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Tier One

Edge Servers

Purpose-built for extreme environments, edge data centers, and real-time decision making.

Rugged and edge servers are designed to deliver enterprise-grade performance in challenging conditions such as high temperatures, dusty locations, remote sites, and mobile deployments. These systems are built to withstand shock, vibration, and environmental stress while enabling critical applications like telecom networks, smart cities, defense, and retail edge AI.

Dell PowerEdge XR Series :

Engineered for harsh environments with maximum reliability.

  • XR11 / XR12: Short-depth servers powered by Intel Xeon CPUs and NVIDIA GPUs, with IP54/MIL-STD certifications. Ideal for retail, telecom base stations, and military field deployments.
  • XR4000 / XR8000: Modular, stackable edge servers designed for telecom, 5G vRAN, and distributed AI inference with NEBS compliance. Perfect for scaling compute at the edge.
Lenovo ThinkEdge Series :

Compact, secure, and optimized for IoT and AI.

  • SE350: Shock-resistant, Wi-Fi-enabled, GPU-ready compact server built for IoT, edge AI, and smart surveillance.
  • SE455 V3: Powered by AMD EPYC processors, this system supports GPU acceleration for real-time AI workloads such as autonomous vehicles, energy management, and predictive analytics.
Dell PowerEdge XR Series :

Engineered for harsh environments with maximum reliability.

  • XR11 / XR12: Short-depth servers powered by Intel Xeon CPUs and NVIDIA GPUs, with IP54/MIL-STD certifications. Ideal for retail, telecom base stations, and military field deployments.
  • XR4000 / XR8000: Modular, stackable edge servers designed for telecom, 5G vRAN, and distributed AI inference with NEBS compliance. Perfect for scaling compute at the edge.
Lenovo ThinkEdge Series :

Compact, secure, and optimized for IoT and AI.

  • SE350: Shock-resistant, Wi-Fi-enabled, GPU-ready compact server built for IoT, edge AI, and smart surveillance.
  • SE455 V3: Powered by AMD EPYC processors, this system supports GPU acceleration for real-time AI workloads such as autonomous vehicles, energy management, and predictive analytics.