.40 GHz 6Cores Nvidia Quadro K4200 PID-12451 REF-DC-121 | 128GB DDR4 | 960GB SSD | 1Gbps | $ 382 /Mo. |
Processor Name | RAM | Storage | Bandwidth | Monthly Price | |
---|---|---|---|---|---|
Intel Xeon E-2456 3.30 GHz 6Cores 12Threads GeForce RTX 3070 Ti 8GB PID-14172 REF-DC-161 | 32GB DDR4 | 500GB SSD | 15TB | $ 313 /Mo. |
Choose the perfect GPU to match your workload and requirements. Customize servers to meet your speed and capacity specifications.
Customize our Dedicated GPU servers to match your precise requirements.
Experience high performance with GPU acceleration without breaking the bank. Explore our cost-effective solutions with an excellent price-to-performance ratio.
Our high-bandwidth connectivity options, coupled with a redundant, low-latency network, ensure the utmost availability of your GPU-processed data and graphics.
Utilize the power of dedicated servers equipped with graphics cards to elevate graphical design performance across a spectrum of design applications. From graphic design software to 3D modeling tools, video editing suites, and a range of visual design applications, these servers revolutionize creative workflows. A GPU server excels at rendering intricate 3D models, applying intricate visual effects, and swiftly processing high-resolution images, surpassing the capabilities of traditional CPU-based systems. This translates to a substantial boost in productivity and workflow efficiency, empowering graphic designers to achieve new levels of creativity and speed in their projects.
GPU-based servers are pivotal in machine learning and deep learning, significantly speeding up neural network training and inference. These networks are crucial for many algorithms, requiring immense processing power, especially with large datasets. Dedicated servers with advanced graphics cards empower data scientists and machine learning engineers with faster model training and execution, surpassing CPU limitations. This speed boost enhances model accuracy and development efficiency in Artificial Intelligence.
GPU servers are pivotal in the gaming industry, ensuring high-quality graphics and smooth gameplay. They define frame rates, resolution, and overall visual quality, essential for delivering an immersive gaming experience. Unlike cloud-based solutions, dedicated GPU servers at GTZHost provide unparalleled performance by eliminating virtualization overhead. This guarantees complete resource control, enabling developers and publishers to optimize games to their full potential. Customized specifically for gaming, our GPU servers handle demanding workloads with ease, supporting multiple players simultaneously. Located in high-speed data centers, they ensure low-latency gaming experiences from anywhere in the world. Choose GTZHost for dedicated GPU solutions crafted for excellence.
GPU servers play a vital role in accelerating scientific simulations, particularly in high-performance computing, large-scale simulations, and machine learning. Their parallel processing capabilities make them well-suited for tasks such as simulating complex systems and analyzing extensive datasets. Beyond just speeding up simulations, GPU servers enable researchers to conduct analyses that were previously unfeasible due to data size and complexity. This advancement has profound implications for fields like astronomy, climate science, genomics, and more, driving innovation and new discoveries.
A GPU-dedicated server is a physical server exclusively dedicated to an individual or organization and equipped with one or multiple GPUs (graphics processing units). These servers excel at performing high-performance computing workloads requiring considerable parallel processing capabilities, such as scientific simulations, machine learning, and video rendering. Unlike CPU-based servers, GPU servers leverage their multitude of cores to significantly enhance processing speed for tasks that can be divided into numerous smaller computations executed concurrently. This parallel computing capability is a key advantage of GPUs over CPUs. GPU dedicated servers are available for purchase or lease from various hosting providers, offering varying GPU types, quantities, memory capacities, and storage options. Managed remotely, these servers allow users to access their computational resources from anywhere via internet connections, providing flexibility and accessibility for intensive computing needs.
Making the computational capability of a server more robust is done by adding a GPU, which will allow a server to handle more complex and demanding tasks. As opposed to the regular central processing units (CPUs), graphic processing units (GPUs) perform much better in parallel computing tasks thus making them perfect for applications such as machine learning, scientific simulations, and gaming. By integrating this approach, it speeds up compute-intensive applications that increase performance and efficiency required for activities like video rendering, transcoding, or big data analytics.
In hosting environments, popular GPU options include Nvidia GeForce, Quadro, Tesla, and RTX Server. The GPU you choose will be determined by the exact requirements of your apps and tasks.
When selecting a GPU instance, it is important to take into account factors like the nature and intricacy of your applications, RAM and storage requirements and desired level of customization and support.
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