GIGABYTE G893-ZD1-AAX5

Datacenter

GIGABYTE G893-ZD1-AAX5

NVIDIA HGX™ B200 8-GPU 1,800GB/s GPU-to-GPU bandwidth with NVIDIA® NVLink™ and NVSwitch™ Dual AMD EPYC™ 9005/9004 Series Processors 12-Channel DDR5 RDIMM, 24 x DIMMs 2 x M.2 slots with PCIe Gen3 x4 and x1 interface

$388,226.32

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New AMD EPYC™ Family of Processors

The SP5 socket has reached its pinnacle form with 5th Generation AMD EPYC™ processors. The same successful platform that was shared by AMD EPYC™ 9004 & 8004 series processors is now the same one for AMD EPYC™ 9005 series processors. With up to 192 cores, increased frequencies and cache, this top tier performance platform targets general purpose, cloud native, and technical computing. Building on the advantages of the EPYC™ 9004 series, the new EPYC™ 9005 series adopts the 3nm process with AMD “Zen5” and “Zen5c” core architecture, excelling in both energy efficiency and cost optimization. GIGABYTE has already prepared for this new processor with new servers and updates to existing products for 4th Gen AMD EPYC™ processors.

Supports NVIDIA HGX™ B200 8-GPU

The NVIDIA HGX™ B200 propels the data center into a new era of accelerating computing and generative AI, integrating NVIDIA Blackwell Tensor Core GPUs with a high-speed interconnect to accelerate AI performance at scale. Configurations of eight GPUs deliver unparalleled generative AI acceleration alongside a remarkable 1.4 terabytes (TB) of GPU memory and 64 terabytes per second (TB/s) of memory bandwidth for 15X faster real-time trillion-parameter-model inference, 12X lower cost, and 12X less energy. This extraordinary combination positions HGX B200 as a premier accelerated x86 scale-up platform designed for the most demanding generative AI, data analytics, and high-performance computing (HPC) workloads. HGX B200 supports advanced networking options—at speeds up to 400 gigabits per second (Gb/s)—delivering the highest AI performance with NVIDIA Quantum-2 InfiniBand and the Spectrum™-X Ethernet platform. HGX B200 with NVIDIA® BlueField®-3 data processing units (DPUs) enable cloud networking, composable storage, zero-trust security, and GPU compute elasticity in hyperscale AI clouds.

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