Lanner Electronics and Personal AI announced a strategic partnership to deliver a complete hardware and software platform enabling telecommunications providers to deploy advanced AI services at the network edge. The integrated solution combines Lanner’s NVIDIA MGX-certified Edge AI servers with Personal AI’s Small Language Model (SLM) technology to unlock new revenue streams for telcos while preparing networks for the 6G era.
As the telecommunications industry transitions to AI-native networks, telcos have an opportunity to monetize their extensive edge infrastructure investments. The Lanner-Personal AI platform directly addresses this by enabling service providers to offer AI-powered solutions to over 350 million telecom subscribers in the US.
AI-RAN: The Foundation for 6G Networks
The joint platform is purpose-built for AI Radio Access Networks (AI-RAN), a critical building block for next-generation 6G infrastructure. By consolidating AI workloads and RAN functions on shared, distributed computing infrastructure at near-edge hub sites, telcos can transform single-purpose cell sites into multipurpose AI factories that generate new revenue.
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At Lanner, our mission is to accelerate edge-native AI deployment across telco infrastructure,” said Jeans Tseng, CTO of Lanner Electronics. “Our carrier-grade, short-chassis Edge AI servers with scalable AI accelerators are pre-validated with Personal AI’s Small Language Model technology, delivering a production-ready platform that telecom operators can deploy at existing cell sites. This collaboration not only shortens time-to-market but also empowers telcos to launch new AI-driven services and fully unlock the potential of their edge networks.”
Small Language Models: A Quantum Leap in Edge AI Economics
At the core of the solution is Personal AI’s approach to edge deployment using Small Language Models (SLMs); models ranging from hundreds of millions to 2 billion parameters. Validated by NVIDIA research demonstrating that SLMs are “sufficiently powerful, inherently more suitable, and accountably more economical” for agentic AI systems, PLMs deliver >20x better cost efficiency than traditional large language models while maintaining comparable accuracy for specialized tasks.
“Telcos are uniquely positioned to become the infrastructure layer for distributed AI, but legacy cloud-based LLM economics simply don’t work at telco scale,” said Jonathan Bikoff, Chief Business Officer at Personal AI. “Our Small Language Model platform, running on Lanner’s edge-optimized hardware, enables telcos to offer AI services at 90% gross margins. These economics work for both the telco and their customers.”
SOURCE: PRWeb