Gigabyte G292-Z46-AAX1 AMD EPYC 4-GPU Accelerator Server

The Gigabyte G292-Z46-AAX1 is a 2U rackmount server engineered around the AMD EPYC 7002 series (Rome) processor platform, purpose-built to support up to four double-width GPU accelerator cards in a dense, high-throughput chassis. The system accommodates dual AMD EPYC processors across two CPU sockets, delivering substantial core counts and memory bandwidth that feed GPU workloads without creating a CPU-side bottleneck. The chassis integrates a high-bandwidth PCIe 4.0 fabric that connects the GPU slots directly to the processor complex, maximizing data transfer rates between host memory and accelerator memory for compute-intensive operations.

Designed for AI training, high-performance computing, and data analytics pipelines, the G292-Z46-AAX1 supports large DDR4 memory configurations across 16 DIMM slots, enabling in-memory datasets that reduce I/O latency during iterative model training and simulation workloads. The chassis front panel provides NVMe-capable storage bays for fast local scratch storage, while rear connectivity includes multiple high-speed network interface options compatible with standard enterprise 10/25/100GbE infrastructure. Redundant 80 PLUS Titanium-class power supplies maintain operational continuity under sustained full-system GPU load, and the hot-swap fan architecture supports serviceability without requiring full system shutdown.

The G292-Z46-AAX1 is positioned for deployment in enterprise datacenters, national research computing facilities, and cloud infrastructure nodes where GPU accelerator density per rack unit is a primary design constraint. Its compatibility with the AMD ROCm open software platform and standard HPC middleware stacks—alongside IPMI 2.0 and Redfish-based out-of-band management—makes it operable within existing enterprise IT operations frameworks without requiring bespoke management tooling.

Ideal for

• Deep learning model training using large-scale neural networks in computer vision, natural language processing, and recommendation systems
• High-performance computing simulations including computational fluid dynamics, molecular dynamics, and finite element analysis
• Enterprise AI inference at scale, serving low-latency predictions across GPU-accelerated inference clusters
• Data analytics and in-database acceleration for large structured and unstructured datasets requiring parallel processing
• Rendering and visualization workloads in media production, digital twin environments, and scientific visualization pipelines
• Government and research HPC cluster nodes requiring dense GPU compute within standard 2U rackmount footprint

Technical specifications

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