Get to know GPU Server, the Key to Building an Advanced AI Infrastructure

Get to know GPU Server, the Key to Building an Advanced AI Infrastructure

GPU Servers are in demand by many organizations that require high-performance server solutions to implement AI.  GPU servers are considered to be able to perform AI tasks efficiently compared to CPU servers in terms of parallel processing.   

Consisting of thousands of cores that can work simultaneously, GPU servers can handle complex AI workloads faster and more efficiently. From training AI models to optimizing algorithms and accelerating the inference process. So, to what extent does the server GPU play a role in optimizing AI implementation? Find out in this Virtus article. 

What is GPU Server?

GPU, or Graphics Processing Unit, is a type of computer processing unit specifically designed to handle graphics and visual data. GPUs were originally designed to control and accelerate the display of graphics on computer screens, including the rendering of 2D and 3D objects and other tasks related to computer graphics.  

Over time, GPUs have evolved into a much more versatile component than just graphics display. Today's GPUs have many parallel processing cores that enable calculations to be performed in a very short time. No doubt, GPUs are already widely used in various applications, including gaming, AI, and machine learning.  

GPUs have a different architecture from CPUs (central processing units), with a focus on efficient parallel processing, allowing GPUs to perform tasks that require repetitive calculations or tasks that can be parallelized very quickly. This is not possible for CPUs because they have high clock speeds and large memory caches, making them more suitable for tasks that require speed and sequential processing capabilities, such as running operating systems and general-purpose applications.  

In many cases, CPUs and GPUs are used together in modern computer systems, with the CPU performing general-purpose tasks and coordinating the activities of the GPU, which is responsible for intensive parallel processing. This allows computers to balance general-purpose and parallel processing to improve performance and efficiency. 

When to use GPU Server

As explained above, the use of GPU server is generally required for tasks that require high-speed intensive processing or scalable parallel processing. One of the most common uses for GPU Server is Machine Learning and Deep Learning model training and inference, as GPUs are highly efficient at performing mathematical calculations to train complex models in as little as hours, depending on complexity.  

In addition, server GPUs can accelerate the processing of tasks that involve big data analysis, streaming data processing, or real-time data processing. For example, geospatial analysis and real-time video analysis. Graphics rendering for visual effects, animation, and simulations can also take advantage of server GPUs. 

In the context of cybersecurity, server GPUs can be used to decode data flow and look for suspicious patterns in network traffic, crack passwords, or perform forensic analysis that requires fast computation.  

Now, it is important to understand that when choosing a GPU server for enterprise AI implementation, you need to consider your budget and computing needs, and ensure that the server supports the appropriate hardware or software. xFusion's FusionServer solution can be an excellent choice, specifically designed to support AI-intensive processing tasks, making it easier for you to maximize the use of this advanced technology. 

Read More: 3 Key Strategies for Building a Resilient IT Infrastructure for Business Continuity 

FusionServer, the Foundation for Revolutionary AI

FusionServer is xFusion's server solution that provides high performance, low power consumption, scalability and easy management for various application management such as cloud computing, virtualization, distributed storage, big data processing and AI.  

Through high computing with the latest processors and optimized architecture, it enables fast and efficient processing of complex AI algorithms, including AI model training and inference. In addition, with the ability to add more compute resources in server GPUs or AI-specific accelerators, FusionServer can meet the demands of increasingly complex AI workloads.  

To optimize and accelerate the processing of tasks requiring parallel computing, including AI, mathematical modeling, data analysis, and graphics rendering, FusionServer presents a series of three GPU server solutions, namely the G5200 V7, G5500 V7, and G8600 V7.   

All three can be used to accelerate machine learning model training and inference with thousands of GPU cores working in parallel, and data processing with complex mathematical operations. This enables faster and more responsive AI model development and deployment. Check out the full explanation in the following discussion. 

FusionServer G5200 V7, a Server with Reliable Performance and Energy Saving 


FusionServer G5200 V7 is a new generation 4U 2-socket GPU server that meets AI requirements for large-capacity storage. The G5200 V7 delivers robust performance, high reliability and security, energy saving, and simple management suitable for tackling heavy tasks such as voice, video, and image analysis.  

With storage sizes of up to 32 x 3.5" SAS/SATA drives and four NVMe SSDs, the server allows flexible expansion of up to 10 standard PCIe expansion slots, and high computing power powered by Intel's latest Sapphire Rapids processors with a TDP of up to 350 W.  

The G5200 V7 can also efficiently dissipate heat generated by the GPU, 50 percent better than similar servers, ensuring stable and reliable operation, even reducing downtime by 66 percent.  

2. FusionServer G5500 V7, Flexible Configuration GPU Server for AI


The FusionServer G5500 V7 is also a next-generation 4U 2-socket GPU server that supports 10 times double-width GPU cards, four times standard PCIe cards, and three times OCP NICs, as well as fast, large-capacity storage with 24 x 3.5" drivers or 12 x NVMe SSDs.  

The G5500 V7 server features high performance, flexible architecture, high reliability, easy deployment, and simplified management, suitable for supporting AI-based work. From AI training, AI inference, HPC, image and video analysis, database, and public or enterprise cloud deployment.  

3. FusionServer G8600 V7, New Generation Flagship GPU


The FusionServer G8600 V7 is a next-generation GPU server that supports eight GPU modules, 12 standard PCIe cards, and 1 OCP NICs, and provides ultra-large capacity and fast storage through 25 x 2.5" drives and 8 x NVMe SSDs.  

The G8600 V7 also delivers superior computing power, efficiency and reliability, and easy O&M for high-performance tasks such as training, scientific computing, and image and data analysis. 

Learn More About the Benefits of xFusion's FusionServer at Virtus

It's time to unlock the incredible potential of AI technology for your business with xFusion's FusionServer. Virtus Technology Indonesia (VTI), as an authorized xFusion authorized partner, will help your company implement this solution quickly and securely. Virtus' experienced, certified and competent IT team ensures all processes from consulting, deployment, management to after-sales support.    

Discuss your business needs with Virtus today. For more information about FusionServer by xFusion, contact our team by clicking here.   

Author: Wilsa Azmalia Putri    

Content Writer of CTI Group 

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