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Dedicated GPU servers

Power your most demanding AI workloads with ease. From training and inference to large-scale data processing, our range of GPUs gives you the performance and reliability to deliver results faster.

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Choose the provider that drives business value

Sustainable data centers

We recycle hardware and use only renewable energy. In Sweden, we're reusing our excess heat to boost efficiency and cut environmental impact. Smart, sustainable, and committed to a greener future.

Take charge over your costs

Scale your business, not your costs. We offer simple, predictable pricing with no hidden fees. Egress is included in most products, so you can grow without surprise charges.

Compliance made simple

Protected by EU regulations and strict access policies, and ISO 27001-certified, we prioritize your data security at every level – ensuring compliance, protection, and peace of mind.

Featured dedicated GPU servers

2× NVIDIA L4 GPUs
€497
/per month
1× Intel Xeon Gold 6530 (32C / 64T – 2.1 GHz)
512 GB RAM
2× 960 GB NVMe (VROC)
100 Gbps network uplink
Enterprise Intel Xeon processors
Transfer included
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2× NVIDIA L40S GPUs
€1035
/per month
1× Intel Xeon Gold 6530 (64C / 128T – 2.1 GHz total)
512 GB RAM
2× 960 GB NVMe (VROC)
100 Gbps network uplink
Enterprise Intel Xeon processors
Transfer included
Contact sales
Talk to a specialist
Let us help you configure the perfect dedicated server – secure, sustainable, and ready to scale with your operations.
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Infrastructure that powers growth

The future of innovation depends on where it runs. We power next-gen computing with a sustainable platform that supports mission-critical workloads and adapts to tomorrow’s demands. Whether you’re training AI models or managing sensitive data, our infrastructure delivers stability, efficiency, and resilience – so your applications run without compromise.

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Infrastructure that powers growth
"Our solution focuses on analysis and delivering insights to enhance the customer experience. We rely on AI solutions hosted on a platform within the EU, ensuring that our services are reliable and environmentally friendly. With Glesys as our partner, we have achieved what we aimed for and are delighted with our dedicated GPU servers."
Cathrine Egnell
Cathrine Egnell
Marketing Manager, Indivd

What makes our dedicated GPU servers stand out

Sustainable GPU power

Train models and run inference while minimizing environmental impact. Our infrastructure is powered entirely by renewable energy and backed by advanced heat reuse, resulting in a net-zero carbon footprint.

Unmatched performance

Power your most demanding AI and HPC projects with NVIDIA L4–H100 GPU servers. Up to 6,000+ TFLOPs, Intel® Xeon® CPUs, 2TB RAM, and high-speed NVMe storage – all optimized for performance, scalability, and reliability.

Flexible by design

Customize your GPU server to match your AI projects. We optimize the hardware and configurations for your needs. Our modular hardware lets you add GPU, storage, or networking capacity as your AI workloads grow, so you can scale without replacing your system.

Workloads without limits

High-performance infrastructure for HPC, AI, and virtualization – combining reliability, scalability, and efficiency so you can cut complexity, lower costs, and accelerate innovation at scale.

Reliable connectivity

Handle massive datasets and real-time processing with ease. Our high-speed, low-latency connectivity ensures your GPU workloads run efficiently, providing uninterrupted performance for even the most demanding AI applications.

Frequently asked questions

What is a dedicated GPU server?
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A dedicated GPU server is a physical server equipped with one or more high-performance GPUs (Graphics Processing Units) that are reserved exclusively for your workloads. Unlike shared or virtualized environments, all CPU, memory, storage, and GPU resources are dedicated solely to you, providing predictable performance and full control.

These servers are designed to handle demanding tasks such as AI training, machine learning, 3D rendering, and large-scale data processing, where power and reliability are essential. With a dedicated GPU server, you can configure software, security, and workflows exactly to your needs, without the limitations of shared infrastructure.

Dedicated GPU server vs colocation – what's the difference?
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With a dedicated GPU server, you get a ready-to-use physical server hosted in our data center. We handle the hardware, so you can focus on running high-performance applications, AI workloads, or large-scale data processing – while maintaining full control over the server’s software environment.

Colocation, on the other hand, means bringing your own GPU hardware to the data center. You handle installation, maintenance, and upgrades yourself. This provides full control over the equipment but comes with higher upfront costs, operational overhead, and added complexity.

For many businesses, a dedicated GPU server strikes the right balance: enterprise-grade performance, predictable costs, and minimal operational burden.

How do I choose the right GPU server for my needs?
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The right GPU server depends on your workload and goals. Key aspects to consider include:

– Workload type: AI training, inference, rendering, data science, or other use cases

– Performance requirements: Throughput, latency, and data volume

– Budget: Balance cost with the performance you need

– Power and cooling: Ensure the setup can support your GPUs

– Scalability: Choose hardware that can grow with your projects

Not sure where to start? Contact our team and we will help you find the right setup for your business.

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