SiTime (SITM) announced the Elite 2 Super-TCXO to increase GPU utilization and compute efficiency in AI data centers by delivering better time synchronization. The product targets a $1.5 billion cumulative market by 2030. “Industry reports show GPU utilization in AI clusters can be as low as 20 to 40 percent-a large and largely hidden tax on AI infrastructure,” said Piyush Sevalia, chief business officer at SiTime. “AI workloads are distributed across GPUs in tightly orchestrated time slots. Even small timing errors force wait cycles to avoid data corruption, and in extreme cases can trigger GPU timeouts and system restarts. Poor synchronization directly caps GPU utilization.”
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