TCXOs improve GPU synchronization in AI clusters
SiTime’s Elite 2 Super-TCXO family of oscillators delivers sub-nanosecond synchronization, increasing GPU utilization in AI clusters. By minimizing timing errors between GPUs, the devices boost throughput and performance per watt.
“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.”
Emerging AI cluster requirements call for reducing timing errors to 10 ns, down from 1 µs today. The Elite 2 Super-TCXO achieves 1-ns synchronization accuracy—exceeding this target—with frequency slope as low as ±2 ppb/°C.
The series comprises four variants: SiT5234 and SiT5434, operating from 1 MHz to 60 MHz, and SiT5235 and SiT5435, operating from 60 MHz to 105 MHz. The SiT5234 and SiT5235 offer Allan Deviation (ADEV) of 1E-11, while the SiT5434 and SiT5435 achieve 6E-12. All oscillators are available in 3.2×2.5-mm plastic and 5.0×3.2-mm ceramic packages.
Elite 2 Super-TCXOs are sampling now, with commercial production expected in Q3 2026.
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