Gigabyte G293-Z43-AAX3 AMD EPYC GPU Server Node

The Gigabyte G293-Z43-AAX3 is a 2U AMD EPYC-powered GPU server node engineered for high-density compute workloads in modern datacenters and AI infrastructure environments. Built around AMD's EPYC processor platform, the system is optimized to support multiple high-performance GPUs in a dense rack form factor, enabling organizations to deploy scalable AI training, inferencing, and HPC workloads within constrained physical footprints. The G293-Z43-AAX3 leverages PCIe Gen 4 connectivity to maximize bandwidth between the host CPU and accelerator cards, ensuring data-intensive workloads are not bottlenecked at the I/O layer.

The node is designed to accommodate enterprise-grade accelerators and supports large memory configurations to meet the demands of deep learning model training, simulation workloads, and parallel scientific computing. Its dual-socket AMD EPYC architecture delivers a high core count alongside substantial memory bandwidth, making it well suited for workloads that require simultaneous CPU and GPU compute cycles. Rear-accessible PCIe slots, redundant power supply units, and hot-swap storage bays reflect the operational reliability requirements of production datacenter deployments.

The G293-Z43-AAX3 targets enterprise IT teams, cloud service providers, and research institutions in regions including the UAE, GCC, EMEA, and APAC that are building or expanding GPU compute clusters. Its 2U chassis design supports high-density rack configurations, helping operators maximize compute density per rack unit. The system integrates Gigabyte's server management infrastructure, supporting out-of-band management through a dedicated BMC interface for remote monitoring, provisioning, and lifecycle management across distributed datacenter environments.

Ideal for

• Large-scale deep learning model training using multi-GPU accelerator configurations for AI research and enterprise ML pipelines
• High-performance inferencing deployments where low-latency GPU response is required at production scale in cloud or on-premises environments
• High-performance computing (HPC) simulations in scientific research, computational fluid dynamics, and molecular modeling workloads
• GPU-accelerated data analytics and parallel processing for large enterprise datasets requiring simultaneous CPU and GPU compute resources
• AI infrastructure build-out for cloud service providers and colocation operators in the GCC, EMEA, and APAC regions requiring dense, rack-scalable GPU nodes
• Rendering farms and visualization workloads in media, engineering, and design enterprises requiring sustained GPU throughput in a managed datacenter environment

Technical specifications

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