What is GPU Server Hosting?
GPU server hosting refers to the renting of a dedicated server or virtual machine that runs GPUs provided by NVIDIA or AMD. GPUs have hundreds or thousands of small cores, which allows a great number of calculations to be made simultaneously.
These servers provide high performance with superior memory to handle complex loads.
A CPU can execute tasks one after another at a fast speed, but a GPU can execute multiple components of a problem simultaneously, which is critical to training deep-learning models, creating high-end visual effects, and running vast financial datasets.
In this blog, we will review the top 10 GPU hosting providers so that you can select the best one.
Top 10 GPU Server Hosting Providers Comparison Table
Let’s have a bird’s-eye view of all the primary aspects of the GPU hosting providers.
| GPU Server Hosting Provider | Pricing | Storage | Bandwidth | Free Domain | SSL Certificate | Email Accounts | Uptime Guarantee | Key Features |
| Cantech | 3,999/month (Basic) -19,500/month (GPU Plans) | NVMe SSD | Tier-4 High-Speed Network | Yes | Yes | Unlimited | 99.97% | High-end NVIDIA GPUs, Tier-3/4 Data Centres, Custom Configurations, AI Frameworks Pre-installed, 24/7 Expert Support, Full root access. |
| Cyfuture Cloud | 19,995/month | NVMe SSD | Global Low-Latency Network | Optional | Yes | Yes | 99.95% | On-Demand GPU Instances, Scalable Cloud, Cost-effective Cloud GPU |
| OVHcloud | 33/hour onwards | NVMe | 25 Gbps Network | No | Yes | Optional | 99.9% | High-performance, Global Cloud Data Compliance, Certified, Transparency, GPU Choice Variety. |
| VyomCloud | 299/month (Entry vGPU) | SSD / NVLink | 400 Gbps High-Speed | No | Yes | Yes | 99.9% | Multi-GPU Support; Secured Storage; Global Deployment; Pre-built AI Frameworks. |
| Serverwala | Custom Quote (A100 / Multi-GPU) | SSD | Redundant Power Network | Yes | Yes | Yes | 99.99% | Dedicated Servers; DDoS Protection; Full root control; Global Data Centres. |
| MilesWeb | Custom Based on GPU Type | NVMe SSD | Unlimited | Optional | Yes | Yes | 99.95% | Entry-Level GPU Hosting; Enterprise Security; Customisable Operating System; SSD-Optimised Performance. |
| LeapSwitch | 1,56,000 (A100 Setup) | SSD | High-Speed Tier-3 | Optional | Yes | Yes | 99.9% | Dedicated GPUs (A40, A100, RTX 3090). |
| NetForChoice | On Request | SSD | High-Speed Private Cloud | No | Yes | Yes | 99.9% | Tier-4 Secure Data Centres, 24/7 Support |
| Net2Secure | On Request | NVMe SSD | 10-25 Gbps Network | Optional | Yes | Yes | 99.9% | Tier-IV Data Centres; Multi-layer Security; 24/7 Support. |
| ServerBasket | 1,46,799 (Dedicated) 3,499/month (Cloud) | NVMe SSD / SAS HDD | Unlimited | Optional | Yes | Yes | 99.995% | NVIDIA and AMD GPUs; Free Configuration. |
GPU Server Hosting Providers (Detailed Comparison)
Now, let’s discuss them in detail:
1. Cantech
Overview
Cantech is the top GPU server hosting provider in India as it has the best infrastructure and enterprise-level reliability. The latest NVIDIA GPUs, such as H100, H200, A100, and L40S, power our servers, and each plan is deployed in Tier 3 and Tier 4 data centers.
Key Features
- Complete administrative control
- Remote monitoring
- Secure data storage
- Customizable configurations
- Linux-based systems that provide flexibility
- AI and scientific computing workload optimised.
- Built-in TensorFlow, PyTorch, and others.
Pros
- 99.97 percent uptime with proactive monitoring
- Dedicated 24/7 support team
- Multiple-tier enhanced protection: firewalls, PCI, ISO certifications, DDoS protection, backup connectivity, etc.
- Adherence to regulatory requirements
- Large selection of NVIDIA GPUs: A40, A5000, H100, H200.
- Advanced workload custom configurations,
- Fast data transfer through a Tier 4 network
- Pre-built environments of common AI frameworks.
Cons
GPU pricing is available only on request and is priced high-end.
Pricing Summary
Cantech provides custom and flexible plans for a monthly plan. Basic dedicated servers start at 3,999/month. Options based on GPU, like NVIDIA A2, start at approximately 19,500/month. Multi-GPU systems can be configured for research and enterprise projects.
Best For
Cantech is best for enterprises and researchers working on AI training, big data analysis, rendering, and advanced simulations. Its uptime, customization, and support make it the best GPU server hosting provider.
2. Cyfuture Cloud
Overview
Cyfuture Cloud is a recognised provider that offers low-cost and scalable cloud GPU solutions. It provides NVIDIA models like L4, A30, and H100, which offer high performance with flexible configuration options.
Key Features
- NVMe SSD storage
- Global network of low-latency access
- Select on-demand or interruptible instances.
Pros
- Wide GPU selection: K80, T4, V100, H100
- GPU hosting on the cloud at a low cost.
- Global accessibility and Tier-4 secure data centres.
Cons
- Interruptible instances may face session drops
- Limited control compared to fully dedicated servers
Pricing Summary
The basic plans of Cyfuture Cloud begin with ₹19,995 a month.
Best For
Cyfuture Cloud is ideal for startups, small businesses, and research teams that require the use of GPU cloud hosting in machine learning, video processing, or data analytics projects.
3. OVHcloud
Overview
OVHcloud is known for the diversity of the solutions based on GPUs, including NVIDIA GPUs, including H100, V100S, A10, L40S, and QuadroRTX5000. It is a reliable option among regulated industries.
Key Features
- Up to 25 Gbps network capacity
- NVMe storage
- Secure private networking
- Server management through an intuitive control panel, API or command-line interface.
Pros
- GPUs of diverse types, customized to AI, ML, and graphics applications
- Transparent pricing model
- Focus on sustainability
- Data compliance and privacy protection certified.
- Fast network speed with both private and public.
Cons
- Complicated configuration of non-technical users.
- Long-term costs can be raised through hourly pricing.
Pricing Summary
Depending on the type and performance of the GPU and configuration, prices of the GPU start at ₹33/hour with Quadro RTX5000 and reach up to ₹248/hour with NVIDIA H100 models.
Best For
OVHcloud offers high-performance cloud-based GPU architectures for deep learning, scientific computing, and real-time rendering with high standards of compliance.
4. VyomCloud
Overview
VyamCloud provides enterprise-level GPU hosting based on modern NVIDIA and AMD GPUs such as H100, A100, and RTX 4090. These servers are designed to deliver scalable and reliable performance to data-intensive applications.
Key Features
- NVLink and multi-GPU support.
- High‑speed 400 Gbps networking
- Encrypted storage
- Global deployment
Pros
- Latest GPUs for high-end workloads.
- Pre-installed artificial intelligence frameworks for easy deployment
- Multi-region operations worldwide
- Scalable GPU
Cons
The time of response to support differs by region.
Pricing Summary
The entry plans of VyomCloud have starting prices of ₹299 per month on a small virtual GPU. Premium models with RTX 4000 and H100 graphics cards have custom prices on request.
Best For
VyomCloud meets the needs of developers, AI researchers, and content creators who require on-demand access to GPUs. It is a powerful option among users who need to scale flexibly and access the global GPUs.
5. Serverwala
Overview
Serverwala is a known hosting firm that offers enterprise-level GPU servers for AI, rendering, and data processing. Its priorities are high-speed connectivity, powerful hardware, and a secure hosting environment. The platform supports configurations of NVIDIA A100, RTX 3090, and RTX 4000 series GPUs, which are useful in training AI models on a large scale and in rendering with high performance.
Key Features
The GPU servers offered by Serverwala are set for 24/7 workloads. These are SSD-based storage, DDoS protection, and dedicated IPs. The company guarantees 99.99% uptime by providing redundant power supply and the best networking. The servers are configured with full root access, and users can have full control to set up and monitor the servers.
Pros
- Low-latency performance in global data centres
- NVIDIA GPU selection in AI and graphics tasks
- Full root access and user control
- 24/7 monitoring and high uptime reliability
Cons
- No small user monthly pay-per-use plans.
- Limited scalability for entry-level packages.
Pricing Summary
The focused plans of Serverwala start with dedicated GPU hosting based on the configuration. A100 or multi-GPU custom configurations enterprise-level cost.
Best For
Designed to support the work of those professionals who are engaged in continuous AI model training, visual rendering, and scientific calculations, and for those who require a stable performance and regular uptime regardless of the geographical location.
6. MilesWeb
Overview
MilesWeb is a hosting provider that provides cloud and dedicated servers, among others. It provides scalable and reliable servers to support AI, gaming, and rendering. MilesWeb is based on modern GPU hardware and data centres with redundant connectivity and energy-efficient infrastructures.
Key Features
The GPU servers of MilesWeb have NVMe SSD storage, customisable setups, and enterprise-level DDoS protection. The servers are compatible with a variety of operating systems. They are supported by 24/7 monitoring and are guaranteed to be up 99.95%.
Pros
- Affordable and scalable hosting
- Flexible operating system options.
- SSD storage to enhance performance.
- Secure infrastructure with constant monitoring
Cons
- Fewer GPU configuration options compared to bigger providers
- Limited advanced AI-specific tools or APIs
Pricing Summary
GPU hosting plan pricing is based on the type and configuration of the GPU. The price is clear and suitable for those who want affordable performance.
Best For
MilesWeb is appropriate for small to medium businesses, developers, and designers requiring an entry-level GPU hosting service that has a stable performance and dedicated support in India.
7. LeapSwitch
Overview
LeapSwitch provides a broad spectrum of server solutions, such as GPU servers with high-performance workloads. It concentrates on providing powerful hosting with complete control and rapid scalability. It has various Tier 3 data centres that support the strong infrastructure, which is very reliable and has low latency.
Key Features
LeapSwitch provides dedicated graphics servers with NVIDIA A40, A100, and RTX 3090. Users have the option of a single or multiple GPUs to be used in machine learning, visualisation, and scientific research activities. It also has enterprise-level security.
Pros
- Multi-region data centres to access it faster.
- Dedicated GPU servers that are root accessible.
- High-level DDoS security and backup connectivity.
- Open pricing and fast provisioning.
- Stable uptime of more than 99.9%
Cons
- No immediate deployment of complicated GPU builds.
- The control panel interface is restricted to custom tools.
Pricing Summary
The GPU plans of LeapSwitch are based on GPU models and configurations. Quotes are available for setups with A100 (₹156,000) or multi-GPU configurations for enterprise-level workloads.
Best For
LeapSwitch is ideal for organisations and developers with a consistent AI or rendering workload that needs to be controlled, stable, and have low-latency access to GPUs.
8. NetForChoice
Overview
NetForChoice offers access to the latest GPUs, such as NVIDIA A40, A100, and RTX6000, for compute-intensive workloads. The business continuity of the company is guaranteed by Tier 4 data centres and advanced cloud infrastructure.
Key Features
NetForChoice provides end-to-end, on-demand scalability, managed backups, and private cloud environments based on GPUs. It can be used for data-intensive workloads such as AI inference, machine learning, and 3D rendering. The infrastructure is made to support high-speed connections, and it is backed by qualified engineers on a 24/7 basis.
Pros
- Tier 4 certified data centres to ensure the highest uptime.
- Private and hybrid GPU hosting options
- Proactive support
- Architecture is extremely secure with encrypted backups.
- Advanced GPUs are used to do heavy computations.
Cons
- Limited international deployment locations
- Pricing details not listed publicly
Pricing Summary
Available on request
Best For
NetForChoice is an ideal choice in businesses that need a highly secure and compliant AI research, rendering, or simulation on a managed platform.
9. Net2Secure
Overview
Net2Secure provides high-performance dedicated GPU servers for heavy workloads such as AI, ML, and big data. It offers Tier-IV certified data centres and provides a 99.99% uptime guarantee. Its hosting environment integrates the modern GPUs with the Intel Xeon processors in order to deliver the performance and efficiency of the enterprise level.
Key Features
Net2Secure is offering NVIDIA GPU servers and Intel Xeon servers. Each installation will have full root access, multi-level security and 24/7 support. Servers are pre-installed with Ubuntu, CentOS, or Windows Server 2022.
Pros
- Dedicated GPU hardware and full user control
- Zero setup cost with managed installation
- Tier-IV data centres have consistent uptime
Cons
- No public plan details listed
- Custom plans may require manual configuration
Pricing Summary
The cost is determined by the configuration and model of the GPUs, and the service is based on a pay-as-you-go model to ensure that the costs are flexible.
Best For
Net2Secure is best suited when the business or developer is operating large-scale AI training, simulations, or deep-learning workloads and requires the most uptime, security, and redundancy in the data centre.
10. ServerBasket
Overview
ServerBasket provides AI, machine learning, and 3D rendering GPU servers and GPU cloud hosting. The company offers fast installation, complimentary configuration services, and delivery in India. Each server is constructed using certified parts and either NVIDIA or AMD GPUs.
Key Features
NVIDIA A100, V100, RTX A4000, and AMD Instinct GPUs are used by the servers. Its platform provides unlimited bandwidth, high-performance DDR4 RAM, and NVMe SSD storage. The company promises 99.995 percent uptime, security at the enterprise level, no-charge technical assistance, and a pay-as-you-go pricing system of cloud servers.
Pros
- Affordable GPU servers
- Premium NVIDIA and AMD GPUs to use in AI and rendering
- Certified components ensuring reliability
- 24/7 support
- Rapid and reliable delivery throughout India.
Cons
- Custom GPU configurations may take longer to deliver
Pricing Summary
ServerBasket’s on-premise GPU servers start from ₹1,46,799, while GPU cloud hosting begins at ₹3,499/month. Both of them are free to set up, have technical support, and are flexible in their configuration options.
Best For
ServerBasket suits startups, researchers, and professionals who require affordable and reliable performance of the GPU server and Indian support.
Conclusion
Any business or professional that works with AI, 3D rendering, or high-performance computing requires the use of a GPU server hosting. With robust infrastructure and dedicated GPU resources, you can scale complex workloads and get faster results without hardware constraints.
Cantech is the best of the top 10 GPU server hosting providers since it is the most reliable and has the best features. It provides dedicated GPU servers for AI and ML, and creative projects with the highest uptime and 24/7 multi-channel support. Its affordability, scalability, and tier III+ data centers make it the best option in 2025 for any individual who wants reliable GPU hosting.
When you want to host or train AI models, render 3D projects, or create data applications, Cantech GPU servers are the solution.
Are you willing to upgrade your performance?
Visit Cantech, the best GPU server hosting today.
FAQs
What are the GPU server hosting providers?
GPU server hosting providers offer GPU-powered servers to perform compute-intensive applications like AI training, machine learning, rendering, and simulations. These servers are more efficient in parallel calculations as compared to regular CPUs.
What is the best GPU server hosting provider in India?
Cantech is the best GPU server hosting provider in India. It provides high-performance hardware, affordable prices, and 24/7 support, which is suitable for use in AI and high-performance computing.
How do GPU hosting servers improve performance?
GPU servers handle multiple data operations simultaneously, accelerating AI training, rendering, and analytics. They provide increased workload throughput and efficiency in workloads that require heavy computation.
What should I consider before choosing a GPU server provider?
Verify the model of the GPU, type of storage, location of the data centre, guarantee of uptime, quality of support, and cost structure. These factors directly affect the speed, reliability, and scalability of a server.
Who needs GPU hosting the most?
GPU hosting is appropriate for developers, data scientists, researchers, animation studios, and businesses working on AI or deep-learning projects. It offers the required computing capacity for complex computations and real-time data processing.