ON-DEMAND WEBINAR
Addressing Silent Data Errors for Resilient Data Centers
The semiconductor industry is struggling to profile, root cause and eliminate SDCs.
The semiconductor industry is struggling to profile, root cause and eliminate SDCs.
Silent data corruptions or silent data errors (SDEs) are the most insidious kinds of errors that can happen in computing systems. Essentially, there is a defect or an unpredicted problem inside the computing chip that was not found during manufacturing testing and that inconsistently changes computation results. The industry is struggling to profile, root cause and eliminate these errors.
This 1-hour webinar discusses the magnitude of SDE's, the effects it has on the users’ trust of the system and the current best practices and available techniques to deal with it. The speakers highlight innovative mechanisms that will greatly assist in reducing the magnitude of SDEs and how these solutions can optimize datacenter resilience.
What you will learn:
This webinar discusses what is needed to design, manufacture and deploy advanced SoCs for AI applications today (and tomorrow).
Two-stage detection approach, offering SDC prevention solutions for different stages of a chip's lifespan: ML-powered Outlier Detection for semiconductor defect detection and Real-Time Health Monitoring for in-field predictive and prescriptive maintenance.
Predict and prevent failures with proteanTecs real-time health monitoring