GPU Dedicated servers
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Renting a dedicated server with Nvidia GPU provides several benefits. GPU servers handle larger data and complex tasks much faster than traditional CPU servers due to their powerful parallel computing capabilities. This makes them ideal for training deep learning models, conducting scientific computing, and accelerating computing-intensive applications. Renting GPU servers can save individuals or businesses a lot of time and resources by avoiding the costs and hassle of purchasing and maintaining expensive hardware.
GPU servers are great for heavy tasks like machine learning, data analysis, and graphics rendering. Renting GPU servers lets you tap into their powerful performance, cutting down processing time and getting better results.
We offers various hardware options, so you can pick the GPU, memory, storage, and other components that fit your needs. This customization helps you optimize your resources for your specific tasks.
Renting GPU servers can be cheaper than buying your own hardware, especially if you only need them for a short period. Plus, you avoid the costs of maintaining and upgrading hardware since the rental provider handles that.
We are offers scalable options, letting you easily add or remove computing resources as your needs change. You only pay for what you need when you need it.
If you’re handling demanding tasks like large language models, computer vision, retrieval-augmented generation (RAG), or conversational AI, the NVIDIA H100 NVL is your go-to choice. Built on the Hopper architecture, it boasts 94GB of HBM3 memory and significantly outperforms older models. It enhances Llama 2 70B performance by up to 5X compared to A100 systems, speeds up HPC applications by 7X, accelerates AI training by 9X, and boosts inference by 30X.
The NVIDIA L4 GPU strikes the perfect balance between efficiency and performance. It’s ideal for video and image rendering, processing ML models, game streaming, graphics work, and virtualization. As the successor to the T4 GPU, it delivers up to 2.5X better performance and offers 50% more memory.
The NVIDIA Tesla T4 is a versatile and efficient GPU designed for both compute tasks and graphical rendering. It’s perfect for virtual desktop infrastructure (VDI) workloads, capable of switching between compute-heavy tasks and VDI operations seamlessly. Its compact size and low power consumption make it an excellent fit for a variety of server models.
For smaller language models, machine learning tasks, HPC simulations, product design, or video rendering, the NVIDIA L40S is a strong choice. It provides up to 1.2X better generative AI inference performance and up to 1.7X better training performance than the NVIDIA A100 Tensor Core GPU.
The NVIDIA A30 and A100 GPUs offer exceptional performance for deep learning and high-performance computing (HPC) applications. Available in selected double-width GPU-supported servers, these GPUs are perfect for tackling the most demanding AI tasks.
The NVIDIA A40 GPU is engineered for high-end graphics processing. It’s the best choice for video rendering, virtual reality projects, and virtual desktop infrastructure (VDI). Available in selected double-width GPU-supported servers, it ensures premium performance for graphics-intensive workloads.
Our GPUs are built for efficiency and power. They offer lightning-fast processing and excellent performance, ensuring tasks get done faster while using less energy.
Renting a dedicated GPU server is great for deep learning because it offers top performance. Training deep learning models requires a lot of computing power, especially with large datasets. Dedicated GPU servers provide the needed power to train these models quickly and efficiently.
When choosing a dedicated GPU server for deep learning, the most important factor is the GPU itself. NVIDIA GPUs, such as the latest H100, L40S, and A100, are popular choices due to their high internal storage bandwidth, low latency, and support for advanced features like tensor cores.
Leasing a GPU server is an excellent choice for scientific computing tasks. These applications require a lot of computing power, and GPU servers can handle these calculations quickly and efficiently.
When choosing a GPU server for scientific computing, the GPU itself is crucial. NVIDIA GPUs are often preferred for their high performance and support for advanced features like CUDA and Tensor cores. The NVIDIA Tesla V100 is a popular option because it offers high internal storage bandwidth, low latency, and advanced tensor core functions.
GPU servers are great for game servers, especially for games that need high-performance graphics. Generally, a game server needs a strong CPU, fast memory, and a low-latency network to ensure smooth gameplay and fast data transfer between the server and players. However, whether you need a GPU depends on the game's graphics requirements.
Some games, especially those with simple graphics or designed for low-end hardware, might not need a GPU. In these cases, a server with a powerful CPU, fast memory, and a good network connection will be enough. But for games with high graphics requirements, a GPU can be a valuable addition. NVIDIA GPUs are often the best choice for these servers due to their high performance and support for advanced features like CUDA and Tensor cores.
GPU servers are great for video rendering because they have high processing power and can handle large amounts of data. When choosing a GPU server for video rendering, you need to consider several factors..
The GPU model is crucial for video rendering. NVIDIA GPUs are popular for their high performance, CUDA support, and extensive software ecosystem. High-end GPUs like the NVIDIA Quadro and Tesla series offer more memory, cores, and advanced features, which can significantly improve video rendering performance.
Our GPUs are built for efficiency and power. They offer lightning-fast processing and excellent performance, ensuring tasks get done faster while using less energy.
Pick a server plan that fits your needs for GPU resources, processing power, storage, and bandwidth. You can rent it either monthly or yearly. The hosting provider will charge you based on the plan and rental period you select.
Once you get the server, you'll receive login details and instructions for remote access. Then, you can install and run your software on the server, using its dedicated GPU resources to speed up your applications.
Once you access the server, you can customize its settings to fit your needs. This might include choosing the operating system, software, and other configurations.
While we maintain the physical hardware and infrastructure, you're in charge of managing the software and applications on the server. This includes installing updates, managing backups, and setting up security.
A GPU dedicated server is a type of web hosting where you lease an entire physical server that includes one or more powerful Graphics Processing Units (GPUs). Unlike shared hosting, all the server's resources—CPU, RAM, storage, and the GPU—are exclusively yours.
This type of server is essential for tasks that require massive parallel processing power, such as:
AI and Deep Learning: Training complex machine learning models.
Video Editing and Rendering: Drastically cutting down rendering times for high-resolution video.
Scientific Computing: Running complex simulations and data analysis.
High-Performance Gaming: Hosting graphically intensive game servers for a smooth, lag-free experience.
At MIG servers, we focus on providing power, flexibility, and global performance. We offer:
A Wide Range of GPUs: We provide a massive selection of GPUs to fit any budget or workload, from the entry-level NVIDIA Tesla P4 to world-class powerhouses
Full Customization: We allow you to customize your server's configuration—CPU, RAM, storage, and specific GPU model—to perfectly match your project's requirements.
Global Low Latency: With servers located strategically around the world, we ensure you get a low-ping, high-speed connection, which is critical for gaming and real-time applications.
Transparent Pricing: Our plans are straightforward, with clear costs and powerful entry-level options.
Our GPU dedicated server plans are designed to be accessible for various projects. The lowest starting price for a GPU dedicated server is $125.00 per month.
Processor: Intel Xeon Silver 4116
RAM: 96GB DDR4
Storage: 2x 960GB SSD
GPU: NVIDIA Tesla P4 8GB
Prices increase based on the power and specifications of the GPU, CPU, and other components you choose.
We pride ourselves on offering the latest and most powerful GPUs for demanding professional workloads. Our high-end inventory includes industry-leading models such as:
NVIDIA H100 80GB
NVIDIA L40S 48GB
NVIDIA A100 80GB
NVIDIA RTX 6000 Ada Generation 48GB
NVIDIA A40 48GB
NVIDIA L4 24GB
This selection ensures that whether you are performing advanced AI research or rendering 8K video, we have the hardware to power your project.
Absolutely. Our GPU dedicated servers are an excellent choice for hosting game servers, especially for graphically demanding titles like ARK: Survival Evolved, Minecraft (with high-res texture packs/shaders), and Counter-Strike 2.
Renders game worlds and assets smoothly, preventing server-side lag, Our global server locations mean you can host your server closer to your player base, ensuring fast and responsive gameplay, and You can build a server with the perfect balance of CPU and GPU power that your specific game requires.
Yes, customization is a core feature at MIG servers. While we offer pre-configured plans, you have the freedom to build a server that fits your exact needs. You can work with our team to select your preferred
The process is simple and designed to get you up and running quickly:
Choose Your Plan: Select one of our pre-configured server plans or contact us to create a custom one that fits your needs and budget.
Configure Your Server: Finalize your server's specifications, including the operating system and any other initial software setup.
Receive Access: Once your server is deployed, we will send you all the necessary login details and instructions for secure remote access.
Manage Your Server: You have full control to manage your applications and data. We handle the hardware maintenance, network, and power so you can focus on your work.
NVIDIA GPUs like the A100 and H100 are the industry standard for AI and deep learning for several key reasons, These specialized cores are designed specifically to accelerate the matrix calculations that are fundamental to training AI models, leading to massive speedups.Models like the A100 80GB and H100 80GB have enormous amounts of high-bandwidth memory (VRAM), allowing you to train larger, more complex models with massive datasets.NVIDIA's CUDA platform is a mature and robust ecosystem with extensive library support (like TensorFlow and PyTorch), making it easier for developers to build and deploy AI applications.