At KW Servers, we offer high-performance GPU dedicated servers built for demanding computing tasks. Whether you're running AI training, deep learning, complex simulations, or data-intensive workloads, our servers deliver the power and speed you need.
Equipped with the latest NVIDIA GPUs, our servers are optimized for parallel processing and accelerated computing. Choose from single or dual GPU configurations, customize your setup, and install the software that fits your project requirements.
Get the performance, flexibility, and reliability you need with KW Servers' GPU dedicated servers-available in multiple locations worldwide.
We guarantee uptime and performance with our network SLAs, ensuring your operations run smoothly without interruptions.
Our high-quality network connects directly with major internet providers and exchanges, delivering your content quickly and efficiently.
Boost your computing power with the same GPUs used by the world's fastest supercomputers. Perfect for AI, machine learning, and other demanding tasks.
Our GPU servers offer exceptional power and performance at an affordable price, helping you maximize your ROI while handling heavy workloads efficiently.
Our servers are equipped with the latest GPU technology, providing unmatched processing power for complex and graphics-heavy tasks.
NVIDIA GPUs perform better per watt than traditional CPUs, reducing energy use and saving costs, especially for large-scale computations.
Enjoy super-fast data access with our all-SSD and NVMe storage, offering quick read/write speeds for better data processing and efficiency.
Easily scale your computing resources up or down as needed. This flexibility helps businesses adapt to changing workloads, improving efficiency and reducing costs.
Powerful KW Servers Dedicated GPU Servers for HPC Workloads
Supercharge your high-performance computing (HPC) projects with KW Servers' Dedicated GPU Servers. Our bare metal servers come equipped with high quality AMD and Nvidia GPU accelerators, making them ideal for demanding tasks like AI (Artificial Intelligence), ML (Machine Learning), data processing, and gaming.
Our GPU servers are specifically designed to handle heavy workloads, making them perfect for complex simulations, training AI models, or boosting gaming performance. Whether you need a pre-configured server or want to fully customize one to meet your specific requirements, KW Servers offers you complete control over your server setup.
With KW Servers' Dedicated GPU Servers, you'll experience high performance, reliability, and seamless scalability. Get started in minutes and power your applications with the finest GPU server solutions available.
If you're working on artificial intelligence (AI) or machine learning, our GPU servers can help you train models faster and run complex algorithms without delays. This means you can get results quicker and improve your projects efficiently.
If you're analyzing large datasets or running simulations, our GPU servers provide the power you need to handle complex calculations quickly. This makes your work more efficient and helps you focus on finding insights.
For game developers and virtual reality (VR) creators, our GPU servers offer the performance needed to build and test high-quality games and VR applications. This ensures smooth gameplay and immersive experiences for your users.
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.
The NVIDIA H100 NVL GPU is designed for demanding tasks such as large language models, computer vision, retrieval-augmented generation (RAG), and conversational AI. Built with the Hopper architecture and equipped with 94GB of HBM3 memory, this GPU boosts Llama 2 70B performance by up to 5X compared to A100 systems. It accelerates HPC applications by 7X, AI training by 9X, and inference by 30X.
The NVIDIA L4 GPU offers up to 2.5X better performance than its predecessor, the T4, with 50% more memory. It's perfect for tasks like video and image rendering, machine learning model processing, game streaming, and graphics, thanks to its energy efficiency.
The L40S GPU is designed for smaller language models (LLMs), machine learning (ML) tasks, HPC simulations, and video rendering. It offers up to 1.2X better performance in generative AI inference and up to 1.7X better training performance compared to the NVIDIA A100 Tensor Core GPU.
The NVIDIA Tesla T4 GPU is a versatile solution for virtual desktop infrastructure (VDI) workloads, capable of switching between compute tasks and graphical rendering. Its compact size and low power consumption make it ideal for various server models, making it perfect for both compute and graphical tasks.
The NVIDIA A30 and A100 GPUs, available in selected double-width GPU-supported servers, are top-of-the-line solutions for deep learning and high-performance computing (HPC) applications. These GPUs deliver excellent acceleration for demanding AI tasks, providing the performance you need for the most resource-intensive applications.
The NVIDIA A40 GPU, available in selected double-width GPU-supported servers, is built for high-performance graphics processing. It's the ideal choice for video rendering, virtual reality, and VDI projects, offering the power and reliability needed for complex graphics workloads.
Investing in a GPU dedicated server offers unparalleled computational power for a wide range of demanding applications. Here, we address common inquiries about these high-performance GPU servers, from their core functionality to specific use cases in gaming, AI, and more.
A GPU dedicated server is a specialized type of custom dedicated server that integrates Graphics Processing Units (GPUs) alongside traditional CPUs. Unlike standard servers, these machines are built to excel at parallel processing, making them ideal for computationally intensive tasks like machine learning, AI, gaming, and complex scientific simulations, significantly boosting overall computational efficiency.
Integrating a GPU into a server dramatically increases its computation power, especially for parallel tasks. GPUs are critical for applications involving large datasets and complex calculations, such as AI training, graphics rendering, and machine learning. They offer superior efficiency compared to CPU-only servers for these workloads, delivering optimal performance output by handling many operations simultaneously. For tasks requiring a GPU server, this translates directly to faster processing and quicker results.
We offer a range of powerful NVIDIA GPU accelerators to enhance your GPU server capabilities. These GPUs are chosen for their high performance and suitability for various demanding applications in hosting environments, ensuring your GPU dedicated server can handle the most intensive workloads.
Once you've selected your desired GPU when deploying a custom dedicated server that supports GPU accelerators, the deployment time can vary. Generally, it takes between 24 to 48 hours for your GPU dedicated server to be fully deployed, depending on your chosen region and specific configuration. We prioritize efficient setup to get your GPU server operational swiftly.
Our custom dedicated servers with GPU support a wide array of operating systems. This includes popular Linux distributions like Ubuntu (22.04, 24.04), Debian (11, 12), AlmaLinux (8, 9, 10), CentOS (7.9, 8, 9), and Windows Server (2019, 2022). We also support VMware ESXi (7, 8), and you have the flexibility to self-install any other custom Operating System via IP KVM on your GPU server.
No, a dedicated GPU uses its own high-speed Video RAM (VRAM) to perform processing tasks, which is separate from the server's main system RAM. This dedicated memory allows the GPU to quickly reference massive datasets and process resource-intensive tasks without overloading the system's main memory, ensuring superior performance on your GPU server.
Generally, you cannot physically add more memory onto a dedicated GPU itself, as the VRAM chips are integrated into the GPU board. If your computational demands require more GPU memory, the solution is typically to purchase a GPU server with a higher VRAM capacity or consider a server configuration with multiple GPUs to distribute the workload.
GPU dedicated servers are crucial for delivering high-performance gaming experiences. They provide the immense parallel processing power needed to render complex graphics, simulate realistic physics, and process real-time game data much faster than traditional CPU-only servers. This results in higher frame rates, lower latency, high-resolution displays, and an overall smoother, more immersive gaming experience, whether for direct gameplay, cloud gaming, or esports. A powerful GPU server is key to unlocking next-level gaming.
Absolutely. While many simple game servers offload rendering to the client, GPU dedicated servers are immensely beneficial for hosting resource-intensive online games, especially those with complex graphics or physics. They ensure consistent performance, minimize lag spikes for competitive play, and can handle the heavy real-time processing required for large numbers of players in esports tournaments and multiplayer gaming. For games that require a "headless client" (a game client running on the server without a display), a GPU server is often essential.
GPU dedicated servers are invaluable for game developers and testers. They provide the necessary computing power for resource-intensive game design, including 3D rendering of assets, complex simulations, and rigorous testing across various hardware configurations. Developers can efficiently create and test games, simulate game environments, and optimize performance under different conditions, accelerating the development cycle and ensuring a high-quality end product using a robust GPU server.
Yes, GPU dedicated servers are the backbone of modern cloud gaming and game streaming services. They enable providers to run high-quality games on the server side, rendering graphics and processing game data in the cloud, and then streaming the gameplay to users' devices over the internet. This allows users to play demanding games on devices that may not have the local processing power, providing a seamless and immersive experience with reduced latency and high-quality visuals. Similarly, game streamers leverage GPU servers for real-time video encoding and smooth broadcasting of their gameplay to online audiences.
GPU dedicated servers are critical for VR and AR applications in gaming. They provide the immense processing power required to render highly realistic graphics and deliver immersive experiences with smooth frame rates and high visual fidelity. Their ability to handle complex graphical computations efficiently is key to preventing motion sickness and ensuring a seamless, responsive VR/AR gaming environment with your GPU server.
KW Servers offers high-performance dedicated servers with full control, strong security, and expert support in multiple continents. Select your preferred location below: