GPU Server

 

OUR GPU SERVERS MASTER your AI CHALLENGES

You would like to run a Large Language Model (LLM) that works with human language on the basis of deep learning models? Our GPU servers meet the requirements of high-performance computing – and are also available as a managed option.

 

ADVANTAGES AT A GLANCE

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Performance

The computing power of the base system, paired with the power of up to two entry or production-level graphics cards

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Upgradability

On request, we can equip your GPU server with up to 2 TB RAM, 4x NVME, 8x SATA and two GPUs

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Modern hardware

We offer the latest graphics cards and state-of-the-art hardware components for our GPU servers

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Managed Server

We also offer GPU servers as a managed variant, where we take over the server management for you – we're happy to make you an offer

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Swiss location

You can be sure that your data will remain in Switzerland and that your provider follows and exemplifies a sensitive approach to information security

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Hypervisor option

You can also use our base system without a GPU and thus for virtualization

 

 

Pricing & technical data

Base system
can be used independently as a hypervisor
Monthly costs
CHF 699.-
GPU slots
up to 2 GPUs
Processor unit
AMD Epyc 7763 | 64 Cores | 2.45 Ghz
RAM
64 GB (up to 2 TB possible)
Storage
2x 960 GB NVME (up to 4x NVME and 8x SATA possible)
RAID configuration
Software RAID-1
Setup fee
CHF 699.- (nonrecurring)
Entry Level GPU
Production Level GPU
Monthly costs
Entry Level GPU: CHF 399.-
Base system: CHF 699.-

Total base system + GPU: CHF 1098.-
Production Level GPU: CHF 999.-
Base system: CHF 699.-

Total base system + GPU: CHF 1698.-
GPU
Nvidia RTX 4500 ADA
Nvidia L40s
VRAM
24 GB
48 GB
Memory Bandwidth
432 GB/s
864 GB/s
Tensor Cores
240
568
CUDA Cores
7680
18176
TFLOPS (FP32)
39.6
91.6

Prices in CHF excl. VAT

Availability can fluctuate due to the very high market demand for GPU servers.

Also available as a managed GPU server.

USe Cases & product details

CPU Vs. GPU

In contrast to conventional servers, GPU servers offer a drastic increase in performance for complex calculations. This type of server performs the majority of calculations in graphics processors. This is why GPUs are also the most important components for High Performance Computing (HPC). Such servers are increasingly being used for machine learning or large language models in particular.

Nowadays, graphics cards are not only used for image processing, but increasingly in specialized servers for applications such as artificial intelligence (AI), rendering, computer-aided design (CAD), visualizations or simulations. Thanks to the many processor cores (also known as shaders) in GPUs, they can perform many similar operations in parallel. This allows tasks to be processed quickly and cost-effectively.

Nine gpu server

Our base system is already equipped with powerful components, so you don't have to make any compromises. The base system can also be used without a GPU as a powerful hypervisor system for virtualization. Or you can have your Nine GPU Server equipped with one or even two graphics cards - depending on your requirements, you can choose between an entry-level and a production-level model. As a further option, we also offer our Nine GPU servers as managed servers and take care of maintenance, management, monitoring, updates and much more for you – do not hesitate to contact us for an offer.

When selecting the hardware components, we focused primarily on an optimal price-performance ratio in the interests of our customers. We therefore examined various options in advance, including the H100 from Nvidia, compared their price/performance and availability and decided on the above-mentioned configurations. As flexibility is very important to us at Nine, we can also install other professional components on request.

 

 

Do you have any questions about GPU Servers? Contact us

 

 

ADDITIONALLY AVAILABLE PRODUCTS