GPU Dedicated Server Rental in the Netherlands
Rent a GPU dedicated server in the Netherlands for LLM inference, AI development, deep learning and 3D rendering. Compare NVIDIA A100 80GB, A40, RTX 6000 Ada, RTX A4000 and RTX 3090 configurations below. Each plan lists the GPU, CPU, RAM, storage and monthly price so you can choose around your workload and GPU memory requirements. Select Order Now to check the current configuration, operating system options and checkout price, or ask our team to help match a server to your project.
GPU Dedicated Servers
2x A100 80GB
2x Intel Xeon Gold 6326 2.40GHz
256GB RAM
960GB NVMe
1Gbps Unlimited Bandwidth
Price $1,498 USD Monthly
2x NVIDIA RTX 6000 Ada Lovelace
1x Xeon Silver 4410T 2.7GHz Max 4.0GHz
1x 10 Cores (20 threads)
128GB DDR5 4800MHz
1TB S4620 Intel SSD
Price $897 Monthly
2x NVIDIA A40
2x Xeon Gold 6326 2.90GHz
(2x 16 Cores/32 Threads)
128GB DDR4
960GB NVMe (Configurable)
Price $799 Monthly
1x GEFORCE RTX 3090
1x Xeon Silver 4210R 2.4GHz
(10 Cores/20 Threads)
64GB DDR4
960GB SSD Intel S4610
Price $399 Monthly
1x RTX A4000
1x Xeon Silver 4114 2.2GHz
(10 Cores/20 Threads)
32GB DDR4
960GB SSD Intel S4620
Price $199 Monthly
1x NVIDIA RTX 6000 Ada Lovelace
1x Xeon Silver 4410T 2.7GHz Max 4.0GHz
1x 10 Cores (20 threads)
128GB DDR5 4800MHz
1TB S4620 Intel SSD
Price $599 Monthly
More GPU Servers
Need help choosing a GPU dedicated server?
Tell us which application you plan to run, your GPU memory requirements, storage needs and monthly budget. We can help you compare the listed Netherlands configurations and confirm availability, operating system options and the final quote before you order.
NVIDIA A100 80GB Servers and GPU Selection Guide
Compare the A100 80GB configurations above when GPU memory is a priority for your AI workload. Choose between the listed single-GPU and dual-GPU plans, then review CPU, system RAM, storage and bandwidth on the order page.
How to choose a GPU dedicated server
- AI inference and fine-tuning: start with the memory needed by your model, context length and concurrent requests. Leave room for runtime overhead rather than choosing from model size alone.
- Multi-GPU workloads: check that your framework can distribute the workload across the selected GPUs. Two GPUs do not automatically behave as one combined memory pool.
- Rendering and image generation: check your renderer or application requirements, scene size and GPU memory before comparing monthly plans.
- Complete server configuration: compare system RAM, CPU, disk capacity and network limits as well as the GPU. Review operating system and licensing options before ordering.
GPU server guides for your workload
Read our GPU server selection guide for AI developers, explore GPU servers for Stable Diffusion, or compare RTX PRO 6000 Blackwell server options. For A100 research, see our H100 versus A100 workload comparison; available rental configurations are listed on this page.
For help choosing, send us your application, required GPU memory, storage needs and budget. Confirm current availability and the final configuration before placing an order.
NVIDIA A40 GPU Dedicated Servers for AI and Rendering
Experience the power of NVIDIA RTX A40 GPU with Helloserver.tech’s dedicated server rentals. Perfect for high-performance computing, AI training, and complex simulations, our RTX A40 GPU servers deliver exceptional performance and flexibility tailored to your needs.
Why Rent NVIDIA RTX A40 GPU Servers from Helloserver.tech?
- Outstanding Performance: Featuring 48 GB of GDDR6 ECC memory, 10,752 CUDA cores, and 336 Tensor Cores, the RTX A40 delivers top-tier performance for AI training, data analysis, and real-time rendering. PCIe Gen 4 support ensures faster data transfer speeds.
- AI and Deep Learning Capabilities: Accelerate machine learning and neural network training with advanced Tensor Cores. Real-time ray tracing provides accurate light and shadow simulations, ideal for various professional applications.
- Virtualization and Scalability: With NVIDIA Virtual GPU (vGPU) software, run multiple virtual workstations on a single GPU. Scale your GPU resources efficiently, reducing costs and optimizing resource utilization.
Use Cases for NVIDIA RTX A40 GPU Rental
- High-Performance Computing (HPC): Perfect for weather forecasting, molecular dynamics, and financial modeling, offering precise simulation and analysis with high memory bandwidth.
- GPU Server for Deep Learning, AI and Machine Learning: Speed up AI model training and computer vision tasks with the RTX A40’s deep learning capabilities.
- Virtualization and Remote Workstations: Deploy high-performance virtual workstations for remote professionals, ideal for media, healthcare, and engineering industries.
Why Choose Helloserver.tech for GPU Rentals?
- High Availability: 99.9% uptime for uninterrupted project performance.
- Scalable Solutions: Adjust GPU resources to meet your workload requirements.
- Expert Support: 24/7 assistance with setup, maintenance, and troubleshooting.
Boost Your Workloads with NVIDIA RTX A40 GPU on Helloserver.tech
Rent NVIDIA RTX A40 GPU-dedicated servers for unmatched performance in AI, simulations, and virtual workstations. Choose Helloserver.tech for reliable and tailored GPU rental solutions.
NVIDIA RTX A4000: A Versatile GPU for Professionals
The NVIDIA RTX A4000 is a high-performance graphics card tailored for professionals in industries like design, AI development, and data analysis. Built on the advanced Ampere architecture, the RTX A4000 strikes an excellent balance between power and efficiency, making it a reliable choice for workstations requiring robust graphical performance.
Key Features:
- Performance: The RTX A4000 comes with 6144 CUDA cores and a base clock speed of 735 MHz, ensuring smooth handling of demanding tasks such as 3D rendering, simulations, and large-scale data processing.
- Memory: Featuring 16 GB of GDDR6 memory, this GPU offers the capacity needed for complex workflows, including high-resolution video editing and data-intensive AI applications.
- Ray Tracing and AI: With 48 RT cores and 192 Tensor cores, the RTX A4000 delivers exceptional real-time ray tracing and AI capabilities, making it ideal for tasks that require precise visualizations and accelerated computations.
- Compact Design: Unlike many high-end GPUs, the RTX A4000 is designed with a single-slot form factor, making it suitable for a wider range of workstations without sacrificing performance or cooling efficiency.
Use Cases:
- 3D Design and Animation: The RTX A4000’s powerful ray tracing and high memory capacity make it perfect for 3D artists and animators who need fast, real-time rendering for complex scenes.
- AI and Data Science: Equipped with ample CUDA and Tensor cores, this GPU is well-suited for machine learning and AI model training, allowing for quicker iterations and more efficient processing of large datasets.
- Video Editing and Visual Effects: For video editors working with 4K or higher resolutions, the RTX A4000 provides the necessary power for real-time playback and rendering, enhancing productivity in content creation workflows.
The NVIDIA RTX A4000 stands out as a versatile and efficient GPU for professionals who need reliable performance for various high-demand applications. Its combination of advanced features, ample memory, and compact design make it an excellent choice for those looking to optimize their workstation’s capabilities without compromise.
NVIDIA RTX 3090: High-Performance GPU Computing for AI and ML
The listed RTX 3090 configuration provides 24GB of GPU memory. Compare it for AI development, image generation and rendering workloads that fit within that capacity, then review the CPU, system RAM and storage included with the server.
Before choosing an RTX 3090 server
- Check your application and driver compatibility, including the CUDA version or rendering backend you require.
- Estimate memory use for your model, batch size or scene and leave capacity for application overhead.
- Compare the full monthly configuration with the A4000, A40, RTX 6000 Ada and A100 plans above rather than selecting on GPU name alone.
Open the RTX 3090 order page in the plans section for current pricing and available options. If your workload needs more GPU memory, ask our team to compare suitable configurations.
Frequently Asked Questions
What is a GPU dedicated server?
A GPU dedicated server is a physical server with one or more graphics processors allocated to your workload, alongside CPU, RAM and storage. It supports parallel computing tasks such as AI inference, deep learning and 3D rendering. Compare your application requirements and GPU memory needs before choosing a configuration.
How do I choose a GPU server for AI or rendering?
Start with the GPU memory required by your model, batch size or rendering scene. Then compare GPU count, framework or renderer compatibility, CPU, system RAM and storage. Multi-GPU memory is not automatically pooled: your application must support using multiple GPUs. Compare the plans above and send your workload requirements to our team if you need help choosing.
How much does a GPU dedicated server cost?
Monthly pricing depends on the GPU model, GPU count, RAM, storage and selected options. The RTX A4000 configuration is listed at $199 USD per month, while the dual A100 80GB configuration is $1,498 USD per month. Check the linked order page for the current price, billing cycle, operating system charges and configurable extras before ordering.
Can I use Linux or Windows on a GPU server?
The order form lists available Linux and Windows options for each configuration. Linux choices include Ubuntu, AlmaLinux and Debian. Windows editions and licensing charges vary by selection. Confirm that your chosen operating system supports the GPU drivers, CUDA version and application you plan to run, and review the final order options before checkout.