Powerful GPU Hosting For A.I, ML
Max out your models with NCXHost dedicated GPU hosting .
50% Cheaper than AWS, 2x the Power!
High-performance GPU hosting with NVIDIA RTX 4090, A5000, A6000, H100, and more, providing unmatched power for AI, ML, deep learning, rendering, and gaming. Our NVMe Gen5 SSDs ensure ultra-fast data access, minimizing bottlenecks.
Explore Our Comprehensive plans
Self Managed
NVIDIA RTX 3090
₹30,999/m
$349.00/m
- 24 GB VRAM (GPU)
- AMD Ryzen 7
- 96 GB RAM
- 2TB Gen5 NVMe SSD
- Dedicated IP address
- Unlimited Bandwidth
Self Managed
NVIDIA RTX 4090
₹44,299/m
$499.00/m
- 24 GB VRAM (GPU)
- AMD Ryzen 9
- 128 GB RAM
- 2TB Gen5 NVMe SSD
- Dedicated IP address
- Unlimited Bandwidth
Fully Managed
NVIDIA RTX 3090
₹46,899/m
$529.00/m
- 24 GB VRAM (GPU)
- AMD Ryzen 7
- 64 GB RAM
- 2TB Gen5 NVMe SSD
- Dedicated IP address
- Unlimited Bandwidth
Fully Managed
NVIDIA RTX 4090
₹57,549/m
$649.00/m
- 24 GB VRAM (GPU)
- AMD Ryzen 9
- 128 GB RAM
- 4TB Gen5 NVMe SSD
- Dedicated IP address
- Unlimited Bandwidth
 A fair price without renewal gimmicks
NCXHOST offers a simple, predictable hosting pricing structure without any hidden or unexpected fees when renewing hosting plans.
High-Performance GPU Servers for Every Workload
Train your AI models, host gaming servers, power AI-driven apps, run deep learning, 3D rendering, and data-intensive simulations—all on NCXHost’s high-performance GPU servers. Get access to NVIDIA RTX 4090, A5000, A6000, H100, and more, backed by ultra-fast NVMe Gen5 SSDs for seamless performance. Whether you’re an AI researcher, game developer, or cloud computing enthusiast, experience top-tier GPU power at up to 50% lower cost than AWS & Google Cloud, with instant deployment and 24/7 expert support.
Machine Learning
Train models faster and more efficiently with GPU acceleration, accelerating your machine learning workflows.
Rendering
Achieve stunning visualizations with accelerated rendering, ideal for industries such as animation, architecture, and design.
Scientific Computing
Accelerate scientific simulations and computations, empowering researchers and scientists with faster results.
AI-Ready Hardware
Quickly launch your AI instances with just one click, streamlining your development process and accelerating innovation.
Free website migration, fully managed by Us
Switching hosting providers shouldn’t be a hassle. At NCXHost, we make it seamless and stress-free! Our expert team will handle the entire migration process for you at no extra cost—ensuring zero downtime and a smooth transition.
Managed Hosting
24*7 Monitoring
Focus on your business while we handle your hosting! At NCXHost, our fully managed hosting ensures your website runs smoothly, securely, and at peak performance—without you lifting a finger.
Train massive models, faster.
Use 100% of the machine—no hypervisor tax, no time-sliced or fractional GPUs—just raw dedicated performance.
Custom Camera​
Consistent, high-performance compute.
Single-tenant hardware gives predictable throughput and stronger isolation—no noisy neighbors or shared bottlenecks.
Custom Camera​
Built for complex workloads.
Pair CPUs and GPUs for the best of both: GPUs handle heavy parallel math and inference while CPUs manage preprocessing, orchestration, and I/O efficiently.
Custom Camera​
+9170990 64541
24/7 expert support
Get instant access to our dedicated support team, available 24/7 to help you resolve any issues or answer your questions.
FAQ
Our GPU servers are ideal for AI/ML model training and inference, Stable Diffusion, video rendering, scientific computing, data analytics, and any workload that benefits from massive parallel processing.
We currently provide NVIDIA RTX-series GPUs such as the RTX 3090, with 24 GB of VRAM. Additional models may be added based on demand and availability.
Yes. Our GPU servers support modern CUDA toolkits and are fully compatible with frameworks like PyTorch and TensorFlow. You can install them directly or request a preconfigured environment.
Our GPU hosting plans provide dedicated access to the GPU hardware in your plan. This ensures consistent performance and predictable runtimes for your workloads.
Yes. You can run multiple Docker containers or processes on the same GPU server, as long as you manage VRAM and compute usage appropriately.
Yes. You can start with a single GPU and move to higher-end or multiple GPUs later. Our team can help you choose the right configuration when you’re ready to scale.
Absolutely. Many startups use our GPU servers as a cost-effective alternative to expensive public clouds. You pay a predictable monthly price without surprise overage bills.
GPU servers run in our secure data center environment with network firewalls, access controls, and isolation between customers. You can further harden security with your own OS-level firewall, SSH key access, and encryption.