Texas Instruments Released Three AI Center Components

The company introduced new integrated circuits designed to enhance performance and stability in data center power and signaling.

Updated on Oct. 12, 2026 in Semiconductors

Texas Instruments Released Three AI Center Components

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Texas Instruments launched three new integrated circuits aimed at optimizing AI data centers. These components include an analog-to-digital converter, a high-voltage hot-swap controller, and a high-performance clocking source.

Why it matters

These advancements target common data center challenges by preventing power glitches and minimizing signal jitter. Improving these metrics is essential for maintaining the high speeds and reliability required by modern artificial intelligence infrastructure.

The new ADC34DSO75 converter operates at 3 gigasamples per second, while the LMK6B clocking source achieves 9.6 femtoseconds of jitter at a 625 MHz clock rate. The LMI800PS controller offers an 800 V rating with 5k V reinforced isolation.

The players

Texas Instruments

Texas Instruments is a global semiconductor design and manufacturing company that develops analog and embedded processing chips.

The details

The ADC34DSO75 converter monitors system health through event-based fault data storage, while the LMI800PS controller consolidates telemetry and bias supply into one package. These tools support the power and signal integrity necessary for high-speed networking.

Texas Instruments unveiled the new components on October 12, 2026.

The Tech Race

The release follows the Open Compute Project data center hardware standards, which dictate server power and connectivity efficiency for hyperscale environments. This development reinforces the industry-wide push to densify AI hardware architectures while minimizing power overhead.

These components reduce board space requirements for AI infrastructure, potentially allowing for more compact and efficient server designs. For end-users, this shift supports the scaling of AI services by lowering the power and performance bottlenecks in large-scale data facilities.

The takeaway

Reliable hardware is the foundation of high-performance artificial intelligence systems. Industry professionals can look toward these specific integration techniques to improve power distribution and signal stability in their own data management systems.