High-performance GPU server, fast deployment, optimized for AI, rendering, training, machine learning and workloads that require graphics processing power.
Start nowPricing 1 month and 12 months are 15% off, including popular GPU configurations for AI, rendering, model training and workloads that require graphics processing power.
Dedicated Server with 2 Nvidia Tesla P40 cards
Dedicated Server with 2 Nvidia RTX 3090 cards
Enjoy dedicated performance & resource optimization
Dedicated Server with 8 Nvidia RTX3090 cards
Dedicated Server with 1 Nvidia A30 card
New generation powerful Tensor Core server
New generation powerful Tensor Core server
Server GPU SXM2 - Nvlink support
New generation powerful Tensor Core server
New generation powerful Tensor Core server
New generation powerful AI server
New generation powerful Tensor Core server
New generation server with L40S GPU
New generation powerful AI server
New generation powerful Tensor Core server
New generation server with A100 40GB GPU
New generation server with A100 80GB GPU
New generation server with H100 80GB GPU
Optimized for AI, deep learning, video rendering, image processing and problems that require GPU acceleration.
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Consulting CPU, RAM and storage according to the right workload to avoid lack of resources or wasted costs.
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Prepare a quick user environment, support installing drivers, frameworks or software as needed.
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The technical team accompanies the implementation, optimization and troubleshooting of operational problems.
Buy nowA GPU server is a server equipped with specialized graphics cards to accelerate parallel computing, AI, rendering and large data processing tasks.
Unlike regular CPU servers, GPU servers are suitable for problems that require thousands of cores to process simultaneously such as model training, inference, video rendering or simulation.
VPSTTT wants to bring the best operating experience to customers. For more detailed information, you can contact us via Fanpage or ZaloOA.
GPU servers are suitable for AI, machine learning, rendering, simulation and workloads that need continuous graphics processing power. Dedicated GPU resources help shorten job run times, proactively control the software environment, and operate more stably when workloads last many hours.
Train models, run notebooks, process large datasets and test AI algorithms with CUDA, PyTorch or TensorFlow. GPU server helps reduce training time and proactively allocate resources for many testing sessions.
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Accelerate 3D rendering, video, animation or professional graphics workflows. Suitable for studios, design teams and projects that need to export multiple frames, scenes or high-resolution videos.
Buy today Deploying AI services needs to respond quickly, handle many requests and operate stably. Can be used for chatbots, computer vision, OCR, image generation or backend AI production.
Buy today Suitable for simulation, big data analysis, research lab or problems that require GPUs according to the project. Customers can choose the appropriate configuration to balance performance, cost and rental time.
Buy todayVPSTTT advises on GPU configuration according to the right workload, supports fast deployment and optimizes usage costs.
Resources are optimized for long-term workloads, limiting CPU, RAM, disk and network congestion. Suitable for systems that need continuous operation, high load and require stable response for many hours of operation.
Network infrastructure, firewalls, authorization and operating procedures are designed to reduce the risk of unauthorized access. The technical team can assist in testing security configurations, service ports, and access policies.
Customers can fully customize the operating system, software, service configuration and operating policies. This is a great advantage when you need to deploy your own system, internal app or virtualization platform.
VPSTTT accompanies from configuration consulting, initial deployment to troubleshooting support during operation. Customers have a technical contact channel for support when problems arise.
Can upgrade resources or add servers, racks, IP, bandwidth according to the growth scale of the system. This helps businesses expand step by step without having to redesign the entire infrastructure.
Service packages have clear configurations and can be customized according to individual budgets and technical requirements. VPSTTT advises based on actual workload to avoid choosing excess resources or lack of performance.
Common questions when using server services at VPSTTT.
Have. GPU servers are suitable for training, inference, machine learning, deep learning and workloads that need GPU acceleration.
Support can be provided upon request, including GPU drivers, CUDA, frameworks or project runtime environments.
Price depends on the type of GPU, CPU, RAM, storage, rental time and workload, so VPSTTT advises on quotes according to specific needs.
Consultation can be made according to actual needs and GPU resource status at the time of registration.
GPU Server packages have a 12-month payment option with a 15% discount on the monthly unit price.
Have. Customers can get appropriate administrative access to install the environment, framework, source code, and tools for the project.
Depends on workload. RTX 3090/4090 is suitable for many common AI and rendering problems, A100/H100 is suitable for intensive training, large models or higher computing needs.
Have. Many configurations already have large capacity NVMe SSDs, and VPSTTT can advise on additional backup or snapshot options according to operational needs.
You need a powerful GPU but don't want to invest in the hardware yourself from the beginning or have to handle all the electricity, networking, cooling and maintenance yourself.
Renting a GPU Server helps deploy quickly and flexibly according to workload and budget, especially for AI, rendering or research projects that need strong resources in each stage.
VPSTTT has a variety of GPU options from RTX, A-series to H100 to suit both testing, production and intensive workload needs.
Order ngayServer GPU helps shorten processing time for heavy computing tasks, especially AI, rendering, model training, inference and big data analysis.
VPSTTT supports choosing appropriate GPU, CPU, RAM and storage to optimize project costs. Customers can start with a sufficient configuration, then expand to more powerful GPU lines as workload increases.
The technical team can advise on the operating environment, drivers, CUDA, AI framework and storage options to get the GPU server ready to serve work faster.
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