Texas Instruments Targets AI Downtime With Nanosecond Telemetry

The centerpiece of the rollout is the ADC34DSO75, an analog-to-digital converter capable of 3 gigasamples per second. By moving telemetry to a nanosecond resolution, the device captures transient fault events in real time, effectively eliminating the need for on-site debugging with manual oscilloscopes. For hyperscalers, this transition from reactive maintenance to continuous, event-based monitoring is intended to curb downtime costs that often reach hundreds of thousands of dollars per hour.

Beyond monitoring, Texas Instruments is addressing power architecture through the LMI800PS, the industry's first 800V isolated hot-swap controller. This component replaces complex five-chip discrete designs with a single high-density package, reducing board area by over 60%. The controller provides 5kVrms reinforced isolation, preventing localized load failures from cascading across a shared power bus. Complementing these are the new LMK6B bulk acoustic wave-based oscillators, which offer jitter performance of 9.6fs at 625MHz to maintain signal integrity as networking speeds push toward 3.2Tbps.

Karthik Vasanth, general manager for the company’s data and converter business, emphasized that the shift toward massive AI scale necessitates a fundamental change in how operators approach architectural stability. By integrating precision timing and advanced power protection, these components aim to provide the reliability required for next-generation AI infrastructure.