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Omni Design Showcases Advanced 3nm and Chiplet IP Targeting AI Data Centers

Omni Design Showcases Advanced 3nm and Chiplet IP Targeting AI Data Centers

According to a recent LinkedIn post from Omni Design Technologies, the company plans to showcase multiple IP offerings at the upcoming TSMC 2026 NA Technology Symposium. The post highlights 3nm silicon photonics TIA and driver IP for 224G PAM4 and 64G NRZ, a 3nm 64 GS/s ADC IP for AI data center infrastructure, and 16nm 16G UCIe IP for die-to-die connectivity.

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The LinkedIn post also points to “chiplet & droplet” engagements, suggesting a move from pure IP supply toward broader system-level design and end-to-end solutions. For investors, this emphasis may indicate an effort to capture higher-value, design-centric revenue streams and deepen integration with customers in advanced packaging and heterogeneous integration.

The post characterizes the past year as a milestone period, citing progress beyond the firm’s historical focus on terrestrial broadband, wireless communications, and ADAS into data center connectivity. This positioning aligns the company with one of the fastest-growing segments in semiconductors, where demand for high-speed, low-power interconnect and data-conversion IP is being driven by AI workloads.

By aligning its roadmap with AI-era scale-up and scale-out networking, Omni Design appears to be targeting sockets in switches, accelerators, and server platforms that require advanced analog and mixed-signal IP. If design wins materialize, this could enhance the company’s long-term licensing and royalty potential, though the post does not provide details on existing contracts, customers, or financial impact.

Participation at a TSMC technology symposium and presence as a booth exhibitor may also signal tighter ecosystem alignment with a leading foundry at advanced nodes. For the broader industry, such activity underscores ongoing demand for specialized IP at 3nm and 16nm, while for Omni Design it could support brand visibility and pipeline development within high-end data center and AI infrastructure markets.

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