Distributed AI Inferencing in Telecoms Networks – Case Studies

For several years, edge compute has been a key part of the 5G value proposition for telecoms operators selling into industries – even before AI. However, AI adds a new dimension to the value of edge through distributed inference, with several attributes now supporting the rationale and business case for operators. These include speeding up AI inference by reducing compute time, ensuring data sovereignty and security, deterministic services, and cost savings versus cloud.

In this webinar, we will learn about key real-world case studies and the outcomes of distributed AI inferencing for telecoms networks. This webinar will help Telco operators make informed strategic AI decisions and deployment strategies around implementing AI within the networks and focusing on in four key domains:

• Enterprise Edge AI
• Telco Data Infrastructure AI
• Telco RAN AI
• Device Edge AI

We will also launch the Edge AI Calculator developed jointly by Dell and NVIDIA.