Future car designs incorporating AI must leverage system architectures that bring not only high performance but also power efficiency. According to experts it would take as long as three years from start to finish to develop a high performing, energy efficient chip that supports self-driving and other AI functions.
Gyrfalcon Technology claims it can help automakers bring highly competitive AI chips to production for use in vehicles within 18 months, along with significant gains in AI performance, improvements in power dissipation and cost advantages through the licensing of its proprietary technology. The company has been promoting matrix-based application specific chips for all forms of AI since offering their production versions of AI accelerator chips in September 2017.
GTI offers IP licensing based on its production level silicon which has been proven in the hands of customers. According to the company, its technology is delivering the highest ratio of energy efficiency combined with very high performance. Customers are designing the chips into commercial products, such as smart home & office, consumer electronics, mobile phones & computers, baby & pet monitors, robot vacuums, defect detection equipment, edge servers, automobiles and AI data center solutions.
One matrix based chip design that replaced a GPU for self-driving AI provided equipment cost reductions and a performance-to-efficiency ratio close to 5 TOPS/W. GTI’s matrix based AI chips provide 9.3 TOPS/W (Lightspeeur® 2801) or 24 TOPS/W (Lightspeeur® 2803), which already bring twice to five times the improvement on that ratio.
Licensees can expect to have a leading edge proprietary AI Chip in their vehicles providing opportunities for industry leadership. IP licensing is bundled with development tools, technical documentation, development hardware offerings, chip design expertise and technical support.
Source: Press Release