GPU Servers
Powerful GPU servers: Maximum computing power for AI and deep learning
BRESSNER Technology offers state-of-the-art GPU servers designed for demanding applications such as GPU computing, AI, machine learning, and scientific computations. These high-performance computing servers deliver top-tier performance and reliability, fitting perfectly into 19-inch standard racks, ensuring maximum scalability and flexibility. They support both single and dual-root complexes to optimize various artificial intelligence applications.
In deep learning applications, a single-root complex allows the use of all GPU clusters for large learning processes, while a dual-root complex integrates the CPU more effectively and allows less distributed learning between GPUs.
GPU Servers with up to ten PCIe slotsas portable rugged solutionswith 4U, 2U or 1U rackmount enclosuressupport the latest graphics cardswith scalable Intel® Xeon® Dual or Single Socket CPUsfor edge computing, deep learning or neural networks
Applications and benefits of BRESSNER GPU servers
BRESSNER GPU servers are essential for companies that need to process large amounts of data. They enable efficient calculations and simulations in fields such as weather forecasting, genomics, and financial modeling. Our servers seamlessly integrate into existing IT infrastructures and provide high performance for any project – with our high-performance servers, you can take your projects to the next level.
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An overview of our services
Built-to-Order Systems
Design, Entwicklung und Fertigung individueller Systeme gemäß Kundenanforderungen
Lifecycle Management
Professioneller Lifecycle Management Service
für verlässliche Verfügbarkeit von Systemen und Komponenten

Tailor-made edge computing platforms
BRESSNER develops custom edge computing platforms that are perfectly tailored to your applications. We customize the CPU, RAM, and GPU exactly to your needs. Each platform undergoes a 24-hour burn-in test before delivery. Our systems support NVIDIA® and AMD® graphics cards, with up to 10 slots depending on the model.
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Do you need help?
Kontaktieren Sie unseren Vertrieb bei Fragen zu Produkten oder unseren hauseigenen Support bei technischen Fragen!
Vertrieb:
E-Mail: vertrieb@bressner.de
Telefon: +49 8142 47284-70
Support:
E-Mail: support@bressner.de
Telefon: +49 8142 47284-44
Top-class technology for the highest demands
Our GPU systems support a variety of current graphics cards. These include NVIDIA® RTX-5090, NVIDIA® RTX-4090, NVIDIA® Tesla, Intel Xeon Phi, AMD FirePro, GeForce GTX Titan X, Nallatech FPGA, and GeForce GTX 1080. These GPUs offer impressive computational power and support a wide range of applications, from 3D rendering to deep learning. The 19-inch GPU servers feature multiple PCIe slots, allowing for flexible expansion and customization. With redundant power supplies and hot-swappable components, they ensure maximum availability and minimal downtime.
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PCIe |
Bandwidth per lane |
PCIe x1 |
PCIe x4 |
PCIe x8 |
PCIe x16 |
Coding |
---|---|---|---|---|---|---|
1.0/1.1 | 2.5GT/s | 0.25 GByte/s | 1.0 GByte/s | 2.0 GByte/s | 4.0 GByte/s | 8b10b |
2.0 / 2.1 | 5 GT/s | 0.50 GByte/s | 2.0 GByte/s | 4.0 GByte/s | 8.0 GByte/s | 8b10b |
3.0 / 3.1 | 8 GT/s | 0.97 GByte/s | 3.9 GByte/s | 7.8 GByte/s | 15.8 GByte/s | 128b/130b |
4.0 | 16 GT/s | 1.90 GByte/s | 7.8 GByte/s | 15.8 GByte/s | 31.5 GByte/s | 128b/130b |
5.0 | 32 GT/s | 3.90 GByte/s | 15.8 GByte/s | 31.5 GByte/s | 63.0 GByte/s | 128b/130b |
6.0 | 64 GT/s | 7.50 GByte/s | 30.3 GByte/s | 60.5 GByte/s | 121.0 GByte/s | PAM-4 |
Market leader for PCIe Gen 5 accelerators
As the market leader for PCIe 5.0 accelerators and expansions, we are the best possible contact for all questions relating to PCI Express. Of course, this also applies to Gen 4 or Gen 3 slots!
The transmission speed for PCIe depends on the version and the number of links or lanes. The higher the version and the more links, the higher the bandwidth and the higher the transmission speed. The bandwidth indicates how much capacity is theoretically or at most available for data transfer. However, the actual data rate is lower.