# Powering AI Inference from Edge to Cloud for Modern Business

- Institution: CERN
- Taught by: Jean-Laurent Philippe, Nisha Patel
- Year: 2026
- Language: English
- Subjects: Business and management
- Source: [CERN](https://videos.cern.ch/record/3021020)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Discover how solutions with Intel® Xeon® 6 and Intel® Core™ Ultra processors revolutionize AI inference across your entire infrastructure. This presentation explores the compelling business case for modernizing compute environments, featuring breakthrough TCO improvements, enhanced sustainability metrics, and seamless AI workload deployment from edge to cloud. Learn how Intel's tools and software ecosystem support a common software foundation for both HPC and AI workloads, enabling consistency across diverse use cases. Built to operate across heterogeneous systems, this software stack integrates with modern orchestration and scheduling environments to support scalable deployment and efficient resource utilization. It helps solve some of the challenges that large‑scale infrastructures and data‑intensive environments are currently facing, particularly around specialized data collection requirements and low‑latency data handling, which are increasingly driving the adoption of AI‑based filtering and inference. Together, hardware and software form a cohesive platform approach that helps organizations evolve their infrastructure while maintaining flexibility over time.

0:00:00 Slide 1

0:05:38 Slide 2

0:07:23 Slide 3

0:10:04 Slide 4

0:19:44 Slide 5

0:32:55 Slide 6

## Lectures

1. [Powering AI Inference from Edge to Cloud for Modern Business](https://invisiblenetwork.ai/learn/cern/3021020/caa20a1702fb), 33 min (CERN's player)