Gigabyte G293-Z44 8-GPU NVIDIA HGX H100 Ready Server

The Gigabyte G293-Z44 is a high-density 2U server purpose-built to host the NVIDIA HGX H100 SXM5 baseboard, delivering a validated eight-GPU configuration interconnected via NVLink 4.0 for full GPU-to-GPU peer bandwidth. Anchored by dual AMD EPYC 9004 series (Genoa) processors, the platform provides up to 192 physical cores alongside PCIe Gen 5.0 host connectivity and high-memory bandwidth to keep all eight H100 80GB SXM5 GPUs fully saturated during compute-intensive training runs. The tight CPU-GPU pairing through the HGX carrier architecture eliminates traditional discrete GPU bottlenecks, making the G293-Z44 a cohesive accelerated compute node rather than a general-purpose server with discrete add-in cards.

The G293-Z44 targets the most demanding AI workloads in production: pre-training and fine-tuning of large language models with hundreds of billions of parameters, diffusion-based generative image and video pipelines, and reinforcement learning from human feedback (RLHF) frameworks. NVLink 4.0 provides 900 GB/s bidirectional aggregate GPU interconnect bandwidth per node, enabling model-parallel and tensor-parallel training strategies that scale across all eight GPUs without CPU arbitration. Combined with high-bandwidth DDR5 system memory and PCIe Gen 5.0 fabric, the server supports concurrent high-throughput inference serving alongside batch training jobs typical in enterprise MLOps environments.

Gigabyte's validation of the HGX H100 SXM5 baseboard on this platform ensures compatibility with NVIDIA's NCCL, cuDNN, and TensorRT libraries out of the box, shortening the path from hardware procurement to productive model training. The chassis integrates a purpose-designed cooling architecture with high-static-pressure fans and optimized airflow channels to manage the full 700W TDP per H100 SXM5 GPU across all eight accelerators simultaneously. Rack-mount form factor, IPMI-compatible baseboard management, and redundant power supply support make the G293-Z44 a deployment-ready building block for GPU cluster fabric used in hyperscale AI infrastructure and enterprise AI factories.

Ideal for

• Pre-training transformer-based large language models exceeding 70 billion parameters using tensor and pipeline parallelism across all eight NVLink-connected H100 GPUs
• Enterprise generative AI inference serving with multi-instance GPU (MIG) partitioning on H100 SXM5, supporting simultaneous multi-tenant LLM API endpoints at scale
• Diffusion model training for high-resolution image and video synthesis applications in media, entertainment, and creative enterprise workflows
• Reinforcement learning from human feedback (RLHF) pipelines requiring rapid reward model iteration and policy gradient optimization across dense GPU memory
• Scientific computing and computational fluid dynamics simulations leveraging H100's FP64 Tensor Core throughput for high-fidelity numerical modeling
• Financial services AI risk modeling and real-time fraud detection using GPU-accelerated gradient boosting and deep neural network ensembles requiring sustained FP16/BF16 throughput

Technical specifications

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