LOCI enhances AI inference with a robust Reliability, Availability, and Serviceability (RAS) solution for in-field device analytics.
Leveraging a local Deep Neural Network (DNN), this efficient and cost-effective vertical model comes equipped with an API for developers. LOCI’s RAS software stack predicts performance degradation, issues downtime probability alerts, and provides prescription updates, ensuring seamless communication and optimal performance across nodes.
This comprehensive approach empowers organizations to proactively manage their AI infrastructure, minimizing disruptions and maximizing efficiency.
Monitoring of PVT, ECC, GPU, CPU, and memory corruption with root cause analysis.
Degradation prediction of power, temperature, performance, CPU, and quality in real-time.
Anomaly detection in specific dies and cores, pinpointing affected code sections.
Voltage adjustments recommendations based on ECC increases and system performance.
Prediction of workload trends, detection of bottlenecks, optimization of cold startups, tracking of event deviations, and root cause analysis for improved system reliability and performance.
Identifying issues such as missing data in databases, module comparisons, and code-specific problems down to the line and core level.
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