Core Features & Technical Specifications

Form Factor & Expandability:
4U Rackmount Design: Optimized for data center deployment, maximizing space utilization while delivering maximum performance.
8x Dual-Width GPU Slots: Supports up to 8 high-performance GPU cards (e.g., NVIDIA H100, A100, or equivalent), ideal for parallel processing in AI/ML workflows.
11x PCIe 5.0 Slots: Future-proof expansion with Gen 5.0 connectivity, enabling seamless integration of additional accelerators, NICs, or storage controllers.
CPU Compatibility: Supports Intel? 4th/5th Generation Xeon? Scalable Processors (up to 28-core models), delivering balanced compute and I/O performance.

Memory & Storage:
8x 2.5-inch SATA HDD/SSD bays (NVMe SSD compatible), supporting high-speed data access and large dataset storage.
Optional NVMe over Fabrics (NVMe-oF) integration for low-latency storage networking.
32x DDR5 ECC DIMM Slots: Up to 4TB of error-corrected memory, ensuring data integrity and stability for mission-critical applications.

Flexible Storage Options:
Power & Cooling:
Hot-Swap Redundant Power Supplies: 1300W/1600W/2000W options (1+1 redundancy), supporting 80 PLUS Titanium efficiency for energy savings and reliability.
Advanced Cooling System: Equipped with high-efficiency fans and thermal sensors, ensuring optimal airflow and temperature control even under heavy workloads. Hot-swappable fans enable easy maintenance without downtime.

Ease of Use & Maintenance:
Tool-Free Design: Quick-access side panels and tool-free latches for fast hardware installation/upgrades.
Front-Panel Indicators: Real-time status monitoring (power, temperature, GPU activity) via intuitive LED displays.
Rear I/O & Cable Management: Organized routing for PCIe, power, and network cables, reducing clutter and improving airflow efficiency.

Основные моменты

AI-Optimized Performance:
Combines high-bandwidth PCIe 5.0, DDR5 memory, and multi-GPU scalability to accelerate training times for deep learning models (e.g., vision recognition, natural language processing).
Supports distributed computing frameworks (e.g., TensorFlow, PyTorch) for seamless parallel processing.

Future-Proof Scalability:
11 PCIe 5.0 slots and 8 GPU slots future-proof your infrastructure as AI/ML workloads evolve, allowing incremental upgrades without hardware replacement.
Modular design accommodates evolving storage and networking technologies (e.g., 400Gbps Ethernet, InfiniBand).

Reliability & Uptime:
Redundant power and cooling systems minimize single points of failure, ideal for 24/7 operation in data centers.
ECC memory and robust thermal management ensure data accuracy and long-term hardware stability.

Cost-Effective Deployment:
Tool-free design and hot-swappable components reduce maintenance time and labor costs.
Energy-efficient power supplies and optimized airflow lower operational expenses without compromising performance.

Target Applications

AI training/research labs
High-performance computing (HPC) clusters
Enterprise data analytics and machine learning platforms
Cloud computing and edge AI infrastructure
Financial modeling, scientific simulations, and big data processing