GPU Dedicated Servers

For deep learning, AI inference, graphics rendering, video transcoding, and high-performance computing

Power your most demanding projects with advanced GPU hosting solutions.

Full root/administrative access
High-speed interconnects
24/7 expert support
Diverse GPU models
High-performance CPUs
Guaranteed data privacy

Starting at €69/month

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High uptime

Secured solutions

Fast delivery

Optimized cooling

GPU Dedicated Servers

Get unmatched power with INTROSERV GPU servers, built for high-demand computing. Accelerate deep learning, AI, 3D rendering, and big data processing with lightning-fast performance. Reduce processing times, boost workflow efficiency, and scale effortlessly as your business evolves.

Perfect for graphics, animation, and media-heavy tasks, INTROSERV delivers the speed and flexibility you need to stay ahead.

Use сases

Deep learning and machine learning
Data analytics
Scientific computing
Rendering and visual effects
Financial modeling and risk assessment

3D modeling and design
Computer vision
Simulation and modeling
Robotics and autonomous systems

Features of our servers

A variety of GPU models

INTROSERV delivers a diverse selection of GPUs from top manufacturers like NVIDIA and AMD, ensuring the perfect balance of performance and cost for any project. From budget-friendly options for smaller tasks to high-powered models for intensive workloads, our configurations are tailored to meet your needs.

High data transfer rates

With cutting-edge network infrastructure, INTROSERV servers provide ultra-fast data transfer and minimal latency. Ideal for handling massive databases, multimedia files, and real-time data processing our high-bandwidth solutions keep your operations running smoothly and efficiently.

Advanced graphics processors

All of our servers are equipped with high-performance graphics processors from the world's leading manufacturers. GPUs from NVIDIA and Radeon deliver high performance for all types of workloads, whether it's computing, graphics, or artificial intelligence tasks. These graphics cards are designed to deliver maximum performance with minimal latency.

Why choose INTROSERV?

INTROSERV GPU servers, powered by industry-leading NVIDIA GPUs, deliver exceptional performance for AI, image processing, and complex scientific calculations, maximizing efficiency and your investments. Our AI-ready solutions accelerate machine learning, big data processing, and model training with unmatched speed.

Available GPU accelerators

Nvidia NVS 315

Nvidia NVS 315 1GB

CUDA cores
48
GPU base frequency
523 MHz
GPU boost frequency
No
VRAM
1GB DDR3 64 bit

Nvidia NVS 315 1GB – An entry-level GPU supporting DirectX 12 and OpenGL 4.6, ideal for simple tasks like running Android emulators. Ensures compatibility with applications requiring basic GPU acceleration.

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NVIDIA GeForce GTX 1050 Ti

CUDA Cores
768
GPU base frequency
1291 MHz
GPU boost frequency

1392 MHz
VRAM

4GB GDDR5 128bit/1752 MHz

Enhanced performance over the GeForce 1050 with increased CUDA cores and 2GB of additional VRAM. Delivers 2.138 TFLOPS FP32, improving 3D rendering, hardware video encoding, and overall speed in design applications. And in multi-GPU assemblies, such a graphics accelerator will be able to provide basic functionality in working with local LLMs.

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AMD Radeon RX6400

CUDA Cores
768
GPU base frequency

1923 MHz
GPU boost frequency

2039 MHz
VRAM
4GB GDDR6 64bit/2000 MHz

AMD Radeon RX 6400 – Optimized for 3D rendering, CAD, and video encoding, featuring high clock speeds and GDDR6 memory. Offers 3.565 TFLOPS FP32 performance, outperforming the 1050Ti in select tasks.

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NVIDIA GeForce GTX 1080 Ti

CUDA Cores
3584
GPU base frequency

1481 MHz
GPU boost frequency

1582 MHz
VRAM

11GB GDDR5X 352bit/1376 MHz

Nvidia GeForce 1080Ti – A powerful mid-range GPU with high VRAM capacity, delivering 11.34 TFLOPS FP32. Ideal for CAD, 3D design, and high-resolution video editing, ensuring smooth performance even in multi-user server environments.

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NVIDIA GeForce RTX 2080 Ti

CUDA Cores
4352
GPU base frequency
1350 MHz
GPU boost frequency
1545 MHz
VRAM
11GB GDDR6 352bit/1750 MHz

Nvidia RTX 2080 Ti – A high-performance GPU based on Turing architecture with 4352 CUDA cores and 11GB GDDR6 memory. Features real-time ray tracing, AI-driven DLSS, and delivers exceptional performance for gaming, content creation, and AI workloads.

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Nvidia GeForce RTX 5070 Ti

CUDA Cores
8960
GPU base frequency
2295 MHz
GPU boost frequency
2452 MHz
VRAM
16 GB GDDR7 256 bit/1750 MHz

Nvidia GeForce RTX 5070 Ti – A next-generation GPU featuring the Blackwell architecture and 8960 CUDA cores. With its fifth-generation Tensor Cores driving DLSS 4 and powerful AI acceleration, it delivers immense performance for professional creative workflows and demanding AI workloads.

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Nvidia L4

CUDA Cores
7424
GPU base frequency
795 MHz
GPU boost frequency
2040 MHz
VRAM
24 GB GDDR6 192 bit/1563 MHz

Nvidia L4 – A versatile GPU optimized for AI, machine learning, and video streaming, featuring 30.29 TFLOPS FP32 performance. Supports up to 1000 concurrent AV1 streams and excels in generative AI, AR, and VR applications.

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Nvidia L40S

CUDA Cores
18176
GPU base frequency
1110 MHz
GPU boost frequency
2520 MHz
VRAM
48 GB GDDR6 384 bit/2250 MHz

Nvidia L40S – The ultimate universal GPU, delivering 91.61 TFLOPS FP32 and 366 TFLOPS Tensor Core performance. Engineered for AI, image and video generation, 3D rendering, and large-scale machine learning models, ensuring top-tier efficiency and scalability.

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Variety of accepted fiat and crypto payment methods

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FAQ

What are the benefits of a GPU dedicated server?

GPU servers deliver superior performance for tasks like AI, machine learning, 3D rendering, and high-performance computing, significantly outperforming CPU only servers in parallel processing.
Who uses GPU dedicated servers?

Industries like AI, video rendering and data science rely on GPU servers for demanding computational workloads.
How do GPU servers differ from regular servers?

Unlike CPU-based servers, GPU servers are equipped with Graphics Processing Units and specialize in parallel processing, making them ideal for intensive computations.
Are GPU servers customizable?

Yes, you can customize the number of GPUs, RAM, and storage to suit your needs.
Are GPU servers secure?

Yes, you have full control over security measures.
How much do GPU servers cost?

Pricing varies by configuration, starting from a few tens of euros per month.
Can I upgrade my GPU server?

Yes, you can scale up by adding memory, RAM, or upgrading to a more powerful GPU.
Do I need a GPU to run an Android Emulator?

Yes, a discrete GPU is required for OpenGL support and hardware virtualization.
Can I test a GPU server?

Yes, a paid test is available for plans DC1, DC2, DC3, DC4 and DC7. The minimum cost is €20, lasting up to 5 days for DC1-DC4 and 2 days for DC7. For more information regarding the test, please contact support.
Do I need a GPU for CAD applications?

Yes, for optimal performance. A mid-range GPU like the GTX 1050 Ti is sufficient for basic CAD, while complex 3D models require higher-end GPUs.