Gigabyte G482-Z56 Intel Gaudi 3 8-OAM Server

The Gigabyte G482-Z56 is a purpose-built 4U rack server engineered around eight Intel Gaudi 3 AI accelerators in OAM (Open Accelerator Module) form factor, delivering a dense, high-throughput compute platform for large-scale AI training and inference workloads. Each Intel Gaudi 3 OAM integrates 128 GB of HBM2e memory per full system allocation, with the accelerators interconnected via Intel's high-bandwidth scale-up fabric, enabling tightly coupled tensor parallelism without requiring external NVSwitch-class switching hardware. The platform is designed to meet the demands of enterprise datacenters deploying foundation model training, generative AI pipelines, and high-performance deep learning inference at scale.

From a system architecture standpoint, the G482-Z56 pairs its eight Gaudi 3 OAM accelerators with dual AMD EPYC processors, providing substantial host-side CPU compute, PCIe connectivity, and memory bandwidth to sustain the accelerator subsystem under continuous production workloads. The server supports high-capacity DDR5 system memory across multiple DIMM slots and includes enterprise-grade storage and networking options consistent with datacenter infrastructure requirements. Liquid cooling readiness and high-density power delivery are incorporated to address the thermal and power envelope demands of eight Gaudi 3 OAMs operating simultaneously in a shared chassis.

The G482-Z56 is validated for deployment in AI infrastructure stacks utilizing Intel's software ecosystem, including integration with PyTorch, TensorFlow, and the Intel Gaudi software suite. Its OAM module design aligns with Open Compute Project standards, supporting interoperability within heterogeneous datacenter environments. Enterprise IT teams and datacenter operators targeting cost-efficient, high-density AI acceleration will find the G482-Z56 positioned as a full-rack-scale building block for clusters serving large language model development, multimodal AI research, and production inference serving.

Ideal for

• Large language model (LLM) pre-training and fine-tuning across distributed multi-node GPU clusters requiring high aggregate HBM bandwidth and accelerator-to-accelerator interconnect throughput
• Generative AI inference serving for enterprise applications including text generation, code synthesis, and multimodal content pipelines demanding low-latency, high-batch-throughput acceleration
• Computer vision and deep learning model training for industries such as healthcare imaging, autonomous systems, and industrial inspection where dense floating-point and tensor compute are critical
• High-performance AI research environments in academic institutions, national laboratories, and enterprise R&D centers requiring scalable, standards-aligned OAM-based accelerator infrastructure
• Datacenter consolidation for AI workloads where a 4U server housing eight Gaudi 3 OAMs reduces rack footprint while delivering competitive aggregate compute density for mixed training and inference tasks
• Sovereign AI infrastructure deployments across EMEA and APAC regions where organizations require on-premises, enterprise-grade AI compute independent of public cloud providers

Technical specifications

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