Efinix launches Titanium Ti180 FPGA

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Efinix has launched the Titanium Ti180 FPGA - a 180K logic element device that delivers improved levels of performance in a cost effective, low-power footprint.

Featuring 2.5G MIPI interfaces, the Ti180 is designed to address the growing need for higher resolution, and higher bit depth sensors designed to maximise accuracy in AI and ML applications. Higher MIPI data rates enable sensor aggregation and delivering a more flexible solution for applications in automotive and virtual reality markets.

“The Ti180 delivers three times the logic density of previous members of the Titanium family while maintaining a tiny 10 mm X 10 mm footprint,” said Sammy Cheung, Efinix co-founder, CEO, and president. “Leveraging our radical Quantum Compute fabric, the Ti180 delivers 15X the energy efficiency of previous generations of Efinix FPGAs delivering unheard-of performance for space and energy constrained embedded compute applications.”

The Ti180 features a hardened LPDDR4 interface for ultimate bandwidth to external memory. A Linux capable quad-core RISC-V processor makes the Ti180 suitable for high-performance embedded compute applications where high-speed access to large amounts of local storage is paramount.

A low power version of the Ti180 is also available without the LPDDR4 interface for applications where power consumption is the primary constraint. The Ti180 enables highly hardware accelerated AI and ML applications speeding time to success with zero NRE for the volatile and evolving AI market.

“We are seeing tremendous adoption of our strategy of Quantum Acceleration in which hardware FPGA fabric is used to massively accelerate algorithms running in our Sapphire RISC-V engine,” said Mark Oliver, Efinix VP of Marketing. “The Ti180 takes this design methodology to the next level delivering Linux capable, quad-core performance with ample space for dynamic and highly configurable hardware accelerators and custom instructions.”

The Ti180 is fabricated on the TSMC 16 nm process and leverages the cost-effective energy efficiency of that process.