GIGABYTE G292-Z45 4U GPU Server with 8x L40S PCIe

The GIGABYTE G292-Z45 (part number G292-Z45-AAX1) is a 4U rack-mounted GPU server engineered around the AMD EPYC processor platform and configured to support up to eight NVIDIA L40S PCIe graphics accelerators. Built on an architecture optimized for dense AI and compute workloads, the system pairs high-memory-bandwidth GPU resources with PCIe 4.0 connectivity, enabling parallel inference and training pipelines at enterprise scale. The L40S accelerators each deliver 48 GB of GDDR6 memory and support NVIDIA Ada Lovelace architecture features including third-generation RT Cores and fourth-generation Tensor Cores, making the platform well-suited for mixed precision and FP8 training regimes.

The G292-Z45 chassis is designed to balance thermal performance with rack density, incorporating a high-airflow cooling architecture that sustains GPU Thermal Design Power envelopes across all eight accelerator slots under sustained workloads. The platform supports dual AMD EPYC processors, providing a high core count CPU subsystem capable of feeding data to the GPU array without becoming a bottleneck in memory-intensive preprocessing or postprocessing stages. Multiple DDR4 DIMM slots accommodate large system memory configurations to support in-memory datasets and large-model inference contexts.

Targeted at datacenter operators, cloud service builders, and enterprise AI infrastructure teams across the UAE, GCC, EMEA, and APAC regions, the G292-Z45 is positioned for organizations requiring high GPU-to-rack-unit density without sacrificing manageability. The system supports IPMI-based out-of-band management and is compatible with standard datacenter power and cooling infrastructure, simplifying integration into existing enterprise environments. Its dual 10GbE and optional high-speed network expansion slots allow flexible connectivity to storage and fabric backends typical of modern AI and HPC cluster deployments.

Ideal for

• Large-scale generative AI model training and fine-tuning using multi-GPU parallelism across eight NVIDIA L40S Ada Lovelace accelerators
• High-throughput AI inference serving for natural language processing, image recognition, and recommendation systems requiring low-latency GPU response
• 3D rendering, real-time ray tracing, and visual computing workloads in media, simulation, and digital twin production pipelines
• Scientific computing and HPC simulation tasks that leverage GPU-accelerated solvers in fields such as computational fluid dynamics and molecular dynamics
• Enterprise MLOps pipelines requiring a dense on-premises GPU cluster node that integrates with Kubernetes-based orchestration and containerized workload management
• Video transcoding, streaming analytics, and AI-driven media processing at scale for broadcast, surveillance, and content delivery infrastructure

Technical specifications

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