Gigabyte Introduces Powerful Gigapod System for AI Clusters and Blade Servers

Gigabyte has announced a powerful Gigapod system for creating GPU clusters designed for resource-intensive AI and HPC tasks. In addition, the B343-C40 family of blade servers and other enterprise-class solutions are presented.

Gigapod is a rack equipped with GPU servers and other necessary components. In particular, G893 and G4L3 series servers with air and liquid cooling, as well as flexible options in terms of CPU and GPU selection, can be used.

For example, the G893-ZX1-AAX2 model allows for the installation of two AMD EPYC 9005 Turin or EPYC 9004 Genoa processors, 24 DDR5-6000 RAM modules, eight SFF NVMe drives, two M.2 2280/22110 SSDs, etc. The system is equipped with eight AMD Instinct MI325X AI accelerators. Power is provided by 12 3000 W power supplies with 80 PLUS Titanium certification.

Gigapod systems come in a variety of five- and nine-rack configurations: 9×42U, 9×48U, 9×44OU, and 5×48U. They can accommodate a variety of AI accelerators, including NVIDIA B200, NVIDIA H200, NVIDIA H100, AMD Instinct MI300, and Intel Gaudi 3. The maximum configuration combines 32 GPU nodes for a total of 256 AI accelerators. Customers can choose direct liquid cooling (DLC). NVIDIA BlueField-3 DPUs and NVIDIA ConnectX-7 adapters are also reportedly supported.

The blade server family includes, in particular, the B343-C40-AAJ1 model: this is a 10-node system in a 3U form factor. The nodes can be equipped with one AMD EPYC 4004 or Ryzen 7000/9000 processor. The configuration of each node includes four slots for DDR5 modules, two seats for SFF drives (NVMe or SATA), two 1GbE network ports, an M.2 slot, and a slot for a PCIe 5.0 x16 FHHL card.

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