Tech

Arelion adds 400G EVPL to bridge the AI connectivity gap

Arelion's 400G Ethernet Virtual Private Line (EVPL) expansion bridges the connectivity gap for AI infrastructure, offering enterprises and hyperscalers a high-bandwidth, low-latency solution for interconnecting AI workloads and data centers. The upgraded service enables rapid, scalable connectivity between AI clusters, data lakes, and edge computing environments. With 400G EVPL, Arelion's AI Direct suite now supports the high-speed data transfer required for large-scale AI applications.

Arelion has expanded its AI Direct suite with a 400G Ethernet Virtual Private Line (EVPL) service, designed to provide high-bandwidth, low-latency private connectivity between AI workloads, GPU clusters, and data centers. The service targets enterprises, neoclouds, hyperscalers, and wholesale customers who need to interconnect distributed AI infrastructure rapidly.

Overview

The 400G EVPL service runs on Arelion's IP backbone, which the company ranks as #1 globally. It uses dynamic prioritized routing to automatically reroute traffic around network events in real time, improving resilience. The service supports high-availability connections between global data centers, cloud regions, and Arelion's Points-of-Presence (PoPs).

Key features

  • Dynamic routing: The network automatically reroutes traffic through alternate paths when disruptions occur, without manual intervention.
  • Multiple Services on One Port (MSOP): Customers can combine EVPL, Cloud Connect, and IP Transit on a single physical port, reducing hardware costs and simplifying operations.
  • Class of Service (CoS) architecture: Prioritized, network-protected traffic handling for secure transport of proprietary datasets, model updates, and application traffic.
  • Jumbo frame support: The service supports a Maximum Transmission Unit (MTU) of 9400 bytes, improving throughput for large-scale data transfers.
  • Long-distance private connectivity: Suitable for interconnecting data centers and large enterprise networks across geographic distances.

Use cases

Arelion positions the 400G EVPL for real-time applications in financial services, streaming, and gaming, as well as for connecting AI training clusters, data lakes, and edge computing environments. The service is also intended to support enterprises' agentic AI initiatives, where secure, low-latency transport of model updates and inference traffic is critical.

Market context

The global AI infrastructure market is projected to reach $394 billion by 2030, with a compound annual growth rate (CAGR) of 19.4 percent, according to analysts cited by Arelion. The company's expansion reflects growing demand for scalable, resilient connectivity to support distributed AI training and inference.

Bottom line

Arelion's 400G EVPL is a practical upgrade for organizations that need private, high-bandwidth links between AI clusters and data centers. The combination of dynamic routing, multi-service port consolidation, and jumbo frame support addresses common pain points in AI infrastructure networking. Enterprises already using Arelion's backbone or Cloud Connect services will find the EVPL addition straightforward to integrate.

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