GPU Servers

GPU servers are rack‑mount or tower systems equipped with one or more graphics processing units (GPUs) designed for parallel computation tasks. They are selected for workloads that benefit from massive parallelism, such as deep learning training, inference, scientific simulations, video rendering and high‑performance computing (HPC). These systems combine GPUs with multicore CPUs, large RAM capacities, high‑throughput storage and specialized cooling to sustain sustained compute loads. GPU servers on this page include different form factors, GPU models and configurations offered by third‑party manufacturers and resellers. Buyers typically choose GPU servers when task acceleration, throughput and scalability are priorities for data centers, research labs or production rendering farms.

Use cases of GPU Servers

Common use cases where GPU servers are applied include:

• Deep learning training and inference for neural networks, including computer vision and NLP models.
• Scientific computing and simulations that require parallel floating‑point performance.
• Video encoding, real‑time rendering and VFX production in media and entertainment.
• High‑performance data analytics, accelerated databases and real‑time analytics.
• Virtual workstation hosting and GPU‑accelerated virtualization for engineering and design.

Types of GPU Servers

GPU servers are available in several basic types adapted to different deployment needs:

• Single‑GPU servers — compact systems for development, inference or smaller workloads.
• Multi‑GPU servers — systems with multiple GPUs for distributed training and higher throughput.
• Blade and dense rack servers — high‑density solutions for data centers and scale‑out clusters.
• Workstation‑class GPU servers — tower or rack servers optimized for interactive workloads and visualization.

Key features to consider

When evaluating GPU servers, check the following technical aspects:

• GPU model and memory — determine compute capability, CUDA cores/TPU equivalents and on‑board VRAM for model size.
• CPU performance and core count — relevant for preprocessing, orchestration and host tasks.
• System memory and storage — adequate RAM and fast NVMe or SSD storage for datasets and I/O.
• Cooling and power delivery — sufficient cooling and redundant power supplies for sustained loads.
• Networking and expandability — PCIe lanes, InfiniBand/10‑100GbE options and additional PCIe slots for future upgrades.
• Form factor and rack compatibility — 1U/2U vs. tower, chassis dimensions, and mounting requirements.

How to choose GPU servers

To choose the right GPU server, follow a structured approach:

• Define workload requirements: estimate model sizes, batch sizes, and expected throughput to size GPU and memory needs.
• Balance compute and I/O: ensure CPU, RAM and storage match GPU performance to avoid bottlenecks.
• Consider scalability: decide if you need a single powerful node or a cluster with networking like InfiniBand.
• Check power and cooling constraints at your site and choose a compatible form factor and redundancy options.
• Compare vendor configurations, warranty and support levels since products are supplied by manufacturers and resellers.
• Plan for future upgrades: look for systems with spare PCIe slots, additional drive bays and modular power options.

Which servers are the most popular and affordable in 2026?

The full list of popular models at affordable prices is available on this page. In 2026, the following models show high demand and an excellent price-to-quality ratio:

• IP communication server AGFEO ES PURE-IP X IT 40 users for 457.99€
• HPE 881507-001 Internal Hard Drive 2.4 TB 10000 RPM 2.5-inch SAS for 814.99€
• Rack server Supermicro SuperServer 5019D-4C-FN8TP (1U) — Intel SoC BGA 2518, 4 DIMM, max 512 GB, 200 W, 10GbE for 1158.99€
• Actina Server Mini Tower, AMD EPYC 9354P, 16GB DDR5 RAM, 960GB Storage, 400W PSU for 1357.99€
• HPE ProLiant MicroServer Gen11 G7400 server 1 TB Ultra Micro Tower Intel Pentium 16 GB DDR5 SDRAM 180 W for 1885.99€

Why is it worth buying servers at AiO.lv?

At the AiO.lv online store, you can place an order at a great price with delivery across Latvia — to Riga, Daugavpils, Liepaja, Jurmala, Ventspils, and other cities, as well as throughout Europe. We offer products from leading manufacturers: ASROCK, Dell, Epson, FUJITSU, HP, INTEL, Lenovo, Microsoft, MITAC, PLANET, PNY, SYNOLOGY, ActiveJet, Asus, GIGABYTE, MSI, OEM, Supermicro, tripp lite, INTER-TECH. When you shop with us, you get:

• official warranty and guaranteed quality;
• convenient payment options (including installment and credit);
• fast and reliable delivery across Latvia and to any EU country.

FAQ

Where can you find a servers with cheap prices?

You can buy cheaper at the AiO.lv online store. We offer competitive prices and regular discounts, so you always have the chance to find a great deal.

What is the delivery time for servers?

If you place your order today, delivery will take between 1 and 5 business days depending on the chosen method.

How long is the warranty period for servers?

Our store provides an official manufacturer’s warranty ranging from 12 to 36 months, depending on the model and brand. If needed, you can always contact our customer service department or the manufacturer’s authorized service center for support.

Are servers purchasable with leasing?

Yes, if the selected product costs more than €50. You can learn more about installment purchase options and the terms of application on the Payment page.

Can servers be purchased for a company (with VAT)?

Yes. AiO.lv works with legal entities in Latvia and throughout Europe. All product prices are shown with VAT included. In certain cases, a 0% VAT rate may apply — for example, when purchasing from other EU countries with a valid VAT number. We issue an invoice immediately after the order is placed, support BIS electronic invoices, and automatically generate all required accounting documents. To complete a purchase for a company, simply select the company profile during checkout.