Rent a GPU Server for AI Training, Inference, and Local Deployment
Get the GPU power you need for compute-intensive workloads without investing in your own hardware. Choose from AI mini PCs for smaller projects or high-performance NVIDIA RTX PRO 6000 and H200 GPUs.
to your project
within 15 minutes
for secure AI operations
infrastructure
12 years with us
9 years with us
11 years with us
GPU Server Offering
AI Deployment Consultation
Years of experience in operating data centers, building high-performance clusters, and delivering DevOps services enable us to deploy AI reliably and efficiently. Tell us about your requirements, and we’ll recommend the right technologies, design the infrastructure, and manage your AI platform.
Selected Technologies We Work With
- Qwen3-VL a Owen3-30b-a3b
- GLM 4.6
- Llama 4 Scout
- Gemma3-27b
- gpt-oss 20b a 120b
- IBM Granite 4
- Apriel-1.5-15b-Thinker
- DeepSeek
- Mistral AI (Magistral)
- Stability AI
- OpenAI (GPT-4 / GPT-5)
- Anthropic Claude
- Cohere Command R+
- LangChain
- vLLM
- llama.cpp
- AIBrix
Expert Support for AI Infrastructure
Leverage the expertise of our specialists. IT outsourcing helps solve specific AI deployment challenges and ensures reliable long-term operations.
What You’re Most Interested In
What is a GPU server?
A GPU server is a high-performance server equipped with one or more graphics processing units (GPUs) optimized for parallel processing of large numbers of computing tasks. Unlike servers that rely solely on CPUs, GPU servers can perform thousands of operations simultaneously. This makes them ideal for AI model training and deployment, machine learning, large-scale data analysis, 3D rendering, and scientific simulations.
Do I get a dedicated GPU or share it with others?
All our GPU servers provide a fully dedicated GPU for a single customer. You never share your GPU with anyone else.
Which GPUs do you offer, and can I choose a specific configuration?
We offer the latest Ryzen APU models, NVIDIA RTX PRO 6000 Blackwell, and NVIDIA H200-NVL. Complete systems can be configured to meet your specific requirements.
How can I scale my GPU capacity?
The options are extensive. You can start with a single GPU server and gradually expand your infrastructure into a multi-node cluster. We can also help you design the right architecture.
Can GPU servers be integrated with existing AI tools and frameworks?
Yes. Our GPU servers are fully compatible with commonly used open-weight frameworks and tools that are publicly available for download and use.
Can I combine my own hardware with your GPU resources?
Yes, this is a common setup. If you have your own servers, you can connect them to GPU servers in our data centers. Alternatively, we can deploy an AI cloud on your own hardware.
How do you ensure security and data protection?
Running AI on your own infrastructure is key to maintaining control over your data. You can use AI models to streamline internal processes without exposing sensitive company data. Your AI workload remains compliant with applicable legislation, regulations, GDPR, and NIS2. Your data stays in the Czech Republic.
At MasterDC, we also follow internationally recognized standards including ISO 9001, ISO/IEC 27001, ISO/IEC 27017, and ISO/IEC 27018. Security is overseen by the MasterDC CSIRT team, and as a member of the FENIX project, we contribute to the cybersecurity of the wider internet. Our cloud platform is listed in the Czech Republic’s official cloud computing catalogue at Security Level III.
Documents & Manuals
Find all instructions and manuals associated with GPU servers in one place.
Connect with our team today to discuss your needs and schedule a meeting.
- +420 515 919 805
- sales@master.cz