What Is Cloud GPU? How Is It Different from a Regular Cloud Server?
Cloud GPU is more than just a high-specification server. The key difference lies in its ability to use graphics processing units to accelerate computations that benefit from parallel processing architectures. Understanding this distinction helps businesses avoid paying for unnecessary resources or choosing a server that cannot meet their software requirements.
What Is Cloud GPU?
Cloud GPU is a computing solution that provides access to GPU resources through cloud infrastructure. Depending on the service model, customers may use virtual servers with shared GPUs, partitioned GPU resources, or dedicated physical GPUs. Like a regular Cloud Server, it includes CPU, RAM, storage, an operating system, and network connectivity, but with additional graphics processing and specialized computing capabilities.
Advantages of Cloud GPU Over CPU-Based Cloud Servers
CPUs are designed to handle a wide range of computing tasks, particularly application logic, process coordination, and operations requiring strong single-core performance. GPUs contain numerous processing units that operate in parallel, making them suitable for large volumes of similar calculations, such as matrix multiplication, pixel processing, and frame rendering. As a result, GPU servers for AI can significantly reduce processing time when models and software are properly optimized.
| Criteria | Regular Cloud Server | Cloud GPU |
|---|---|---|
| Primary Resources | vCPU, RAM, SSD/NVMe | vCPU, RAM, SSD/NVMe, GPU, and VRAM |
| Suitable Workloads | Websites, APIs, databases, and management applications | AI training, inference, 3D rendering, and GPU-accelerated video processing |
| Acceleration Capabilities | Dependent on CPU performance | Offers advantages for parallel computing workloads |
| Cost | Generally lower when GPU resources are unnecessary | Additional costs for GPU resources |
Benefits of Renting Cloud GPU Instead of Investing in Physical Servers
Investing in dedicated GPU servers provides greater control over hardware but also requires significant spending on equipment, physical space, electricity, and technical personnel. For businesses beginning their AI journey or handling project-based computing workloads, renting GPU infrastructure converts part of the initial capital investment into recurring operating expenses. The key is to evaluate the total cost of ownership rather than focusing solely on monthly rental fees.
Reduce Initial Infrastructure Investment Costs
An AI computing system requires more than just a GPU. It also needs a sufficiently powerful CPU, adequate RAM, a compatible motherboard, high-speed storage, a reliable power supply, network connectivity, and an effective cooling solution. Purchasing all these components upfront requires substantial capital before a business can determine whether the project will fully utilize the available computing power. Renting Cloud GPU for AI allows businesses to experiment with models without purchasing an entire hardware system.
This advantage is particularly valuable for startups, research teams, and creative studios handling seasonal rendering projects. Rental costs can be aligned with actual usage, making it easier to evaluate project profitability. However, if GPU resources are required continuously over an extended period, businesses should compare the total rental cost against purchasing hardware or renting a dedicated physical server. The most cost-effective solution depends on workload intensity and project duration.
Flexible Scalability and Configuration Adjustments
GPU requirements often change throughout a project's lifecycle. During product development, a technical team may only need to experiment with small datasets. However, when deploying inference services for multiple users or performing model fine-tuning, the demand for VRAM, CPU, and RAM may increase. A rental model allows businesses to discuss hardware upgrades, switch service plans, or separate workloads when necessary instead of investing in oversized infrastructure from the beginning.
Reduce Hardware Operations and Maintenance Responsibilities
Operating servers in an office requires businesses to maintain electrical systems, cooling equipment, Internet connectivity, environmental controls, and hardware repair procedures. With server rental services, the provider manages the physical infrastructure according to the service agreement. This allows project teams to focus more on model development, source code optimization, data management, and product testing rather than spending time maintaining server rooms and physical equipment.
Why Should You Consider Renting Cloud GPU from HostingViet?
HostingViet provides a range of infrastructure services, including Cloud VPS, VPS NVMe, and Dedicated Servers. For projects requiring GPUs for AI training, image processing, or rendering, HostingViet accepts custom requirements and provides configuration consultations. This approach helps customers select a balanced combination of GPU, CPU, RAM, storage, and network resources instead of assuming that standard VPS plans automatically include GPU capabilities.
Hardware Infrastructure Designed for Demanding Computing Workloads
The performance of a GPU Server depends on the entire system rather than the graphics processor alone. HostingViet's dedicated server options include Intel Xeon CPUs, DDR4 RAM, and Enterprise SSD/NVMe storage. NVMe drives are especially useful when loading datasets, reading large numbers of image files, writing logs, or saving checkpoints during training. If storage performance cannot keep up with GPU processing speed, even a powerful GPU may experience delays while waiting for data.
Regarding graphics cards, HostingViet's dedicated server add-on options include the NVIDIA Tesla K40 12GB, along with 2GB and 4GB GPU options. The Tesla K40 is an older-generation GPU and should not automatically be considered suitable for modern AI frameworks. Customers requiring NVIDIA RTX, A100, H100, or GPUs with larger VRAM capacities should confirm availability, hardware condition, and software compatibility before placing an order. HostingViet does not list these GPU models as standard configurations in its currently published server plans.
Stable Network Connectivity and 99.99% Uptime
When training AI models or processing video remotely, reliable network connectivity is essential for transferring datasets, synchronizing source code, and retrieving results. HostingViet's dedicated server services list 200Mbps Clean Traffic after DDoS/Firewall filtering, along with unlimited bandwidth on standard plans. Its infrastructure is deployed in data centers operated by providers such as FPT, CMC, and VNPT, making it worth considering for systems serving users in Vietnam.
Strong Focus on Security, DDoS Protection, and Data Backup
Datasets, source code, and model weights can represent valuable business assets. HostingViet's dedicated server infrastructure uses firewall layers and DDoS protection mechanisms. These measures help reduce infrastructure-level security risks but do not replace proper user access controls, SSH key protection, credential management, software updates, and encryption of sensitive information.
Some HostingViet Cloud VPS services include automatic backup features. For customized GPU servers, customers should confirm backup schedules, data coverage, the number of retained backups, and recovery times. For Deep Learning projects in particular, checkpoints should be saved regularly to independent storage to minimize lost progress if a training process is interrupted. DDoS protection and backup services should not be regarded as absolute guarantees of data security.
24/7 Technical Support Team
When renting infrastructure for large-scale data processing, timely technical assistance can significantly reduce the time needed to diagnose and resolve issues. HostingViet provides 24/7 technical support for dedicated server services, including weekends and public holidays. Customers can request assistance with matters covered by their service agreement, such as server status, network connectivity, hardware issues, and available server management support.
Cloud GPU Rental Pricing at HostingViet in 2026
Cloud GPU rental pricing depends on the GPU model, VRAM capacity, resource allocation method, CPU, RAM, storage, and rental duration. HostingViet currently accepts customized GPU requirements for consultation and quotation. A fixed Cloud GPU pricing table with complete GPU, vCPU, and RAM specifications is not publicly listed. To help customers estimate their budgets, the following table summarizes base dedicated server plans that may be considered for additional GPU configurations. These are not preconfigured Cloud GPU packages with graphics cards already included.
| Plan / Configuration | Number of GPUs | RAM | vCPU / CPU | SSD/NVMe Storage | Bandwidth | Reference Price |
|---|---|---|---|---|---|---|
| Custom Cloud GPU / VPS GPU | Based on requirements | Custom quotation | Custom quotation | Custom quotation | Custom quotation | Contact HostingViet |
| DS V3 Dedicated Server + Optional GPU | GPU not included; available options subject to quotation | 32GB DDR4 | Physical Xeon E5 V3 CPU; vCPU not applicable | 960GB Enterprise SSD/NVMe | Unlimited; 200Mbps Clean Traffic network | From 3,300,000 VND/month + GPU |
| DS V4 Dedicated Server + Optional GPU | GPU not included; available options subject to quotation | 64GB DDR4 | Physical Xeon E5 V4 CPU; vCPU not applicable | 960GB Enterprise SSD/NVMe | Unlimited; 200Mbps Clean Traffic network | From 3,950,000 VND/month + GPU |
| DS Silver Dedicated Server + Optional GPU | GPU not included; available options subject to quotation | 96GB DDR4 | Physical Xeon Silver CPU; vCPU not applicable | 960GB Enterprise SSD/NVMe | Unlimited; 200Mbps Clean Traffic network | From 5,150,000 VND/month + GPU |
| DS Gold 1 Dedicated Server + Optional GPU | GPU not included; available options subject to quotation | 128GB DDR4 | Physical Xeon Gold CPU; vCPU not applicable | 1.92TB Enterprise SSD/NVMe | Unlimited; 200Mbps Clean Traffic network | From 7,500,000 VND/month + GPU |
Important note: The base prices above are based on dedicated server rental plans with a 12-month billing cycle. Prices exclude GPUs, 10% VAT, and other additional services. GPU installation compatibility must be confirmed by the technical team for each server configuration. Not every server automatically supports the specific graphics card requested by a customer. Prices, promotional offers, and hardware availability may change at the time of registration.
For dedicated server services, HostingViet also provides the following reference prices for optional GPU add-ons:
| Additional GPU Option | Reference Price / Month | Notes |
|---|---|---|
| 2GB GPU | 450,000 VND | Depends on brand and availability; not necessarily suitable for AI workloads |
| 4GB GPU | 900,000 VND | Software compatibility and VRAM requirements must be verified |
| NVIDIA Tesla K40 12GB | 3,800,000 VND | Older-generation GPU; driver and CUDA compatibility must be checked before use |
| Specialized GPU for Modern AI Applications | Contact for a quotation | GPU model, VRAM capacity, and quantity must be confirmed |
If you are experimenting with an internal chatbot or a small computer vision model, prioritize identifying the required VRAM capacity and expected runtime before requesting a quotation. For 3D rendering, consider scene complexity, texture sizes, and whether the rendering software supports GPU acceleration. If your project requires continuous training of large models, discuss dedicated GPU resources, checkpoint storage, storage capacity, and internal network connectivity. This approach helps allocate your budget according to actual workloads rather than simply choosing the most expensive graphics card.
How to Rent Cloud GPU at HostingViet.vn
For customized GPU servers, the registration process should begin by clearly identifying the project's technical requirements. Choosing the right configuration from the beginning helps prevent additional expenses caused by insufficient VRAM, driver conflicts, or inadequate storage capacity. Customers can follow these four steps:
- Step 1 – Visit HostingViet and Submit Your Requirements: Go to hostingviet.vn and explore the Cloud and Server service categories or the AI server rental page. Prepare details about your project, including whether it involves AI training, inference, rendering, video processing, or simulation. Providing the software name and expected usage duration is also recommended.
- Step 2 – Discuss and Finalize Your Configuration: Specify your preferred GPU model, minimum VRAM capacity, dataset size, RAM, CPU, SSD/NVMe storage, operating system, and network requirements. Ask HostingViet to confirm GPU availability, CUDA/driver compatibility, resource allocation options, backup policies, service-level agreements (SLAs), and scalability options before signing a contract.
- Step 3 – Confirm Pricing, Billing Cycle, and Terms: Review the base infrastructure rental price, additional GPU costs, VAT, IP address fees, storage charges, software licenses, and management fees, if applicable. Check the rental duration, service delivery procedures, configuration change policies, renewal terms, and termination conditions. Once all details have been agreed upon, complete the registration and payment process as instructed.
- Step 4 – Receive Administrative Access and Deploy Your Workloads: After the infrastructure has been provisioned, verify access permissions, resource configurations, and network connectivity. Install or check the appropriate NVIDIA drivers, CUDA toolkit, frameworks, and application environment. Run a sample workload to measure CPU/GPU performance, verify VRAM availability, and configure checkpoints, backups, and monitoring alerts to reduce operational risks.
For systems requiring multiple GPUs, low-latency processing, or the handling of critical internal business data, it is advisable to agree on the deployment approach with the technical team before making payment. You can also contact the hotline at 024.2222.2223 to discuss suitable configurations and pricing. Choosing a GPU configuration that meets your actual requirements is more important than selecting a cheaper plan that cannot properly support your software.
Conclusion
Renting Cloud GPU allows businesses to access computing resources for AI, Machine Learning, and rendering without investing in an entire infrastructure system upfront. To make an effective choice, businesses should carefully evaluate GPU performance, VRAM, CPU, RAM, storage, scalability, and total operating costs. HostingViet is ready to help customers identify server configurations that match their actual workloads. Visit HostingViet.vn or call 024.2222.2223 for configuration consultation, customized pricing, and information about current promotions.
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