Dedicated Server with GPU for AI, Rendering & Gaming

Deploy high-performance GPU dedicated servers optimized for AI training, machine learning, 3D rendering, and high-end gaming. Our dedicated GPU server hosting delivers enterprise-grade NVIDIA GPUs, instant deployment.

Our GPU dedicated servers are ideal as AI dedicated servers and machine learning servers for modern data-driven workloads.


✅ Full root control  

✅ Instant GPU server deployment  

✅ Flexible configurations  

✅ NVIDIA RTX & AMD GPU options  

✅ Secure infrastructure  

✅ 24/7 expert support

GPU Dedicated Servers

GPU Dedicated Servers Listing

Explore our GPU Dedicated Servers, designed for high-performance computing tasks such as AI, machine learning, and data analysis. Get powerful, reliable servers with top-tier GPUs for optimal performance.


If you need a standard server without GPU, check our Buy Dedicated Server options. Choose your region from our Dedicated Server Locations.


Location
Price
355 $ 723 $
CPU Type
RAM
0
Storage Type
Storage
480 GB 1024 GB

Price from 355$ to 723$ \ Storage from 480GB to 1024GB

Netherlands

NameCPURAMStorageTraffic/PortPriceAction
DGS i9-9900K_1080Ti1xIntel i9-9900K(8cores/3.6GHz)64 GB480GB SSDUpto 50TB/1Gbits310.00$ / Monthly Order Now
DGS Ryzen 7950x_RTX 4090 24GBRyzen 7950X (16cores/4.5GHz)128 GB1TB NVMeUpto 50TB/1Gbits637.00$ / Monthly Order Now
DGS Ryzen 5950x_RTX 3090 24GBRyzen 5950X (16cores/3.4GHz)128 GB1TB NVMeUpto 50TB/1Gbits399.00$ / Monthly Order Now
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What Is a Dedicated GPU Server?

A dedicated GPU server is a physical dedicated server equipped with one or more high-performance GPUs such as NVIDIA RTX 4090, A100, or H100. Unlike shared GPU hosting, a GPU dedicated server provides full access to CPU, RAM, storage, and GPU resources without contention.


This makes dedicated servers with GPU ideal for AI engineers, game developers, rendering studios, and data scientists who need consistent performance and scalability.


GPU Dedicated Servers

Why 1Gbits GPU Dedicated servers?

At 1Gbits, we understand the critical importance of selecting the right infrastructure to power your business operations. Here are 6 compelling reasons why businesses and researchers trust us for their GPU dedicated server hosting needs:

Global Data Centers

Our strategically located data centers ensure low-latency connectivity worldwide, enabling smooth and efficient performance regardless of geographical location. This global presence supports seamless user experiences and optimized data processing capabilities.


Flexible Billing Options

We offer transparent GPU dedicated server pricing with flexible billing cycles and customizable service packages tailored to your specific budget and operational needs. Our cheap dedicated server with GPU allows you to scale resources efficiently and manage costs effectively. Compare configurations on our Dedicated Server Pricing page.


Reliability and Uptime

We guarantee high uptime with redundant power supplies and network infrastructure for dedicated server GPU. Proactive monitoring and expert support ensure minimal downtime, keeping your operations running smoothly without interruption.

Expert Support 24/7

Our dedicated support team is available round-the-clock to provide technical assistance, optimize server performance, and address any queries or concerns promptly. You can rely on our expertise to ensure your GPU infrastructure operates at peak efficiency.


Compliance and Security

Adhering to GDPR, we prioritize data security with robust measures in place to protect against unauthorized access and breaches. Your data's confidentiality and integrity are safeguarded through comprehensive physical and cyber security protocols.


Proven Track Record

With a proven track record of delivering reliable, high-performance GPU dedicated servers, we have earned the trust of businesses across industries. From startups to enterprises, our solutions empower organizations to achieve their goals with confidence.


Applications and Use Cases for GPU Servers

From artificial intelligence to multimedia processing, GPU dedicated servers power today’s most compute-intensive industries. Here are the most common applications:


AI & Deep Learning

GPU acceleration dramatically speeds up AI model training and inference, making it the preferred infrastructure for machine learning frameworks like TensorFlow and PyTorch.


Data Analytics & Big Data Processing

Process large datasets in real-time and execute complex analytical models faster than CPU-only systems.


Scientific Simulations & Research

From molecular modeling to climate simulations, scientists rely on GPU hosting to perform massive simulations with high precision.


3D Rendering & Video Encoding

Studios and content creators use dedicated GPU servers for rendering animation, visual effects, and high-resolution video production.


Virtual Desktop Infrastructure (VDI)

Deliver GPU-powered remote desktops for engineering, CAD, and design workloads. Need virtualization? Try our VMware Dedicated Server solutions.


Gaming

For multiplayer hosting, explore our Game Dedicated Server solutions. We also offer Game Dedicated Servers including Astroneer, ARK, V Rising, Satisfactory, and Project Zomboid dedicated server hosting.

Features of 1Gbits's GPU Dedicated Servers

Experience unparalleled performance with 1Gbits' GPU dedicated server hosting. Engineered to excel in AI workloads like image recognition and data analysis, our servers are optimized for speed, efficiency, and scalability. Dedicated Server GPU provides the computational power you need to drive innovation and growth.

01

Unmatched Performance

 Our GPU servers are built to handle intensive AI workloads, delivering exceptional computing power optimized for tasks like image recognition, natural language processing, and complex data analysis.

03

Scalability

Easily scale your resources as your AI projects grow. From startups to enterprises, our servers offer flexibility to accommodate increasing computational demands.


05

Enhanced Security

Your data's security is our priority. With GDPR-compliant practices and robust physical and cyber security measures, rest assured your information is safe with us.


02

Energy Efficiency

Designed with energy-efficient components, our servers minimize power consumption while maximizing performance, helping you reduce operational costs without compromising on speed.


04

Dedicated Resources

Enjoy exclusive access to GPU resources. A dedicated server with GPU ensures consistent performance and eliminates resource contention common in shared environments.


06

Expert Support

Need assistance? Our dedicated support team is available 24/7 to help you set up, optimize, and troubleshoot your server, ensuring smooth operation at all times.


GPU Dedicated Server Hosting FAQs

Here are the most common questions about GPU dedicated server hosting we get from our customers, Hence we elaborated our FAQ to ensure you find answers as quickly as possible.

What are the benefits of a GPU dedicated server?

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The main benefits of dedicated server GPU include

  • enhanced performance for AI and machine learning tasks.
  • Energy efficiency and cost-effectiveness compared to traditional computing solutions.
  • Scalability to handle increasing workloads without compromising performance.


What are the drawbacks of a GPU dedicated server?

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Dedicated server with GPU has higher initial costs compared to standard servers. Also it requires expertise in GPU optimization for maximum efficiency.

Which GPU models do you offer?

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We offer dedicated server with NVIDIA GPU, AMD Radeon Instinct™ Series, and customizable configurations based on your specific requirements.

How can I ensure my software is compatible with your GPUs?

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Our support team assists in verifying software compatibility and provides guidance on optimization for GPU dedicated server hosting tasks.

Do you offer pre-installed software for specific applications?

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Yes, we provide options for pre-installed software environments tailored for AI dedicated servers, machine learning frameworks, and scientific computing.

How do I optimize my applications to utilize the GPU?

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Our experts offer guidance and best practices for optimizing applications to leverage GPU acceleration effectively, ensuring maximum performance gains.

How to choose a GPU dedicated server?

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Consider your specific workload requirements, including computational intensity, data volume, and scalability needs, to select the ideal GPU configuration and server specifications.

Dedicated server vs GPU dedicated serve

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Standard dedicated servers offer versatility but lack the optimized performance for AI and intensive computing tasks that dedicated server GPU provides. Choose based on your application’s demands for computing power and efficiency, and dedicated server pricing.

What payment methods do you accept for GPU servers?

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We accept a variety of payment methods for GPU servers, including credit cards, PayPal, and cryptocurrencies like Bitcoin. For more details on how to pay with crypto, please visit our pages on dedicated servers with crypto and dedicated servers with Bitcoin. We also support USDT dedicated server payments.


How does GPU hosting work?

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GPU hosting provides remote access to a high-performance server equipped with one or more GPUs. You deploy your workloads (AI, rendering, analytics, etc.) and leverage GPU acceleration for faster compute output.


What is the main difference between GPU and CPU?

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 CPUs handle sequential tasks efficiently, while GPUs are designed for parallel processing — making them significantly faster for machine learning, rendering, and large-scale calculations.

What operating systems does GPU dedicated hosting support?

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We support Linux Dedicated Server and Windows Dedicated Server environments. Custom OS installations are available on request.

Which processors are available with your GPU servers?

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 Depending on configuration, servers may include AMD Ryzen™, Intel Xeon®, or EPYC processors to complement the GPU performance.


Will my GPU server be set up instantly?

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 Most configurations are provisioned automatically and delivered within minutes. Custom builds may require additional setup time.

How do I choose the right GPU instance for my needs?

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 If you’re training AI models or rendering large files, an RTX 3090 / 4090 is ideal. For simulations or virtualization, AMD GPUs or multi-GPU setups may be more suitable.


Do I need technical skills to use GPU hosting?

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 Basic server management knowledge helps, but our support team can assist with OS setup, drivers, and initial configuration.


What support and infrastructure does 1Gbits provide for GPU server customers?

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We provide data center-grade power redundancy, DDoS protection, high-speed connectivity, and 24/7 technical support across all GPU dedicated servers.


What Is the Best GPU Dedicated Server for AI?

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The best GPU dedicated server depends on workload size. RTX 4090 servers are ideal for small to mid-size AI training, while A100 and H100 servers are recommended for enterprise deep learning and large-scale machine learning tasks.

What GPU is best for machine learning?

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For small to mid-size machine learning workloads, RTX 4090 dedicated servers offer excellent price-to-performance. For large-scale training, A100 and H100 GPU dedicated servers are recommended.


Check For More FAQs

GPU Dedicated Server Buying Guide: Specs, Setup, and Best Practices

A GPU dedicated server is only as powerful as the configuration behind it. Use the guide below to choose the right dedicated server with GPU for your workload, set it up correctly, and get consistent performance in production.


How to Choose the Right GPU Dedicated Server (Quick Checklist)

Use this checklist to select the best dedicated server GPU configuration:

  • Workload type: training, inference, rendering, VDI, or gaming
  • VRAM requirement: larger models and 4K/8K renders need more VRAM
  • CPU support: data preprocessing and encoding can be CPU-heavy
  • RAM capacity: avoid bottlenecks when feeding data to the GPU
  • Storage: NVMe SSD for fast dataset loading and caching
  • Network: low latency for remote workflows and real-time collaboration
  • OS choice: Linux for ML stacks, Windows for certain VDI and tools
  • Management level: managed vs unmanaged dedicated GPU hosting


Recommended Configurations by Use Case

Below are common dedicated GPU hosting scenarios and what typically matters most:

AI Training (Deep Learning)

  • Prioritize: GPU VRAM, NVMe storage, RAM
  • Best for: large datasets, transformer training, computer vision pipelines

AI Inference / Production Serving

  • Prioritize: stable performance, network, reliability
  • Best for: APIs, real-time inference, batch prediction

3D Rendering & Video Encoding

  • Prioritize: GPU power, CPU cores, fast storage
  • Best for: Blender, Unreal workflows, VFX, 4K/8K pipelines

VDI / Remote Workstations

  • Prioritize: network latency, virtualization readiness, OS compatibility
  • Best for: CAD, engineering, design teams, remote GPU desktops

Gaming & Game Servers

  • Prioritize: CPU clock, latency, stability
  • If your project needs gaming infrastructure, explore dedicated servers built for multiplayer hosting.


Dedicated Servers with GPU vs Cloud GPU (When Dedicated Wins)

GPU dedicated servers are often the better option when you need:

  • Predictable monthly pricing (no surprise usage bills)
  • Full hardware control (no noisy neighbors)
  • Consistent throughput for long training jobs
  • Custom configurations for specialized pipelines
  • Long-running workloads where cloud costs add up over time


Setup Guide (First 30 Minutes After Delivery)

Once your dedicated GPU server is provisioned, here’s a practical setup flow:

  1. Verify OS and access (SSH/RDP depending on Linux/Windows)
  2. Install GPU drivers (NVIDIA/AMD based on your plan)
  3. Install CUDA toolkit (for NVIDIA ML workloads)
  4. Validate GPU availability (e.g., confirm GPU is detected and healthy)
  5. Install frameworks (PyTorch, TensorFlow, ONNX Runtime)
  6. Enable monitoring (GPU utilization, thermals, memory, disk I/O)
  7. Harden security (keys, firewall rules, least-privilege access)

Tip: If you want full control and you manage everything yourself, choose an unmanaged dedicated server option.


Performance Tips for Dedicated GPU Server Hosting

To get the most out of your GPU dedicated server:

  • Store datasets on NVMe SSD to prevent I/O bottlenecks
  • Use Docker to keep ML environments reproducible
  • For training jobs, tune:
  • batch size
  • mixed precision (when supported)
  • dataloader workers
  • Keep driver + CUDA versions aligned with your framework builds
  • Use separate volumes for datasets, checkpoints, and logs


Security, Compliance, and Reliability

Our dedicated GPU servers are designed for production workloads where uptime and safety matter:

  • Physical and network security at the data center level
  • DDoS protection and stable routing for critical services
  • Access control with root/admin permissions
  • GDPR-aligned practices for data handling and privacy


Looking for the Best Deal on Dedicated GPU Servers?

If you’re flexible on hardware or want discounted inventory, check our limited deals and availability: Dedicated Server Outlet


GPU Performance Benchmarks and Recommendations


Choosing the right GPU dedicated server depends on your workload size, model complexity, and performance expectations. Here is a quick benchmark overview to help you decide:


  1. RTX 4090 Dedicated Server → Up to 2× faster than RTX 3090 for AI training and rendering workloads  
  2. NVIDIA A100 Dedicated Server → Optimized for enterprise deep learning, large datasets, and multi-GPU scaling  
  3. NVIDIA H100 Dedicated Server → Best choice for large-scale AI model training, LLM workloads, and high-performance computing  


For most startups and mid-size machine learning projects, RTX 4090 dedicated GPU servers offer the best price-to-performance ratio.  

For enterprise AI, big data analytics, and large-scale training pipelines, A100 or H100 GPU dedicated servers are recommended.


1Gbits Customer Reviews

The best proof of a great customer experience is your honest review. Want yours to appear here too? Go ahead and write one on the client's dashboard!

Margo KElena S
The performance boost on my deep learning models was massive. Setup was quick, and support helped me install CUDA instantly."
Margo KMichael R
We switched our rendering pipeline to a GPU dedicated server from 1Gbits and cut processing time by more than half. Highly reliable service.