ECA-6051: Accelerating AI Inference At The 5G Edge - Lanner Electronics | Network Appliance | uCPE SD-WAN| MEC Server | Intelligent Edge Appliance

Together with NVIDIA, Lanner aims to bring edge AI closer to real-time data analysis at the network edge and launched the ECA-6051, a 2U short-depth edge AI server powered by the NVIDIA MGX reference architecture and leverages NVIDIA’s GH200 Grace Hopper Superchip for accelerating AI inference at the 5G edge.

This powerful appliance is designed to enhance AI-driven workloads, ensuring rapid data processing and real-time insights while supporting high-bandwidth 5G connectivity, fulfilling the significantly increased demand for low-latency AI applications found in telecommunications, autonomous systems and smart cities, such as video transcoding, factory visual inspection and RAN intelligent control.

The Grace Hopper Superchip seamlessly integrates GPU-accelerated computing with CPU processing, delivering unparalleled computing power for AI inference, training, machine learning, memory-intensive applications and complex AI algorithms. Lanner’s ECA-6051 is 5G-ready, perfect for deployment in space-constrained 5G edge network locations and supports low-latency, high-bandwidth applications that are crucial for all industries that require real-time data insights.

Configured with up to 3 PCIe 5.0 x16 slots, the modular ECA-6051 accommodates 3 PCIe cards, namely the NVIDIA L40S GPU, NVIDIA H100 Tensor Core GPU, NVIDIA Bluefield-3 DPU and NVIDIA ConnectX-7 network adapters. With support for multiple GPUs and DPUs, this edge AI server dramatically enhances AI and networking performance at the 5G edge, providing a scalable, high-performance platform for telecom operators to construct and deploy 5G radio access networks that are open, efficient and secure.

All in all, the ECA-6051 is ideal for fast deployment across various verticals, particularly telecommunications, autonomous systems, smart cities and industrial automation, making available robust performance, scalability, enhanced operational efficiency and faster decision-making for those wishing to harness the full potentials of AI at 5G networks.

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