➀ The rapid growth of generative AI (GenAI) strains existing infrastructure with exorbitant costs (e.g., $100M training cost for GPT-4) and reliability challenges like frequent hardware failures;

➁ proteanTecs embeds intelligent on-chip agents to enable real-time workload-aware monitoring, dynamically optimizing power, performance, and reliability with minimal overhead (1-1.5% gate count, 8-14% power reduction);

➂ The solution addresses both AI training and inference challenges, offering adaptive voltage/frequency scaling and health monitoring to sustain scalable GenAI advancements.

➀ Aggressive testing in chip manufacturing often leads to the discarding of marginally functional chips, causing waste.

➁ Traditional testing methods like PAT have limitations in detecting subtle defects.

➂ proteanTecs' outlier detection solution uses machine learning to enhance chip reliability and performance.