GPU DEDICATED SERVERS’ APPLICATIONS
What is a GPU server?
GPU dedicated servers are servers that are equipped with one or more dedicated graphics processing units (GPUs) that are specifically designed to handle complex mathematical and graphical computations. GPUs can perform certain calculations much faster than traditional CPUs, making them well-suited for tasks that require parallel processing of large datasets.
What are GPU servers used for?
These servers are often used in industries such as video and photos editing, machine learning, gaming, and scientific research where high-performance computing is critical.
GPU server for rendering
Dedicated servers with graphics cards can be used for graphical design to improve performance in a variety of design applications. These applications may include graphic design software, 3D modeling software, video editing software, and other visual design tools.
A GPU server can perform tasks such as rendering 3D models, applying complex visual effects, and processing high-resolution images quicker than with traditional CPU-based systems. This can significantly improve productivity and workflow efficiency for graphic designers .
GPU server for deep learning and machine learning
GPU based servers are an important tool in machine learning and deep learning because they can accelerate the training and inference of neural networks. Neural networks are a key component of many algorithms, and they require a lot of processing power to train on large datasets.
By using a dedicated server with graphics cards , data scientists and machine learning engineers can train and run models much faster than they would be able to with a CPU alone. This can lead to significant improvements in the accuracy and performance of machine learning models, as well as faster turnaround times for model development and deployment.
GPU servers are an essential tool for anyone working in the field of Artificial Intelligence, allowing them to train and run more complex models and process larger datasets more quickly and efficiently .
GPU server for gaming
The gaming industry usually uses GPU servers to provide high-quality graphics and smooth gameplay for players. When it comes to gaming, the performance of a GPU is crucial because it determines the frame rate, resolution, and overall visual quality of the game.
GPU servers are often used for cloud gaming services , where games are streamed over the internet rather than being run locally on the player's device. This allows players to access high-quality games without needing to invest in expensive hardware, and it also allows game developers to reach a wider audience.
With GPU servers made for gaming, game developers and publishers can offer players a more immersive gaming experience. The servers are typically located in data centers with high-speed internet connections and powerful GPUs that can handle the demands of multiple players simultaneously. This allows players to connect to the server from anywhere in the world and enjoy a smooth, low-latency gaming experience.
GPU server for scientific research
Dedicated GPU servers are widely used in scientific simulations to accelerate the computation and analysis of large datasets. Many scientific simulations require significant processing power, particularly those that involve high-performance computing (HPC), large-scale simulations, and machine learning algorithms, as we've seen above.
GPUs are particularly well-suited for scientific simulations because they can perform many calculations in parallel, which is necessary for tasks such as simulating complex physical systems or analyzing large genomic datasets.
In addition to accelerating simulations, GPU servers can also enable scientists to run simulations and analyses that would be otherwise impossible due to the size and complexity of the data involved. This can help researchers to gain new insights into a wide range of scientific fields, including astronomy, climate science, genomics, and many others.
Our GPU Servers
HGX server: Godì 1.8 SR-NV8
6U 19"
The excellence of AI Supercomputing Platform based
on Intel® Xeon® 4th generation and
NVIDIA SXM5 with 8 H100 80GB!
Godí 1.4
1U 19” Rackmount
GPU
Single or Dual processor. Up to 4 GPUS/FPGA. Air cooled.
Available in:
- Dual 3rd Gen Intel® Xeon® Scalable Processors TDP up to 270W or Single/Dual AMD EPYC 7002/7003 Series Processors TDP up to 280W
- 2x Internal M.2 NVMe drives (PCIe Gen4)
- Up to 32 DIMM slots
- I/O: 2x PCIe 4.0 x16 (HH-HL SW)
Applications:
- HPC
- Rendering
- AI/ML
- GPU virtualization
OCtoPus 1.4 & OCtoPus 1.8
1OU or 2OU 21” OCP Rackmount
GPU
Single or Dual processor. Up to 8 GPUS/FPGA.
Available in:
- 3rd Gen Intel® Xeon® Scalable Processors TDP up to 270W or AMD EPYC 7002/7003 Series Processors TDP up to 280WW
- 2x Internal M.2 NVMe drives (PCIe Gen4)
- Up to 16 DIMM slots
- I/O: 2x PCIe 4.0 x16 (HH-HL SW)
Applications:
- HPC
- Rendering
- AI/ML
- GPU virtualization
Atlantis 1.4 &
Atlantis 1.8
1U or 2U 19” Rackmount
GPU
Single or Dual processor. Up to 8 GPUS/FPGA. Immersion cooled.
Available in:
- Single/Dual 3rd Gen Intel® Xeon® Scalable Processors TDP up to 270W or Single/Dual AMD EPYC 7002/7003 Series Processors TDP up to 280W
- 2x Internal M.2 NVMe drives (PCIe Gen4)
- Up to 16 DIMM slots
- I/O: 2x PCIe 4.0 x16 (HH-HL SW)
Applications:
- HPC
- Rendering
- AI/ML
- GPU virtualization
Discover our partners in the GPU market !