This enterprise-level 8U GPU server is designed for teams working with heavy processing tasks across AI training, HPC projects, data analysis and clustered compute operations. The G894-AD3-AAX7 supports dual socket Intel Xeon 6900 series processors, works with eight GPUs through the NVIDIA HGX B300 platform and offers strong networking and storage capability. Its structure provides steady output, room for future growth and dependable performance for research facilities and AI-focused environments.
Core Architecture and Compute Performance
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Dual Intel Xeon 6900-series Processors: The server supports two LGA 7529 sockets, each accommodating a high-TDP CPU (up to 500 W). This dual-socket configuration ensures ample CPU compute for tasks such as data pre- and post-processing, host-side workloads, orchestration, and multi-GPU coordination.
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24-Slot DDR5 Memory Support: With 24 DIMM slots (12 per CPU) and 12-channel architecture per processor, the server handles DDR5 RDIMM or MRDIMM memory. Supported speeds include up to 6400 MT/s for RDIMM, and higher for MRDIMM (subject to CPU type). This configuration supports heavy memory workloads such as large dataset manipulation, large batch processing, and data-intensive applications.
This architectural foundation ensures that both CPU-bound tasks and memory-heavy workflows run smoothly alongside GPU compute.
GPU Density and GPU-to-GPU Interconnect
One of the standout features of G894-AD3-AAX7 is support for NVIDIA HGX B300:
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The server can house 8 GPUs in SXM form factor through HGX B300, providing a high-density GPU cluster in a single 8U chassis.
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High-bandwidth GPU interconnect, GPU-to-GPU bandwidth is rated up to 1.8 TB/s using NVIDIA NVLink + NVIDIA NVSwitch. This ensures fast data exchange between GPUs, critical for parallel compute tasks, large model training, multi-GPU workloads, and distributed GPU computing.
This combination of GPU density and interconnect bandwidth makes the server especially suitable for deep learning training, multi-GPU computation, HPC, simulation, and other GPU-heavy tasks.
Storage, I/O and Networking
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NVMe-first storage configuration: The server offers 8 front hot-swap bays for 2.5" Gen5 NVMe drives, enabling high-speed storage for datasets, scratch space, model data, and high IOPS workloads.
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Internal M.2 slots: Two M.2 slots (supporting 2280/22110) for OS or boot drives, maintaining separation between system and workload storage.
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PCIe Expansion: 4 × FHHL PCIe Gen5 ×16 slots (via bridge board) allow for additional expansion such as DPUs, networking cards, storage controllers or future accelerators.
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Networking & GPU-Network Fabric: Onboard NVIDIA ConnectX‑8 SuperNIC provides 8 × 800 Gb/s OSFP InfiniBand XDR or dual 400 Gb/s Ethernet ports for high-bandwidth GPU networking, ideal for cluster communication, distributed training, HPC interconnect, or multi-node environments.
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Management and Connectivity: Front I/O includes USB ports, VGA, RJ45, management LAN, status LEDs, and control buttons for easy access. Rear I/O includes the high-speed networking ports. Integrated BMC uses an ASPEED controller for remote management. TPM-header is available for optional TPM-based security.
This layout ensures the server remains flexible for a wide variety of workloads, from standalone GPU-heavy tasks to multi-node cluster deployments.
Power, Cooling and Reliability
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Redundant High-Capacity Power: The system uses twelve 3000 W 80 PLUS Titanium-rated redundant power supplies, catering to high-power latest GPUs and ensuring stable delivery under full load.
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Cooling Design: Dedicated fan modules for the motherboard, GPU tray, PCIe slots, and network interfaces maintain airflow across all zones. The layout is designed to keep high-performance GPUs cooled even under sustained load.
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Enterprise-Grade Reliability: The redundant power supplies, robust cooling, enterprise-grade networking, and remote management features make the server suitable for continuous operation in data centres or production deployments.
Ideal Use Cases
The G894-AD3-AAX7 fits a wide range of use cases where compute density, GPU performance, memory and storage speed matter. Some of the best use cases include:
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Large-scale AI model training and inference (deep learning, generative AI, large language models)
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High-performance computing workflows and scientific simulation workloads
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Multi-GPU compute clusters or distributed GPU-based compute farms
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Data analytics pipelines that combine GPU compute, high memory, and fast storage
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GPU-accelerated virtualization or GPU-enabled virtual desktops
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Research labs, imaging, rendering, simulation environments, and data-centre AI infrastructure
Why G894-AD3-AAX7 Matters
In many enterprise AI and HPC deployments, the challenge is to balance GPU density, CPU support, memory size, storage speed, networking bandwidth, and manageability — all within a manageable chassis. The G894-AD3-AAX7 successfully combines all these elements.
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It packs eight powerful GPUs within a single 8U chassis while keeping the system modular.
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Dual-socket CPU support and large memory capacity provide strong host and data handling capabilities alongside GPU compute.
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High-speed NVMe storage and modern PCIe Gen5 connectivity offer flexibility for storage, expansion, and future upgrades.
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Enterprise-grade networking with InfiniBand/Ethernet via ConnectX-8 supports cluster workloads, distributed training, multi-node compute, and high-bandwidth data transfer.
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Redundant power supplies and active cooling ensure stability, reliability, and consistent performance under load.
This server becomes a comprehensive building block for AI clusters, HPC centers, research institutions, and enterprise compute infrastructures.
Conclusion
The GIGABYTE G894-AD3-AAX7 stands out as a powerful, flexible and enterprise-ready GPU server platform. Its blend of dual-socket CPU support, GPU density via NVIDIA HGX B300, high-speed memory and storage, modern networking and robust power/cooling makes it a strong candidate for any serious AI, HPC or data-intensive environment.
If your organization is preparing for GPU-accelerated workloads, large AI training jobs, distributed compute clusters, or high-throughput data applications, the G894-AD3-AAX7 provides a solid foundation to build on. Explore more collections at Saitech Inc.
