GIGABYTE showcases cooling and data centers at Supercomputing 2023.

November 13, 2023 by our News Team

GIGABYTE Technology's subsidiary, Giga Computing, is a leader in efficient IT hardware cooling and diverse server platforms, with a focus on Arm and x86 processors, AI accelerators, and the latest NVIDIA and AMD technologies, showcased at SC23. GIGABYTE Technology's subsidiary, Giga Computing, is a leader in efficient IT hardware cooling and diverse server platforms, showcasing the latest NVIDIA and AMD technologies at SC23.

  • GIGABYTE has introduced advanced cooling solutions that maintain optimal performance and improve energy efficiency.
  • GIGABYTE has been at the forefront of deploying modularized AI and HPC systems.
  • GIGABYTE offers servers that support NVIDIA H200 Tensor Core GPU with enhanced memory performance.

Gigabyte Technology’s subsidiary, Giga Computing, has established itself as a frontrunner in the field of efficient IT hardware cooling and diverse server platforms. With a focus on ARM and x86 processors, as well as AI accelerators, GIGABYTE continues to innovate in the industry. At SC23, GIGABYTE will be showcasing its standout platforms, including those designed for the nVidia GH200 Grace Hopper Superchip and next-gen AMD Instinct APU.

One of the key challenges faced by data centers today is the need to upgrade their cooling infrastructure to keep up with the increasing heat generated by new IT hardware. GIGABYTE has risen to this challenge by introducing advanced cooling solutions that not only maintain optimal performance but also improve energy efficiency. At SC23, GIGABYTE’s booth will feature the A1P0-EA0, a single-phase immersion tank that offers a comprehensive immersion cooling solution. GIGABYTE’s expertise in implementing immersion cooling has made them a global leader in this field. Another cooling solution on display will be direct Liquid Cooling (DLC), specifically the new GIGABYTE cold plates and cooling modules for various processors.

GIGABYTE has also been at the forefront of deploying modularized AI and HPC systems, with its GIGA PODs being used by leading cloud service providers. These turnkey solutions consist of eight racks with 32 GIGABYTE G593 nodes, totaling 256 NVIDIA H100 Tensor Core GPUs. This setup can achieve an impressive 1 exaflop of FP8 AI performance. At SC23, visitors can explore the G593-SD0 server, which is built for Intel Xeon and NVIDIA H100 GPUs. This platform was recently used by GIGABYTE for its MLPerf benchmark submission for testing AI workloads. Additionally, GIGABYTE will showcase high-density nodes equipped with Arm-based processors, NVMe drives, and NVIDIA BlueField-3 DPUs. The H263-V11 and H223-V10 models are designed for the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip, respectively. Finally, GIGABYTE will unveil its G383-R80 GPU server, purpose-built for the next-gen AMD Instinct APU, which shows great promise for AI workloads.

Scalable data center infrastructure is another area where GIGABYTE excels. The G493-SB0 is an NVIDIA-Certified system that supports NVIDIA L4 Tensor Core and L40 GPUs. It can accommodate eight PCIe Gen 5 GPUs and offers expansion slots for NVIDIA BlueField and ConnectX networking technologies. In the future, it will be officially recognized as an NVIDIA OVX system. Another notable addition is the XH23-VG0, which follows the NVIDIA MGX modular design and features a single NVIDIA Grace Hopper with FHFL expansion slots for accelerated AI and HPC applications on a large scale.

GIGABYTE’s enterprise computing solutions are known for their bold designs catering to specific workloads and markets. The S183-SH0 is a slim 1U form factor server with dual Intel Xeon processors and support for 32x E1.S form-factor solid-state drives, providing a fast and dense storage configuration. The H253-Z10 is a multi-node server with front access that also supports E1.S drives. For AI training or AI inference workloads, GIGABYTE offers the G293 GPU servers. The G293-Z43 is an inference specialist capable of supporting sixteen Alveo V70 accelerators with ample cooling provided by four GPU cages. Lastly, the G293-Z23 is an optimally priced GPU server that supports higher TDP CPUs and PCIe Gen 4 and Gen 5 GPUs like the NVIDIA L40S GPU.

During SC23, NVIDIA launched the NVIDIA H200 Tensor Core GPU with enhanced memory performance, and GIGABYTE is set to support this new GPU with upcoming server models. The H200 GPU offers game-changing performance and memory capabilities for generative AI and HPC workloads. As the first GPU with HBM3E, its faster and larger memory enables accelerated generative AI and LLMs, as well as advancements in scientific computing for HPC workloads. The NVIDIA HGX H200, the leading AI computing platform, features the H200 GPU for unparalleled performance. An eight-way HGX H200 configuration provides over 32 Petaflops of FP8 deep learning compute and 1.1 TB of high-bandwidth memory, making it the ultimate choice for generative AI and HPC applications.

GIGABYTE showcases cooling and data centers at Supercomputing 2023.

GIGABYTE showcases cooling and data centers at Supercomputing 2023.

GIGABYTE showcases cooling and data centers at Supercomputing 2023.

GIGABYTE showcases cooling and data centers at Supercomputing 2023.

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Our team comprises industry insiders with extensive experience in computers, semiconductors, games, and consumer electronics. With decades of collective experience, we’re committed to delivering timely, accurate, and engaging news content to our readers.

Background Information

About AMD: AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

AMD website  AMD LinkedIn

About ARM: ARM, originally known as Acorn RISC Machine, is a British semiconductor and software design company that specializes in creating energy-efficient microprocessors, system-on-chip (SoC) designs, and related technologies. Founded in 1990, ARM has become a important player in the global semiconductor industry and is widely recognized for its contributions to mobile computing, embedded systems, and Internet of Things (IoT) devices. ARM's microprocessor designs are based on the Reduced Instruction Set Computing (RISC) architecture, which prioritizes simplicity and efficiency in instruction execution. This approach has enabled ARM to produce highly efficient and power-saving processors that are used in a vast array of devices, ranging from smartphones and tablets to IoT devices, smart TVs, and more. The company does not manufacture its own chips but licenses its processor designs and intellectual property to a wide range of manufacturers, including Qualcomm, Apple, Samsung, and NVIDIA, who then integrate ARM's technology into their own SoCs. This licensing model has contributed to ARM's widespread adoption and influence across various industries.

ARM website  ARM LinkedIn

About Gigabyte: Gigabyte Technology, a important player in the computer hardware industry, has established itself as a leading provider of innovative solutions and products catering to the ever-evolving needs of modern computing. With a strong emphasis on quality, performance, and technology, Gigabyte has gained recognition for its wide array of computer products. These encompass motherboards, graphics cards, laptops, desktop PCs, monitors, and other components that are integral to building high-performance systems. for their reliability and advanced features, Gigabyte's motherboards and graphics cards have become staples in the gaming and enthusiast communities, delivering the power and capabilities required for immersive gaming experiences and resource-intensive applications

Gigabyte website  Gigabyte LinkedIn

About Intel: Intel Corporation, a global technology leader, is for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

Intel website  Intel LinkedIn

About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

nVidia website  nVidia LinkedIn

Technology Explained

APU: An APU, or Accelerated Processing Unit, is a type of processor that combines a CPU and a GPU on a single chip. This type of processor is becoming increasingly popular in the computer industry due to its ability to provide both computing and graphics processing power in a single package. APUs are used in a variety of applications, from gaming PCs to high-end workstations. They are also used in embedded systems, such as those found in smartphones and tablets. The combination of CPU and GPU on a single chip allows for more efficient power consumption and better performance than traditional CPUs. Additionally, APUs are often used in conjunction with other components, such as RAM and storage, to create powerful and efficient systems.

CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

HBM3E: HBM3E is the latest generation of high-bandwidth memory (HBM), a type of DRAM that is designed for artificial intelligence (AI) applications. HBM3E offers faster data transfer rates, higher density, and lower power consumption than previous HBM versions. HBM3E is developed by SK Hynix, a South Korean chipmaker, and is expected to enter mass production in 2024. HBM3E can achieve a speed of 1.15 TB/s and a capacity of 64 GB per stack. HBM3E is suitable for AI systems that require large amounts of data processing, such as deep learning, machine learning, and computer vision.

Liquid Cooling: Liquid cooling is a technology used to cool down computer components, such as processors, graphics cards, and other components that generate a lot of heat. It works by circulating a liquid coolant, such as water or a special coolant, through a series of pipes and radiators. The liquid absorbs the heat from the components and then dissipates it into the air. This technology is becoming increasingly popular in the computer industry due to its ability to provide more efficient cooling than traditional air cooling methods. Liquid cooling can also be used to overclock components, allowing them to run at higher speeds than their rated speeds. This technology is becoming increasingly popular in the gaming industry, as it allows gamers to get the most out of their hardware.

NVMe: Non-Volatile Memory Express (NVMe) is a newly developed technology that has been gaining traction in the computer industry. This technology is a standard interface which allows for high-speed storage and retrieval of data from solid state drives (SSDs). NVMe is designed to increase the speed of data transfers in storage systems by enabling a direct connection to PCI Express (PCIe) bus, resulting in significantly faster access times compared to traditional interface protocols such SSDs. NVMe is particularly useful for applications that require lightning-fast access to large amounts of high-value data. NVMe-based SSDs are being widely adopted in the computer industry and are being employed to power data centers, high-end workstations, and gaming machines to support lightning-fast data processing and retrieval, which unlocks possibilities for machine learning, real-time analytics, edge computing, and other cutting-edge applications. NVMe is proving to be an invaluable tool in the field of computing, offering immense

PCIe: PCIe (Peripheral Component Interconnect Express) is a high-speed serial computer expansion bus standard for connecting components such as graphics cards, sound cards, and network cards to a motherboard. It is the most widely used interface in the computer industry today, and is used in both desktop and laptop computers. PCIe is capable of providing up to 16 times the bandwidth of the older PCI standard, allowing for faster data transfer speeds and improved performance. It is also used in a variety of other applications, such as storage, networking, and communications. PCIe is an essential component of modern computing, and its applications are only expected to grow in the future.

Xeon: The Intel Xeon processor is a powerful and reliable processor used in many computer systems. It is a multi-core processor that is designed to handle multiple tasks simultaneously. It is used in servers, workstations, and high-end desktop computers. It is also used in many embedded systems, such as routers and switches. The Xeon processor is known for its high performance and scalability, making it a popular choice for many computer applications. It is also used in many cloud computing applications, as it is capable of handling large amounts of data and providing high levels of performance. The Xeon processor is also used in many scientific and engineering applications, as it is capable of handling complex calculations and simulations.

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