Giga Computing Announces New Server Built on NVIDIA GB200 NVL4 Platform

Giga Computing, a subsidiary of GIGABYTE and a leader in high-performance computing and data center solutions, announced the launch of its next-generation AI and HPC server, GIGABYTE <a href="https://www.gigabyte.com/Enterprise/MGX-Server/XN24-VC0-LA61" target="_blank" rel="noopener noreferrer">XN24-VC0-LA61</a>, powered by the <a href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/" target="_blank" rel="noopener noreferrer">NVIDIA GB200 NVL4 platform</a>. Purpose-built for its heterogeneous architecture of CPU and GPU, the system will make its debut at SCA/HPC Asia 2026 in Osaka, Japan, showcasing Giga Computing’s latest innovation in accelerated computing with liquid cooling technologies.
The XN24 server has been selected for the RIKEN Center for Computational Science (R-CCS) next-generation HPC-Quantum hybrid platform. The new platform integrates GIGABYTE servers into the development of FugakuNEXT, the eventual successor to Japan’s flagship supercomputer, Fugaku. This integration will use the NVIDIA CUDA-Q platform to support the development of hybrid quantum-GPU supercomputing systems and research into advanced scientific applications that bridge quantum and traditional high-performance computing.
Learn more about <a href="https://www.gigabyte.com/Article/supporting-jhpc-quantum-project-with-a-... target="_blank" rel="noopener noreferrer">RIKEN’s Quantum–HPC Convergence Platform</a>
Beyond the XN24, Giga Computing is also demonstrating a comprehensive deployment portfolio at the event—ranging from enterprise-grade AI infrastructure to rack-scale data center solutions—underscoring its role as a pivotal hardware provider for global high-end scientific computing data centers.
Liquid-Cooled: Accelerated Computing
The GIGABYTE XN24-VC0-LA61 is a NVIDIA Grace Blackwell server platform based on <a href="https://www.nvidia.com/en-us/data-center/products/mgx/" target="_blank" rel="noopener noreferrer">NVIDIA MGX</a> modular architecture. Featuring a 2U dual-processor design, it incorporates Direct Liquid Cooling (DLC) technology. Designed for modular scalability, the XN24 offers a flexible alternative for organizations to deploy <a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architec... target="_blank" rel="noopener noreferrer">NVIDIA Blackwell</a>-class computing power without the immediate requirement of a full rack-scale infrastructure. It provides a core foundation for building scalable, high-efficient AI infrastructure.
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<li>Extreme Computing Density: Powered by NVIDIA GB200 NVL4, the system integrates two <a href="https://www.nvidia.com/en-us/data-center/grace-cpu-superchip/" target="_blank" rel="noopener noreferrer">NVIDIA Grace CPUs</a> based on the Arm architecture and four NVIDIA Blackwell GPUs. Each Superchip is equipped with 480GB of LPDDR5X ECC CPU memory, while the GPU provides up to 186GB of HBM3E memory, significantly accelerating scientific simulations, Large Language Model (LLM) training, and high-throughput inference tasks.</li>
<li>High-Speed Network Integration: The system supports the NVIDIA <a href="https://www.nvidia.com/en-us/networking/products/infiniband/quantum-x800/" target="_blank" rel="noopener noreferrer">Quantum-X800</a> InfiniBand or <a href="https://www.nvidia.com/en-us/networking/spectrumx/" target="_blank" rel="noopener noreferrer">Spectrum-X</a> Ethernet platform with 800Gb/s InfiniBand or 400Gb/s Ethernet per port, utilizing <a href="https://www.nvidia.com/en-us/networking/products/ethernet/supernic/" target="_blank" rel="noopener noreferrer">NVIDIA ConnectX-8 SuperNIC</a> solutions to ensure low-latency, high-bandwidth communication across multi-node clusters.</li>
<li>Flexible Storage and Expansion: It offers up to twelve PCIe Gen5 NVMe drive bays and supports optional DPUs (data processing units), such as NVIDIA BlueField, for hardware-accelerated offloading of compute and security tasks. The system is also equipped with 80 PLUS Titanium redundant power supplies to ensure efficient and stable data center operations.</li>
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Comprehensive AI and HPC Portfolio at SCA/HPC Asia
Giga Computing is showcasing a full spectrum of solutions across GPU-accelerated, Arm, and x86 architectures:
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<li><a href="https://www.gigabyte.com/Solutions/giga-pod-as-a-service#tab-dlc" target="_blank" rel="noopener noreferrer">GIGAPOD</a>: Rack-Scale AI Solution: A customizable rack-scale solution integrating 32 GIGABYTE GPU servers with optimized networking and storage. The featured G4L3 series is based on <a href="https://www.nvidia.com/en-us/data-center/hgx/" target="_blank" rel="noopener noreferrer">NVIDIA HGX</a> platform, supporting Intel® Xeon® processors and designed for AI factories and intensive LLM workloads.</li>
<li><a href="https://www.gigabyte.com/Enterprise/MGX-Server/XL44-SX2-AAS1" target="_blank" rel="noopener noreferrer">XL44-SX2-AAS1</a> built on NVIDIA MGX Platform: An air-cooled modular server ideal for enterprise AI training, inference, and visual computing. It supports dual Intel® Xeon® processors, up to eight <a href="https://www.nvidia.com/en-us/products/workstations/professional-desktop-... target="_blank" rel="noopener noreferrer">NVIDIA RTX PRO 6000 Blackwell</a>, one <a href="https://www.nvidia.com/en-us/networking/products/data-processing-unit/" target="_blank" rel="noopener noreferrer">NVIDIA BlueField-3 DPU</a>, and four NVIDIA ConnectX-8 SuperNICs.</li>
<li>AMD EPYC™ Compute Nodes <a href="https://www.gigabyte.com/Enterprise/Data-Center/TO25-ZU4-AA01-rev-3x" target="_blank" rel="noopener noreferrer">TO25-ZU4</a> & <a href="https://www.gigabyte.com/Enterprise/Data-Center/TO25-ZU5-AA01-rev-3x" target="_blank" rel="noopener noreferrer">TO25-ZU5</a>: Compliant with OCP ORV3 (Open Rack v3) standards, these nodes use AMD EPYC™ 9005/9004 series processors. Designed for hyperscale data centers and Cloud Service Providers (CSPs), they offer exceptional scalability with E1.S SSD support and flexible PCIe Gen5 NVMe configurations.</li>
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Giga Computing will host the "Giga Computing AI/HPC Partner Seminar" on January 28, 2026, at the Osaka International Convention Center (Room 803). Together with ecosystem partners in processors, storage, and HPC, we will discuss deployment experiences and future industry trends.
SCA/HPC Asia 2026 | GIGABYTE Booth G-7
Exhibition Venue: Osaka International Convention Center, Japan Date: January 27 (Tue) – January 29 (Thu) SCA/HPC Asia Official Registration: <a href="https://www.sca-hpcasia2026.jp/registration.html" target="_blank" rel="noopener noreferrer">Register Here</a>
For queries or more information, please <a href="https://www.gigacomputing.com/en/contact/" target="_blank" rel="noopener noreferrer">contact sales</a>.