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V100 GPU Servers: Proven Power for AI & HPC

NVIDIA Volta-architecture GPU built for deep learning, simulations, and data-intensive workloads.

  • NVIDIA Volta architecture with Tensor Cores.
  • Up to 32 GB HBM2 memory.
  • Scalable, customizable configurations.
  • 24/7 expert support & robust security.

Packages

The Perfect V100 GPU Server Plan — For AI Training, HPC & Data Analytics.

NVIDIA V100

Volta-architecture GPU built for AI training, HPC, and data-intensive workloads.
Rs.49,600/month
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  • 32 GB HBM2 Memory
  • 5,120 CUDA Cores
  • 640 Tensor Cores
  • 10 TB Bandwidth
  • 1 Gbps Network
  • Linux Platform

Includes: dedicated resources, 24/7 support, and full root access. Contact our team for current V100 pricing and configuration options.

Why Choose Our V100 GPU Servers

Built for teams running proven, established AI and HPC workloads on a well-tested architecture.

NVIDIA Volta architecture with Tensor Core acceleration
Up to 32 GB HBM2 memory for large datasets
Advanced parallel processing for multitasking workloads
Fully customizable configurations
99.97% uptime guarantee
24/7 expert support

Expert Support You Can Rely On

Reliable, round-the-clock support you can trust. Our V100 GPU Servers deliver performance, security, and full control — without the setup complexity.

  • GPU provisioning & initial setup support
  • Server uptime & infrastructure monitoring
  • Framework configuration guidance (TensorFlow, PyTorch, CUDA)
  • Full root shell with an easy-to-use control panel
  • Responsive support via email, live chat & tickets

Key Benefits

Hosting that keeps your AI training and analytics workloads running without interruption.

High memory bandwidth for large-dataset processing
No minimum contract length — available on-demand
Predictable pricing, no usage-based surprises
Secure single-tenant compute environment
Easy to scale as your project grows

What Can You Run on a V100 GPU Server

V100 servers are well suited to established deep learning and scientific computing workloads.

Deep Learning & AI Training

·Train complex neural networks with low latency, high throughput

Data Analytics & Processing

· Real-time processing of massive datasets for business insights

Scientific Simulations

· Run numerical simulations in physics, chemistry & biology

Rendering & Visual Effects

·Render high-fidelity graphics and VFX at scale

Why V100 Hosting with Site2Host.com?

Proven, reliable GPU architecture with full customization and dedicated support.

NVIDIA Volta architecture with Tensor Core technology
Full root access with custom configuration
No minimum contract length
24/7 expert support
Transparent pricing with no hidden fees

Need help deciding if the V100 fits your workload?

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

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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 V100 GPU Server

V100 servers are well suited to deep learning training, data analytics, scientific simulations, and rendering/VFX work that benefits from high memory bandwidth and Tensor Core acceleration.

The V100 uses the older Volta architecture and offers less raw performance and memory than the A100 or H100, but remains a capable, cost-effective option for established workloads that don't need the latest hardware.

Yes. You can choose GPU count, CPU specification, memory, and storage capacity to match your workload and budget.

No specific software is required, but frameworks like TensorFlow, PyTorch, and CUDA are commonly used to take full advantage of the V100's GPU acceleration.

Yes. V100 servers support parallel processing, so you can run multiple workloads — such as model training and data analytics — simultaneously without performance degradation.

No. V100 GPU servers are available on-demand, with both short-term and long-term options depending on your needs.

Deployment time depends on your configuration, but most V100 servers are up and running in under an hour after your order is placed.