Business · Hosting
GPU & AI servers in a Swedish datacenter
Supermicro systems with NVIDIA GPUs and Intel Gaudi2 for AI, machine learning and rendering. Configure your server and request a quote — we build, host and service it.
Choose a server
IP GPU Servers
Three proven 4U platforms. Click to view full specifications and à la carte pricing.
IP 4U-E12G
- Socket
- SP3 · Single
- GPU
- up to 12 GPUs
- RAM
- DDR4 ECC · 2 TB
- PCIe
- PCIe 4.0
From SEK 54,000
View specs & pricing →Dual socket SP3IP 4U-E10G
- Socket
- SP3 · Dual
- GPU
- up to 10 GPUs
- RAM
- DDR4 ECC · 4 TB
- PCIe
- PCIe 4.0 · 10GbE inbyggd
From SEK 70,200
View specs & pricing →Dual socket SP5IP 4U-E10G
- Socket
- SP5 · Dual
- GPU
- up to 10 GPUs
- RAM
- DDR5 ECC · 8 TB
- PCIe
- PCIe 5.0
From SEK 133,200
View specs & pricing →1 · Choose model
2 · Configure
Delivery model
The price is for the hardware — choose how to run it
Buy the server and run it yourself, lease it fully managed with us, or place it as colocation. We price the hosting in the quote.
Buy the hardware
A one-off cost per the configurator. You own the server and place it wherever you like.
Lease in our datacenter
We host the server in our Swedish datacenter — power, cooling, redundant network and monitoring included. Fixed monthly cost, no capital tied up.
Colocation
Buy or lease the server and place it in any datacenter — your own or ours. You pay for rack space, power and network.
Own AI vs cloud AI
10 reasons to run your own AI server
Global AI services are easy to start with — but your own server wins on cost, control and data protection once things get serious.
- 1
Predictable cost
A fixed hardware cost instead of per-token billing that spirals as usage grows. No surprises on the invoice.
- 2
Sensitive data stays with you
Prompts, documents and customer data never leave the server. Nothing is sent to an external AI provider that could log or train on it.
- 3
GDPR & data sovereignty
Data is stored in a Swedish datacenter within the EU. No third-country transfers to explain to your data protection officer.
- 4
No vendor lock-in
You own the model, the weights and the infrastructure. Switch models whenever you like — nobody raises the price or shuts the API down under you.
- 5
Low latency
Local inference without an internet round-trip means faster responses — crucial for real-time apps and large batch jobs.
- 6
No rate limits or queues
Run as much as you want, around the clock, with no API quotas, throttling or waiting at peak load.
- 7
Full control & logging
You decide access, auditing and where the logs live. No prompts leak to an external party.
- 8
Your own models & fine-tuning
Fine-tune open models (Llama, Mistral and others) on your own data — something cloud services rarely allow on your data.
- 9
Independent of vendor policy
No sudden price change, model deprecation or content filter that breaks your product overnight.
- 10
An asset you own
The hardware is an investment, not a forever subscription. It runs AI by day and other work by night — and has residual value.
GPU servers in Sweden — buy or rent
What is a GPU server?
A GPU server is a powerful server with one or more graphics processors (GPUs) rather than relying on ordinary CPUs alone. GPUs are built for massive parallel computation, which makes them unmatched for AI, machine learning, deep learning, data analytics, scientific computing and 3D rendering. With several NVIDIA GPUs in the same chassis you train and run large models locally — fast, and without sending data to an external cloud service.
Rent or buy a GPU server?
It is your choice. Renting (leasing) a GPU server gives a fixed, predictable monthly cost with no capital tied up — we run the server fully managed in our Swedish datacenter with power, cooling, redundant network and monitoring included. Buying the server makes it an asset you own, with residual value, and it can sit with us or in your own datacenter as colocation. Many start by renting to get going quickly and move to owning once the need is stable.
NVIDIA H100, A100 and Intel Gaudi2
We build on proven Supermicro 4U platforms that take up to 10–12 GPUs per server, with current NVIDIA datacenter GPUs such as the H100 and A100 plus Intel Gaudi2 for AI training and inference. Combined with fast AMD EPYC processors (SP3/SP5), up to 8 TB of ECC memory and PCIe 4.0/5.0, you get a balanced machine where the GPUs are never starved of data. If you need a specific GPU model or a certain number of cards, we tailor the configuration.
What are GPU servers used for?
Common uses are training and fine-tuning your own AI models (Llama, Mistral and others), running local LLM inference with no rate limits, image generation and computer vision, large-scale data analytics, and 3D and video rendering. Because everything runs on your own hardware in Sweden, prompts, documents and customer data stay within the EU — good for GDPR and for industries with strict data-sovereignty requirements.
Swedish datacenter, hosting and support
The servers run in our Swedish datacenters with redundant power and network, green electricity and low latency for Swedish users. We can deliver anything from bare hardware to fully managed hosting — we install, monitor and service it, so your team can focus on the models instead of the infrastructure. Configure your GPU server above and request a quote, and we usually reply within one business day with price and lead time.
Frequently asked questions
How much does a GPU server cost?
Price depends on the configuration. Build your spec above and request a quote — we usually reply within one business day with price and lead time.
Where are the servers hosted?
In our Swedish datacenters in Hudiksvall and Stockholm, with redundant power and network.
Can you install and manage it for us?
Yes. We can deliver as colocation, dedicated hosting or fully managed — tell us what you need in the quote request.
Can I upgrade later?
Yes, the servers are modular. Contact us and we will plan an upgrade of GPU, memory or storage.
Can you rent a GPU server instead of buying?
Yes. You can rent (lease) the GPU server fully managed in our Swedish datacenter at a fixed monthly cost — without tying up capital in hardware. If you would rather own it, you buy it per the configurator. State in the quote request whether you want to buy or rent.
Which NVIDIA GPUs can I get (H100, A100)?
We build with current NVIDIA datacenter GPUs such as the H100 and A100, plus Intel Gaudi2 for AI training and inference. If you need a specific GPU model or a certain number of cards per server, tell us in the quote request and we build accordingly.