Dedicated servers with graphics cards

Dedicated servers with graphics cards

So that the server does not limit its capabilities, it allows to solve computational problems, conduct online broadcasts, use simulation programs, engage in 3D rendering, work with neural networks, and power AI applications, you need a dedicated server with graphic GPU cards (video cards). In 2025, GPU-powered servers have become essential infrastructure for businesses ranging from AI startups to content creators and cryptocurrency miners.

What's New in GPU Servers for 2025

The GPU server landscape has evolved dramatically since 2019. NVIDIA's latest RTX 4090 and professional A100/H100 series cards now dominate the market, offering unprecedented performance for AI workloads. AMD's RDNA 3 architecture and Intel's Arc GPUs have also entered the competition, providing more options and competitive pricing. Additionally, cloud-native GPU solutions have become more accessible, with hourly pricing models starting as low as $0.50 per hour for basic configurations.

Benefits of a dedicated server from INTROSERV (Updated 2025)

INTROSERV offers dedicated GPU servers for rent (graphic cards) in data centers located in the Netherlands, with expanded availability now including GPU-enabled servers in the USA, Canada, England, Poland, France, and Germany as of 2024. The company has significantly upgraded its infrastructure to support the latest NVIDIA H100 and RTX 4090 series cards, with pricing starting from €299/month for entry-level configurations.

Infrastructure, security level, and the performance of European and American data centers continue to have advantages over domestic alternatives. The client receives a server with the latest generation equipment, uninterrupted power supply, and quick response of technical support to any force majeure. Modern data centers now feature 99.99% uptime guarantees, advanced cooling systems specifically designed for high-performance GPUs, and redundant network connections with speeds up to 10Gbps.

A data centre abroad provides enhanced business security, allowing you not to worry about potential equipment seizure, arbitrary website blocking, or legal complications that may arise in certain jurisdictions. This is particularly important for cryptocurrency operations, AI research, and international gaming services.

Therefore, if you want to maximize the security of your work and protect your business, renting a server abroad remains a strategic choice in 2025. You can process payments, transfer funds, and operate without concerns about transaction monitoring or regulatory overreach that may affect domestic operations.

Another important advantage of European and American data centers is seamless integration with global markets, enabling services like international gaming platforms, AI-as-a-Service offerings, and cross-border trading applications. With new GDPR compliance features and enhanced data protection protocols implemented in 2024, these servers meet the highest international standards.

The financial stability of foreign data centers has proven even more valuable in 2025, with many providers offering flexible payment options including cryptocurrency payments, monthly billing cycles, and transparent pricing with no hidden fees.

Features of a dedicated server with graphics cards (2025 Update)

Server with graphics cards (GPU) represents the maximum opportunity to accelerate computational workloads. While traditional CPUs now feature up to 64 cores in server configurations, modern GPUs contain over 10,000 CUDA cores. The latest NVIDIA H100 can perform AI training tasks up to 30x faster than CPU-only solutions, with memory bandwidth reaching 3TB/s.

Current GPU server specifications in 2025 typically include:

  • NVIDIA RTX 4090: 16,384 CUDA cores, 24GB GDDR6X memory
  • NVIDIA A100: 6,912 CUDA cores, up to 80GB HBM2e memory
  • NVIDIA H100: 16,896 CUDA cores, 80GB HBM3 memory
  • AMD Instinct MI300X: 19,456 stream processors, 192GB HBM3

On a server with modern video cards, you can implement complex and resource-intensive projects for the following operations:

  • Cryptocurrency mining (Bitcoin, Ethereum alternatives, and new proof-of-work coins)
  • Live streaming and content creation (4K/8K video processing)
  • 2D and 3D modeling with real-time ray tracing
  • Advanced graphic rendering and visualization
  • Game development and virtual reality applications
  • Big Data analytics and CUDA-accelerated computing
  • Machine learning and neural network training
  • Large Language Model (LLM) inference and fine-tuning
  • Computer vision and image processing
  • Scientific simulations and research computing

GPU Server Pricing Guide 2025

Current market pricing for dedicated GPU servers varies significantly based on hardware specifications:

Entry Level (GTX 1660 Ti / RTX 3060): €199-299/month
Mid-Range (RTX 4070 / RTX 4080): €399-599/month
High-End (RTX 4090): €699-999/month
Professional (A100 / H100): €1,200-2,500/month
Multi-GPU Configurations: €2,000-5,000/month

Hourly billing options are also available, starting from €0.35/hour for basic configurations, making it cost-effective for short-term projects or testing environments.

Best Practices for GPU Server Selection in 2025

When choosing a GPU server configuration, consider these factors:

  • Workload Requirements: AI training requires high memory bandwidth (H100/A100), while gaming/streaming benefits from RTX series cards
  • Scalability: Look for providers offering easy GPU upgrades and multi-GPU configurations
  • Network Performance: Ensure minimum 1Gbps connectivity for real-time applications
  • Cooling Solutions: Verify that data centers have adequate cooling for sustained high-performance workloads
  • Support Level: 24/7 technical support is essential for mission-critical applications

Technical support

An important point when renting a dedicated server is the level of technical support provided by the hosting provider. INTROSERV has expanded its support team in 2025 to include AI/ML specialists and GPU optimization experts. Support is available 24/7 through multiple channels including live chat, phone, and ticket systems, with average response times under 15 minutes for critical issues.

The technical team can assist with GPU driver installations, CUDA toolkit setup, machine learning framework configuration, and performance optimization. Additionally, managed services are available for clients who prefer hands-off server management, including automated backups, security updates, and performance monitoring.

With the rapid evolution of GPU technology and AI applications, having expert technical support has become more crucial than ever. INTROSERV's support team stays current with the latest developments in GPU computing, ensuring clients can leverage cutting-edge capabilities for their specific use cases.