NVIDIA reference architectures
Perfectly designed
for an easy start
NVIDIA offers flexible solutions that imagine new, multiple prescriptive architectures. These architectures are adaptable to support the evolving demands of AI and HPC workloads.
NVIDIA B200 DGX SuperPOD
NVIDIA H200 DGX SuperPOD
NVIDIA DGX NVL72
NVIDIA DGX BasePOD
NVIDIA × VAST
DGX POD
NVIDIA × NetApp
DGX POD
GPU-accelerated Severs For Every Workload
GPU-accelerated systems are suitable for a wide range of computational tasks, from graphics processing to deep learning, thanks to their parallel capabilities and high computing power.
- Higher Performance
- Energy Efficient
- Faster Computations
Find the right one in our GPU Selector!
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Frequent Questions
GPUs overachieved CPUs in AI computation performance years ago and NVIDIA was the leading company for both hardware and software development for AI.
Yes, we are working with the main IT vendors to provide special pricing and promotions for education and research organizations. Select your configuration in our AI server configurator and send us your quote. We will provide you updated pricing with all promotions included.
Yes, NVIDIA offers Inception program with special pricing for selected Nvidia AI GPUs and access to technical resources within the program. Select your configuration in our AI server configurator and send us your quote. We will provide you updated pricing with all promotions included.
AI server comes with 3 years warranty, 9x5 remote support.
We can ship AI servers to all EU countries. We are also ready to discuss the shipments and delivery conditions to non-EU countries (taxes, customs clearance, etc.).
Yes, please don't hesitate to contact us. We can provide you tailored configuration for your needs. We are also working with the main server vendors – Lenovo, Hewlett-Packard Enterprise, Fujitsu, Supermicro, ASUS, Gigabyte, QCT to fit your requirements.
No. Gaming cards (e.g. NVIDIA GeForce RTX 4090) are not supported in server deployment. EULA to NVIDIA GeForce software strictly says: No Datacenter Deployment in Chapter 2.1.3 Limitations. You may also face overheating and system stability issues of GeForce cards as colling/fan are not designed for placement to server chassis.
We usually deliver AI servers in 4-6 weeks after receiving purchase order. Currently there are longer delivery dates for some NVIDIA GPUs. We are trying to get the latest status and advise possible transitions.
The easiest way is to use our DGX cloud offering. There are available enough computation resources and trained NVIDIA experts. You can start to train and deploy your LLMs in minutes.
Nvidia Elite partners achieved the highest level of partnership, reserved for partners that demonstrate the highest level of commitment and skills to Nvidia portfolio. M Computers that operates Aiserver.eu portal keeps Nvidia Elite status for several years.
Aiserver.eu is more configurator than shop. We try to discuss and tune every configuration with our clients to ensure it is best for each AI use case and also to optimize the pricing and include all vendor price pomotions the to final quote.
Yes, we are working with NVIDIA Deep Learning Institute to provide you the best of class trainings of AI application development – on-line courses or instructor-led workshops.
Don't hesitate to contact us! We are ready to support you in your AI journey.
