GS1-N2 AI Network Video Recorder

The Cluster Server GS1N2 is a high-performance, scalable server solution designed for demanding computational workloads like AI, cloud computing, and data centers. Below is a detailed description based on its key features, specifications, and applications:

Overview

The GS1N2 is part of cluster server series, built to deliver exceptional density, flexibility, and efficiency. It targets enterprises needing scalable infrastructure for AI training, edge computing, virtualization, and large-scale data processing.

Key Features

1. High-Density Modular Design:

   • Supports 4 independent computing nodes in a compact 2U chassis, maximizing resource utilization and reducing physical footprint.

   • Each node operates autonomously, enabling parallel processing and fault isolation.

2. Powerful Processing:

   • Dual-socket CPUs per node (supports Intel® Xeon® Scalable or AMD EPYC™ processors).

   • High core counts (e.g., up to 64 cores/128 threads per node) for intensive multitasking.

3. Massive Memory & Storage:

   • Memory: Up to 2TB DDR4 ECC RAM per node (via 16 DIMM slots).

   • Storage:

     • Front-accessible hot-swap bays for SATA/SAS HDDs or NVMe SSDs.

     • Supports RAID configurations for data redundancy.

     • Optional M.2 slots for boot drives.

4. GPU Acceleration:

   • Dedicated PCIe slots for multiple high-end GPUs (e.g., NVIDIA A100, RTX 6000 Ada) per node.

   • Optimized for AI/ML training, rendering, and scientific simulations.

5. High-Speed Networking:

   • Dual 10GbE LAN ports per node (with optional 25/100GbE upgrades).

   • OCP (Open Compute Project) NIC support for flexible connectivity.

6. Efficient Cooling & Power:

   • Redundant 80 PLUS Platinum PSUs (e.g., 2000W) with hot-swap capability.

   • Intelligent cooling with optimized airflow to handle high thermal loads.

7. Management & Security:

   • IPMI 2.0 remote management for monitoring, diagnostics, and KVM-over-IP.

   • Trusted Platform Module (TPM) for hardware encryption.

Use Cases

• AI/Deep Learning:
  GPU-accelerated model training and inference.

• Cloud & Virtualization:
  High-density virtualization for multi-tenant environments.

• Edge Computing:
  Compact deployment for real-time data processing (e.g., smart factories, IoT).

• HPC Clusters:
  Scientific simulations, financial modeling, or genomic analysis.

• Media Rendering:
  4K/8K video processing and 3D rendering farms.

Advantages

• Scalability: Seamlessly add nodes to expand compute/storage.

• Cost Efficiency: Reduced space/power vs. traditional servers.

• Reliability: Redundant components (PSUs, cooling) minimize downtime.

• Eco-Friendly: Energy-efficient design lowers operational costs.

Accessories & Customization

• Optional GPU brackets, RAID controllers, or NVMe adapters.

• Rack-mount kits and cable management solutions.

• Custom BIOS/UEFI configurations for specialized workloads.