Modern business is rapidly adopting AI technologies — from process automation and data analysis to creating innovative products based on generative AI. However, AI/ML algorithms require specialized computing systems that can handle colossal amounts of data using parallel computing for their effective operation.
With the growing demand for high-performance solutions and the need for technological independence, companies in the MENA region are increasingly turning to alternative manufacturers. ITPOD, a part of ITG Corporation, introduces the ITPOD-SY4108G-D12R-G4 flagship server, a powerful computing platform specifically designed for the most demanding AI and machine learning tasks.
Detailed Overview of ITPOD-SY4108G-D12R-G4
To understand the capabilities of this high-performance system, it is necessary to consider the key technical solutions that make the ITPOD-SY4108G-D12R-G4 server an optimal choice for AI/ML tasks. Let’s start with the overall architectural concept that defines the philosophy of building the entire system.
Architectural concept
The ITPOD-SY4108G-D12R-G4 server is a high-performance computing system in a 4U form factor, specifically optimized for AI and machine learning tasks. The system is based on 5th generation Intel Xeon Scalable processors with a TDP of up to 350W, providing exceptional performance and energy efficiency.
A key feature of the architecture is the ability to host up to 8 full-height double-width full-length GPU accelerators with direct GPU-CPU connectivity via the PCIe 5.0 x16 interface. This solution minimizes latency and maximizes bandwidth between processors and accelerators, which is crucial for the efficient operation of modern AI/ML algorithms.
This architectural foundation requires an appropriate processing power that can effectively coordinate multiple GPUs and provide them with data with minimal delays.
Processor subsystem
The server is based on two 5th generation Intel Xeon Scalable processors, representing the latest word in server technology. These chips are manufactured using a modern process and provide an optimal balance between processing power, power consumption and performance per watt.
The 5th generation Intel Xeon Scalable architecture includes advanced vector instructions optimized for machine learning operations, as well as an improved memory subsystem and enhanced accelerator capabilities. PCIe 5.0 support provides double the bandwidth compared to the previous generation, which is particularly important when working with multiple GPUs.
However, even the most powerful processors require proper support in the form of a high-performance memory subsystem that can provide a continuous stream of data for intensive AI/ML calculations.
Memory Subsystem
The server is equipped with 32 DDR5 memory slots with a frequency of 5600MHz, which provides an unprecedented bandwidth for processing large data arrays. The maximum amount of RAM can reach several terabytes, allowing you to work efficiently with large datasets and complex machine learning models.
DDR5 not only offers increased bandwidth, but also improved energy efficiency compared to previous generations of memory. This is particularly important in the context of high-performance AI/ML systems, where energy consumption can significantly impact operational costs.
The memory architecture is optimized to minimize data access delays, which is critical for deep learning algorithms that involve intensive data exchange between the CPU, GPU, and system memory.
Along with RAM, the persistent storage subsystem plays an equally important role in the performance of AI/ML systems, as it must provide fast access to training datasets and intermediate calculation results.
Data Storage System
The ITPOD-SY4108G-D12R-G4 storage subsystem is designed to meet the specific requirements of AI/ML workloads. The system includes 12 universal slots for 2.5″ and 3.5″ drives with support for SATA, SAS, and NVMe interfaces. All drives support hot swapping, ensuring high system availability.
In addition, there are two M.2 NVMe SSD slots with form factors 2280 and 22110 for system disks and caching. This configuration allows for optimal storage of the operating system, intermediate data, and working datasets.
NVMe support is critical for AI/ML tasks, as many algorithms require intensive reading of large amounts of training data. The high speed of data access directly affects the training time of models and the overall efficiency of the system.
Power Supply System
One of the key technical solutions is a powerful power supply system, which includes four 2200W or 3200W power supplies. This configuration provides sufficient power even for the most power-hungry GPU configurations with up to eight high-performance accelerators.
The system supports 3+1 or 2+2 redundancy schemes, ensuring continuous operation even if one or two power supplies fail. This is particularly important for critical AI/ML systems that operate 24/7.
The modular hot-swappable power supply architecture allows for maintenance without system downtime, minimizing the loss of valuable computing resources.
Expansion slots and connectivity
In addition to the eight GPU slots, the server provides additional expansion options: two full-height PCIe 5.0 x16 slots and one full-height PCIe 4.0 x8 slot. These slots can be used to install high-speed network cards, specialized accelerators, or additional storage controllers.
Optionally available 2 x 10GbE RJ45 network interfaces based on Intel X710, providing high-speed network connectivity. Such bandwidth is necessary for efficient work with cloud services, distributed model training and transfer of large datasets.
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Supported GPU Accelerators
The ITPOD-SY4108G-D12R-G4 server has been comprehensively tested and certified for compatibility with leading GPU accelerators from NVIDIA, including the most modern and powerful models.
NVIDIA H100 is a flagship accelerator for training large language models and complex neural networks. The Hopper architecture provides unprecedented performance for transformer models and supports the latest optimization techniques, including sparsification and mixed precision computing.
NVIDIA H200
The NVIDIA H200 is an advanced solution for AI, high-performance computing, and big data processing. It is based on the NVIDIA Hopper architecture and is the successor to the popular H100, offering improved performance for handling large AI models such as language models, generative AI, and scientific computing. The H200 GPU accelerator features 16,896 CUDA cores and 528 tensor cores, providing high performance for AI and data analytics tasks. In practical tests, the H200 shows up to 1.9 times higher performance compared to the H100.
NVIDIA L40S
The NVIDIA L40S is a versatile accelerator optimized for both AI computing and visualization tasks. This model is ideal for mixed workloads that include model training, inference, and rendering, making it a popular choice for research labs and studios.
NVIDIA A800 and A100
NVIDIA A800 and A100 are time-tested solutions for a wide range of AI/ML tasks. A100 remains the gold standard for training deep neural networks, providing an optimal balance of performance and cost. A800 provides tailored functionality for specific market requirements.
Expanding the ecosystem of supported accelerators, the server is also compatible with Sophgo solutions, specialized AI chips optimized for machine learning and neural computing tasks. Sophgo accelerators provide an alternative solution for organizations seeking technological independence and diversification of AI hardware suppliers. These chips demonstrate high efficiency in inference and model training tasks, offering a competitive performance-to-power ratio.
The maximum configuration allows you to install up to 8 A800, A100, H100, or L40S cards, providing immense computational power for the most ambitious AI projects. The specialized NVLink interconnects between GPUs enable high-speed data exchange, which is crucial for distributed training and complex multi-stage algorithms.
Applications
The ITPOD-SY4108G-D12R-G4 server demonstrates exceptional efficiency in a wide range of tasks that require high-performance computing. The system is optimized for training and inference of generative AI models, where the large amount of GPU memory and high interconnect bandwidth allow for efficient handling of models containing billions of parameters. From building advanced language models like GPT to complex multimodal architectures that combine text, images, and audio, the server provides the necessary processing power for breakthrough AI developments.
High-performance scientific computing is another important application area for the system. The eight-processor GPU configuration is well-suited for molecular modeling, climate simulations, financial simulations, and other HPC tasks that require massive parallel computing capabilities. The direct GPU-CPU connectivity architecture ensures optimal performance for numerical methods and complex mathematical algorithms.
Real-time big data analysis is the third key area of server usage. The GPU’s high performance in handling large data sets makes it ideal for real-time analytics, high-resolution video processing, time series analysis, and other BigData applications. The ability to simultaneously process multiple data streams using complex machine learning algorithms opens up new possibilities for digital transformation in enterprises.
Support and Service
ITPOD provides comprehensive technical support for the SY4108G-D12R-G4 server throughout its entire lifecycle. The base warranty is 3 years, with the option to extend up to 5 years in a 24×7 mode, providing peace of mind when operating expensive AI/ML systems.
The company maintains its own spare parts warehouses in Russia, Belarus, and Kazakhstan, ensuring that faulty components can be replaced the next business day. This is particularly important for high-performance GPU servers, where downtime can have a significant impact on the efficiency of expensive research and commercial projects.
Customers get 24/7 access to a self-service web portal, as well as remote technical support. ITPOD specialists provide advice on designing the architecture for specific AI/ML tasks, selecting optimal GPU configurations, and calculating energy efficiency and fault tolerance requirements.
GPU Cloud Prospects
The powerful server platform ITPOD-SY4108G-D12R-G4 becomes the technological basis for the next stage of development — the creation of a GPU Cloud cloud service.
ITGLOBAL.COM has unique competencies for deploying GPU Cloud. The company has 11 data centers in 9 countries and builds its infrastructure on the basis of ITPOD solutions. It provides synergy between the server manufacturer and the cloud provider.
GPU Cloud based on ITPOD-SY4108G-D12R-G4 servers from ITGLOBAL.COM provides customers with unique opportunities:
- flexible scaling from one to eight GPU cards depending on the project requirements
- access to the latest A800, A100, and H100 accelerators without capital investments
- predictable hourly pricing for actual resources used
- technical support for optimizing AI/ML projects
Of particular value is the ability to create powerful configurations using up to 8 A800/A100/H100 cards or up to 4 H200 cards as part of the ITGLOBAL.COM cloud service. Previously, such configurations were only available to large corporations and research centers with significant IT infrastructure budgets.
ITGLOBAL.COM’s cloud model is particularly relevant for startups, medium-sized companies, and research groups that need access to supercomputer resources for developing and testing AI solutions but are not ready to invest millions of AED in purchasing and maintaining their own GPU clusters.
The advantages of GPU Cloud from ITGLOBAL.COM include the geographical proximity of data centers, which minimizes delays, compliance with local legislation on personal data, 24/7 support in English, and flexible payment terms in various currencies. With years of experience working with corporate clients and a deep understanding of the market, ITGLOBAL.COM is a reliable partner for digital business transformation.
Conclusion
The ITPOD-SY4108G-D12R-G4 is a high-performance server designed for compute-intensive workloads. It is based on 5th generation Intel Xeon Scalable processors, supports up to eight GPU accelerators, and features an architecture optimized for demanding tasks. These characteristics allow the system to compete with other solutions in the high-performance computing segment.
The ability to create configurations with 8 A800/A100/H100 cards and combine them into a single computing environment opens up opportunities for the most ambitious AI projects. ITGLOBAL.COM is building its GPU Cloud service on the ITPOD-SY4108G-D12R-G4 servers, which provides broad access to advanced artificial intelligence technologies for organizations of all sizes, from startups to large corporations.
With growing demand for technological independence and the development of AI capabilities, the ITPOD-SY4108G-D12R-G4 server can be viewed as a strategic platform for organizations looking to strengthen their position in artificial intelligence and high-performance computing
ITPOD – high-performance servers for advanced computing and AI applications
About ITPOD
ITPOD is an international vendor and distributor of modern Enterprise IT solutions with a rich history and proven reputation. The company is part of the international ITGLOBAL.COM group and controls the entire production process, from manufacturing in mainland China to final delivery to the customer.
This approach guarantees stable product quality and compliance with the most stringent SLA. ITPOD servers are manufactured using new components from leading global manufacturers: Intel, AMD, Samsung, LSI, and Mellanox, ensuring reliability and compatibility with modern technologies.
The company provides comprehensive support for its solutions through its own service center and spare parts warehouses, which is critical for corporate customers working with critical AI/ML systems.
