Gigabyte G482-Z54 4x Gaudi 2 PCIe AI Server

The Gigabyte G482-Z54 is a 4U rackmount AI server engineered around four Intel Gaudi 2 PCIe accelerator cards, delivering a purpose-built platform for large-scale deep learning training and high-throughput inference workloads. Each Gaudi 2 accelerator integrates 96 GB of HBM2e memory and 24 on-die RDMA-capable 100 GbE ports, enabling low-latency, high-bandwidth scale-out communication directly between accelerators without reliance on a separate networking fabric. The server is designed to support AMD EPYC processors and provides substantial PCIe Gen 4 bandwidth to sustain the data movement demands of modern AI frameworks including PyTorch and TensorFlow via Intel's SynapseAI software stack.

As a dense 4U chassis, the G482-Z54 balances computational density with practical data center integration, supporting NVMe storage expansion, high-capacity DRAM, and redundant power infrastructure suited to always-on enterprise environments. The Gaudi 2 architecture employs a fully connected mesh of high-speed inter-chip links alongside the on-die Ethernet engines, making it viable for multi-node scale-out AI clusters without proprietary switching hardware. This open, Ethernet-based interconnect approach aligns with standard data center networking investments already in place across enterprise and hyperscale facilities.

Targeted at organizations deploying generative AI, large language model training, computer vision pipelines, and recommender system workloads, the G482-Z54 represents Gigabyte's collaboration with Intel to bring Gaudi 2 acceleration into a validated, production-grade server platform. It is available through Omnixon Global for enterprise buyers across the UAE, GCC, EMEA, and APAC regions, making it accessible to organizations building or expanding regional AI infrastructure.

Ideal for

• Large language model (LLM) pre-training and fine-tuning across multi-node GPU clusters using scale-out Ethernet interconnects
• High-throughput generative AI inference serving for enterprise NLP and content generation applications
• Deep learning training for computer vision models in healthcare imaging, manufacturing quality control, and autonomous systems
• Recommender system training for large-scale e-commerce and media streaming platforms requiring rapid iteration cycles
• Research and development AI experimentation environments in universities, national labs, and enterprise AI centers of excellence
• Scalable MLOps pipeline execution including distributed data preprocessing, model training, and batch inference orchestration

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.