Powering AI Innovation with GPU-Ready Workstations and Servers - Lanner Electronics | Network Appliance | uCPE SD-WAN| MEC Server | Intelligent Edge Appliance

AI workloads are becoming more diverse, from video language models (VLMs) running on compact systems to large language models (LLMs) requiring high-performance multi-GPU servers. To meet these varied needs, organizations require flexible and scalable hardware. Lanner delivers a comprehensive lineup of workstations and GPU servers, supporting GPUs from NVIDIA, AMD, Intel, and Qualcomm, designed to handle inference, training, and generative AI workloads efficiently.

Scalable Solutions for Any Deployment

Lanner offers a comprehensive portfolio of GPU-ready platforms, ranging from rugged edge workstations to high-density 1U and 2U GPU servers. Purpose-built for scalability, these systems support workloads from real-time edge inferencing to large-scale AI model training.

• Edge AI Workstation – EAI Series: Rugged appliances purpose-built for edge computing, industrial AI, and workstation environments. They support workstation-class GPUs ranging from 75W to 350W, delivering reliable performance in demanding conditions.
• GPU Servers – ECA Series: High-performance, high-density GPU servers engineered for maximum scalability. Each server supports multiple GPUs with power capacities from 350W up to 600W per slot, enabling intensive AI training, inferencing, and high-throughput workloads.

Each system is engineered for scalability, offering various GPU slot configurations and power budgets to fit your application.

Multi-Vendor GPU Compatibility

Lanner Edge AI platforms can support GPUs from multiple vendors. This allows enterprises to select GPUs based on power, memory, and workload requirements, enabling flexible deployment strategies.

	GPU Slot	GPU Type	NVIDIA	AMD	Intel	Qualcomm
EAI-i731	75W x1	DC-Type; WS-Type	L4 RTX 200 Ada	--	--	AI100 Pro
EAI-i730	350W x2	DC-Type; WS-Type	L4, A10 RTX 6000 Ada RTX 5000 Ada RTX 4500 Ada RTX 4000 Ada	MI210 W7900 R9700	B60 (B SKU)	AI100 Ultra
ECA-5540	350W x1; 75W x2	DC-Type	L4, L40s	MI210	B60 (C SKU)	AI100 Ultra
ECA-6040	350W x2	DC-Type	L4, L40s	MI210	B60 (C SKU)	AI100 Ultra
ECA-6050	600W x2	DC-Type	L40s RTX PRO 6000 H200 AVL	MI210	B60 (C SKU)	AI100 Ultra
ECA-6051	350W x2	DC-Type	L4, L40s	MI210	B60 (C SKU)	AI100 Ultra

Usage Scenario

• AI Video Analytics

Deploy rugged systems like EAI-i731 to run real-time video analytics at the edge. Support for NVIDIA L4 and Qualcomm AI100 GPUs ensures low-latency performance in power-constrained environments.

• Industrial AI Inspection

Industrial-Grade platforms such as EAI-i730 support 350Q NVIDIA RTX Ada GPUs for precision defect detection, robotic guidance, and quality control in manufacturing lines.

• Re-Training and Gen AI

The ECA-6050 with 600W x4 GPU slots enables large-scale LLM training and multi-modal generative AI, leveraging NVIDIA L40s or H200 AVL GPUs for maximum throughput and parallelism.

• AI-accelerated RAN

With support for L4 and L40 GPUs, the ECA-6051 delivers optimized inference power for AI RAN management, enabling low-latency signal processing, efficient spectrum utilization, and scalable workload acceleration at the edge of 5G networks.

All-new Lanner AV-DG301 GPU Powered by Intel Arc™ Pro B60

For AI inference and visualization, Lanner collaborates with Intel to offers the AV-DG301, a dual-slot GPU card based on Intel Arc™ Pro B60. This solution integrates seamlessly with Lanner’s EAI and ECA series systems, enabling cost-effective performance for industrial visualization, media rendering, and edge AI workloads.

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