DeepSeek Start
For testing and smaller inference workloads
billed monthly
that is PLN 899.00 / month
- GPU: 1× NVIDIA RTX A2000 (12 GB)
- CPU: 10 vCPU
- RAM: 24 GB
- NVMe storage: 250 GB
- Unlimited transfer
Cloud Computing · Hosting & VPS
Run DeepSeek-R1 and DeepSeek-V3 in your own private cloud in Poland: dedicated NVIDIA GPUs, full control over your data, from PLN 899 net per month.
Plans and pricing
Dedicated NVIDIA GPUs, NVMe storage and unlimited transfer. Order online in two steps — or configure any GPU solution for your own needs.
Prices exclude VAT. 23% VAT is added at checkout.
For testing and smaller inference workloads
billed monthly
that is PLN 899.00 / month
Production inference for smaller models
billed monthly
that is PLN 2,999.00 / month
Larger language models and fine-tuning
billed monthly
that is PLN 4,349.00 / month
Demanding models and parallel workloads
billed monthly
that is PLN 5,499.00 / month
Two GPUs for research and the largest models
billed monthly
that is PLN 8,599.00 / month
Need more resources or a custom setup? Let’s talk — we will send a quote within 1 business day.
Custom GPU solutions
The DeepSeek plans above are ready-made starting points — but you can order any GPU solution tailored to your needs. Tell us what you want to run, and our engineers will design the right configuration: the GPU model and number of cards, CPU, RAM, fast NVMe storage and network.
Service details
We offer dedicated compute environments optimized for DeepSeek models such as DeepSeek-R1 and DeepSeek-V3. Combine the performance of the latest GPUs with the openness and precision of one of the most advanced LLMs in the world.
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Put powerful reasoning and analysis capabilities to work in your company.
DeepSeek excels at generating, refactoring and explaining complex code in many programming languages.
Connect the model to your own knowledge base (Retrieval-Augmented Generation) to get precise, document-grounded answers.
DeepSeek models (especially the R1 series) show outstanding capabilities in mathematics and logical reasoning.
Build responsive, intelligent chatbots for customer service or internal processes.
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DeepSeek is a family of large language models (LLMs) developed by the Chinese AI lab DeepSeek. What sets it apart is that its flagship models are released as open weights: anyone can download them and run them on their own hardware, instead of sending data to someone else's API.
The public DeepSeek app and API process your prompts on the provider's servers outside the European Union. For company documents, source code or personal data this is often a deal-breaker. Running DeepSeek on your own dedicated GPU server in our Polish data center changes that:
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The key factor is GPU memory (VRAM): the whole model has to fit in it, together with the context of the conversation. The table shows what each plan can comfortably run with the popular 4-bit quantization.
| Plan | GPU memory | DeepSeek models it runs well |
|---|---|---|
| DeepSeek Start | 12 GB | R1 Distill 1.5B, 7B, 8B and 14B — assistants, prototypes, internal tools |
| DeepSeek Basic Inference | 24 GB | R1 Distill up to 32B; 7B–14B with room for more users and longer context |
| DeepSeek Pro LLM | 24 GB (HBM2) | R1 Distill 32B for production use; fast 7B–14B inference for many users |
| DeepSeek Advanced AI | 48 GB | R1 Distill 70B — the strongest single-GPU DeepSeek reasoning model |
| DeepSeek Ultra Research | 2 × 48 GB | R1 Distill 70B at higher precision (8-bit), long context, several models side by side |
| Multi-node cluster | A100 / H100 | Full DeepSeek-V3 and DeepSeek-R1 (671B) — built to order, see GPU servers |
Figures are approximate: actual memory use depends on quantization, context length and the number of concurrent users. Not sure? We will size it for your use case.
A 30-minute call with an engineer — we'll outline the scope and ballpark budget, with no sales pitch.
Questions and answers
DeepSeek is a family of large language models developed by the AI lab DeepSeek. Its best-known models are DeepSeek-R1, a reasoning model, and DeepSeek-V3, a general-purpose model. Both are released as open weights, so they can be run on your own servers instead of through a public service.
DeepSeek-R1 and its distilled versions are published under the MIT license, which allows commercial use. The model weights cost nothing; what you pay for is the GPU infrastructure that runs them. Distilled models built on other base models also inherit those models' licenses, so check the model card of the exact version you deploy.
It depends on where the model runs. The public DeepSeek app and API process data on the provider's servers outside the EU. When you host DeepSeek on your own dedicated server in our Polish data center, prompts and documents stay on your instance and are not shared with the model's author or any third party.
Yes. The distilled DeepSeek-R1 models (1.5B to 70B parameters) run on a single GPU server — for example the 70B version on our DeepSeek Advanced AI plan with an NVIDIA A40 (48 GB). The full 671B models need a multi-node GPU cluster, which we build on request.
With 4-bit quantization, as a rule of thumb: 7B–8B models need about 5–6 GB of VRAM, 14B about 9–10 GB, 32B about 20 GB and 70B about 40–43 GB, plus extra memory for the conversation context. The full DeepSeek-V3 / R1 (671B) needs hundreds of gigabytes across several GPUs.
DeepSeek-V3 is a general-purpose chat and coding model that answers directly. DeepSeek-R1 is trained for reasoning: it works through a problem step by step before giving the answer, which makes it better at mathematics, logic and complex analysis, but slower and more verbose. The distilled R1 models bring this reasoning style to smaller, cheaper hardware.
Yes. Popular inference engines such as vLLM and Ollama expose an OpenAI-compatible API, so most applications and libraries written for OpenAI can switch to your private DeepSeek by changing the endpoint address and key.
Yes. Besides the ready-made DeepSeek plans, we build any GPU solution to your requirements: a different GPU model or number of cards, more RAM or storage, multi-GPU servers for training and fine-tuning, or multi-node NVIDIA A100 / H100 clusters. See our GPU servers or ask for a custom quote.
Your server runs in a Tier III data center in Poland with ISO 27001 certification, so the data stays in the European Union.
Order a plan online in two steps. We deliver the server within at most 2 business days after payment. If you want a ready-to-use setup, our engineers can install the model and the API for you — contact us.
See also
Not sure what to choose?
A short call with an engineer, not a salesperson: traffic, requirements, budget. If a cheaper package will do, we'll tell you.
We respond within one business day.
Go to contactOrder