GIGABYTE W773-ED0 Tower Workstation (Intel Xeon W)

The GIGABYTE W773-ED0 is a tower workstation platform engineered around the Intel Xeon W-3500 series processor family, delivering workstation-class single-socket compute performance in a floor-standing chassis. Built on the Intel W790 chipset, the platform supports Intel Xeon W-3500 processors with up to 60 cores, paired with eight DDR5 RDIMM/ECC memory slots capable of supporting high-capacity configurations suited to memory-intensive technical workloads. The system accommodates PCIe 5.0 expansion, enabling deployment of current-generation professional graphics and compute accelerator cards at full bandwidth.

The W773-ED0 is designed to support multi-GPU configurations, making it a capable platform for AI inference and training workloads at the engineering-seat level, as well as GPU-accelerated simulation, 3D rendering, and computational fluid dynamics. Its tower form factor allows flexible placement in lab, studio, or office environments without requiring rack infrastructure, while its internal expansion capacity supports multiple full-length, double-width discrete GPU or GPGPU cards. Storage flexibility is provided through multiple M.2 NVMe slots and SATA connectivity, allowing tiered storage configurations combining high-speed NVMe for active datasets with higher-capacity SATA drives for project storage.

Targeted at demanding engineering, scientific computing, and AI development workflows, the W773-ED0 occupies a position between high-end workstation desktops and rack-mounted servers. It brings server-grade memory reliability through ECC RDIMM support and Intel's Xeon platform stability, while offering the local-access convenience and lower infrastructure overhead of a tower form factor. Organizations deploying seats for computational scientists, ML engineers, VFX artists, or CAD/CAM specialists will find the platform well-suited to sustained, parallel compute tasks that benefit from Xeon W memory bandwidth and multi-slot GPU expansion.

Ideal for

• AI and machine learning model development and inference at engineering-seat scale using multi-GPU GPGPU accelerators
• High-end 3D rendering and visual effects production requiring sustained GPU compute across multiple professional graphics cards
• Mechanical and structural simulation using FEA and CFD software that benefits from high core counts and large ECC memory capacity
• CAD/CAM design and digital prototyping workflows demanding reliable ECC memory and certified professional GPU support
• Genomics, bioinformatics, and scientific data processing requiring multi-threaded Xeon W compute with large in-memory datasets
• On-premises AI inference server deployments where rack infrastructure is unavailable and tower form factor is operationally preferred

Technical specifications

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