Gigabyte G593-SD1 8x GPU Server with B200 SXM6 Tray (Bare)

The Gigabyte G593-SD1 is a purpose-built 5U GPU server designed to house eight NVIDIA B200 SXM6 accelerators, delivering an exceptionally dense compute platform for the most demanding AI training, inference, and HPC workloads. Built around NVIDIA's Blackwell architecture, the B200 SXM6 form factor provides direct high-bandwidth interconnect between GPUs via NVLink, enabling tightly coupled multi-GPU parallelism at the scale required for large language model training and scientific simulation. The bare tray configuration (G593-SD1-AAX1) ships without CPUs, memory, or storage, giving procurement teams and system integrators the flexibility to configure the platform precisely to infrastructure requirements.

The G593-SD1 is engineered for the NVL-class rack ecosystem, with a chassis architecture that accommodates the thermal and power demands of eight B200 SXM6 modules simultaneously. The SXM6 interface delivers substantially higher bandwidth between the GPU and host fabric than PCIe-based alternatives, making this platform well-suited to workloads where GPU-to-GPU and GPU-to-memory bandwidth are the primary performance constraints. The system supports high-speed networking integration, enabling direct connection to InfiniBand or high-performance Ethernet fabrics for distributed training and large-scale inference clusters.

As an enterprise-grade server offered through Omnixon Global, the G593-SD1 is available to organizations across the UAE, GCC, EMEA, and APAC regions. The platform targets AI research institutions, cloud service providers, financial services firms running quantitative models, and any enterprise constructing GPU compute clusters at scale. Its bare configuration makes it a natural foundation for hyperscaler-style build-out strategies where standardized, operator-configured nodes are preferred over fully pre-configured systems.

Ideal for

• Large language model (LLM) pre-training and fine-tuning across multi-node GPU clusters
• High-throughput AI inference serving for real-time enterprise applications requiring low-latency response
• Scientific and engineering simulation workloads including computational fluid dynamics and molecular dynamics at HPC scale
• Generative AI model development for image, video, and multimodal applications in research and commercial environments
• Financial services quantitative computing and risk modeling requiring dense parallel processing capacity
• Sovereign AI and national-scale datacenter build-out programs across GCC, EMEA, and APAC requiring configurable, high-density GPU nodes

Technical specifications

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