NVIDIA GPU Servers: The Full Lineup, One Trusted Provider

From entry-level inference to multi-GPU training clusters, every NVIDIA GPU tier under one roof.

Packages & Pricing

Choose Your NVIDIA GPU Server Plan — For Every Workload, Every Budget.

NVIDIA A2

Entry-level virtual GPU for lightweight AI and graphics workloads.

RS. 39,000/month

NVIDIA RTX A5000

Balanced vGPU for professional graphics and mid-size AI workloads.

Rs. 49,600/month

NVIDIA RTX 4090

High-performance vGPU for rendering, gaming, and creative workloads.

Rs. 1,04,000/month

NVIDIA L40S

Optimized for LLM inference and high-performance computing.

RS. 1,58,000/month

NVIDIA RTX 6000 Ada

Premium vGPU for demanding AI and visualization workloads.

Rs. 2,67,600/month

NVIDIA RTX Pro 6000

Top-tier vGPU for the most demanding AI and graphics pipelines.

Rs. 2,00,000/month

1x A100

Single A100 GPU for large-scale AI training and inference.

2x A100

Dual A100 configuration for larger models and heavier throughput.

1x H100

Single H100 GPU for cutting-edge AI training and inference.

2x H100

Dual H100 configuration for larger model training runs.

4x H100

Quad H100 cluster for heavy multi-GPU training workloads.

8x H100

Full 8-GPU H100 cluster for enterprise-scale AI training.

1x H200

Single H200 GPU for the latest generation of AI workloads.

2x H200

Dual H200 configuration for large, memory-hungry models.

4x H200

Quad H200 cluster for large-scale training and inference.

8x H200

Full 8-GPU H200 cluster for the most demanding AI workloads.

All plans include: 1 Gbps network, Linux platform, 24/7 support, and full root access. Multi-GPU cluster plans (marked “Contact Us”) are custom-quoted based on duration and availability.

Why Choose Our NVIDIA GPU Servers

One provider, the full range of NVIDIA hardware — pick exactly what your workload needs.

High parallel processing power with thousands of CUDA cores

Tensor Core support for accelerated AI training & inference

Scalable multi-GPU architecture with NVLink/PCIe support

Pre-optimized for TensorFlow, PyTorch & other ML frameworks

Expert Support You Can Rely On

Pre-optimized for TensorFlow, PyTorch & other ML frameworks

GPU selection guidance based on your workload
Server provisioning & initial setup support
Driver & framework configuration guidance
Continuous infrastructure monitoring
Continuous infrastructure monitoring

Key Benefits

One catalog of NVIDIA hardware, so you’re never stuck choosing between providers as your needs change.

A single provider for every GPU tier you'll ever need

Predictable pricing, no usage-based surprises

Full root access with custom configuration

Secure single-tenant compute environment

Easy upgrade path as workloads scale

What Can You Run on an NVIDIA GPU Server

NVIDIA GPU servers power some of the most demanding workloads across industries.

AI, Machine Learning & Deep Learning

· Train models faster and deploy predictions with lower latency

Data Science & Big Data Analytics

· Process massive datasets without the slowdowns of CPU-only systems

Graphics, Rendering & Gaming

· Produce high-quality 3D visuals and test high-end games in the cloud

Scientific Computing & Healthcare

·Run simulations and analyze medical imaging with AI-assisted speed

Why NVIDIA GPU Hosting with Site2Host.com?

The full range of NVIDIA hardware, competitive pricing, and real support behind every plan.

Latest-generation NVIDIA GPUs across every tier

Full root access with custom configuration

Fast deployment — up and running in 24-48 hours

Competitive, transparent pricing

Scalable resources as your project grows

Need a custom NVIDIA GPU configuration?

Our experts are ready to assist with setup, scaling, and optimization.

SMALL BUSINESS HOSTING Testimonial

Client Feedback & Reviews

"Site2Host's Windows Dedicated Server has been the perfect platform for our business applications. The performance is excellent, and the server has remained stable even during peak workloads."

Amit VermaIT Director

"We required a dedicated Windows environment for hosting our ERP and database applications. Site2Host provided a reliable, secure server with outstanding technical support throughout the setup."

Neha JoshiOperations Manager

"The combination of dedicated hardware, fast SSD performance, and full administrative access has made managing our Windows-based applications much easier. Highly recommended for growing businesses."

Rohit MalhotraInfrastructure Lead

"Our migration to Site2Host's Windows Dedicated Server was smooth and hassle-free. The server delivers consistent performance, excellent uptime, and the support team is always quick to respond."

Pooja SharmaTechnology Consultant

FAQs of NVIDIA GPU Server

What is an NVIDIA GPU server?

An NVIDIA GPU server is a computer system built with one or more NVIDIA graphics cards, used for heavy tasks like AI, deep learning, 3D design, or big data work — significantly faster than a regular CPU-only server.

Are NVIDIA GPU servers suitable for deep learning model training?

Yes. Deep learning models need substantial computing power, and NVIDIA GPU servers significantly reduce training time, which is why they're widely used by researchers, startups, and AI developers.

How do I choose the right NVIDIA GPU server?

It depends on your budget and workload requirements — memory, storage, and processing needs all factor in. Our team can help you match a plan to your specific application.

What's the difference between NVIDIA GPU Cloud and traditional cloud services?

NVIDIA GPU Cloud offers the fast, parallel computing capabilities of a GPU, suited to AI, deep learning, and other demanding applications. Traditional cloud services focus on CPU-based resources, which can't match the speed or efficiency for these workloads.

Can I run multiple applications on an NVIDIA virtual GPU?

Yes. An NVIDIA virtual GPU can run multiple applications simultaneously, with each application getting access to its allocated share of GPU power.

How many GPUs can be added to a server?

Our top-tier plans support up to 4 GPUs per server, and larger multi-GPU cluster configurations (up to 8x) are available on custom quote.

Can I customize the hardware configuration?

Yes. We offer custom configuration options — reach out to discuss your specific application requirements and we'll help build the right setup.

What happens if my GPU server experiences a hardware failure?

Our team monitors servers around the clock and intervenes immediately to prevent hardware issues from interrupting your operations, with fast replacement and repair when needed.