GIGABYTE G494-ZB4 GPU Server (AMD EPYC 9005, 4U)

The GIGABYTE G494-ZB4 is a 4U rack-mount server built around dual AMD EPYC 9005 series processors (codenamed Turin), representing the fifth generation of AMD's EPYC architecture with Zen 5 cores and up to 192 cores per socket. The platform delivers exceptional memory bandwidth and PCIe 5.0 lane density, providing the interconnect fabric necessary to feed multiple high-performance GPU accelerators simultaneously without bottlenecking AI training pipelines or large-scale simulation workloads. With support for DDR5 memory across 24 DIMM slots per system, the G494-ZB4 sustains the high-throughput memory access patterns characteristic of large language model training, generative AI inference, and computational fluid dynamics.

The chassis accommodates up to 8 dual-slot GPU or accelerator cards — such as NVIDIA H100, H200, or AMD Instinct MI300X — across full-length, full-height PCIe 5.0 x16 slots, making it an ideal node for dense AI compute clusters. The server's thermal design incorporates high-airflow hot-swap fans and optimized airflow channels to maintain sustained GPU and CPU thermals under continuous 100% utilization, critical for long-duration model training jobs. Dual 10GbE onboard management ports alongside high-speed NIC options ensure the platform integrates smoothly into InfiniBand or high-speed Ethernet fabric interconnects common in GPU clusters.

From a storage perspective, the G494-ZB4 provides NVMe U.2 and M.2 boot device support alongside multiple SATA/SAS bays for local dataset staging, reducing reliance on shared storage during training iterations. GIGABYTE's Server Management solution (GSM) and IPMI 2.0/Redfish-compliant BMC enable out-of-band lifecycle management, firmware orchestration, and integration with modern data center automation frameworks such as Ansible and Kubernetes-based orchestration stacks. The G494-ZB4 is a purpose-built platform for organizations scaling GPU compute density within standard 4U rack footprints.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring sustained multi-GPU parallelism across 8 accelerator cards
• High-performance computing clusters for computational fluid dynamics, molecular dynamics, and climate modeling simulations
• Generative AI inference at scale, leveraging dense GPU configurations for low-latency, high-throughput serving of foundation models
• Computer vision and deep learning pipelines for autonomous systems, medical imaging, and industrial inspection applications
• Financial services risk modeling and Monte Carlo simulations benefiting from EPYC 9005 core density and GPU-accelerated compute
• Sovereign AI data center deployments requiring a high-compute-density 4U node that integrates into standard enterprise rack infrastructure

Technical specifications

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