HSINCHU, Taiwan - Faraday Technology Corporation today unveiled the success of projector ASICs, covering high-end 4K/8K projector...
HSINCHU, Taiwan - Faraday Technology Corporation today introduced its M1+ standard cell library on UMC 28HPC process. Li...
Faraday’s FPGA-to-ASIC conversion service, in conjunction with comprehensive IP solutions of PCIe Gen 3/4, MIPI D-PHY, DDR3/4 and SerDes 12/16/25/28/56G at advance FinFET process nodes, are particularly suited for AI chips requiring higher bandwidth and a lower latency interface. From cloud to edge computing, in applications like machine vision, NLP, and sentiment analysis, Faraday can deliver optimized ASIC chip designs featuring 30~100 times better energy efficiency.
With 25 years of IP development experience, Faraday has the ability to customize IPs for ASIC cost efficiency in mass production. Faraday has handcrafted SRAM macros allowing for a reduction of on-chip SRAM area by 5~50%, in addition, its SRAM Redundancy & Repair design feature increases yield rates by up to 10%.
“As AI algorithm mature and the market demand for AI products rise, customers look to replace FPGA chips with ASIC devices for a competitive system BOM cost. Faraday’s ASIC service has been validated in thousands of designs and shipped hundred millions of market proven SoCs. The service provides AI customers with a path to lower integration risk and cost, accelerating the adoption of new DNN algorithms”, said Flash Lin, COO of Faraday Technology.
CTIMES loves to interact with the global technology related companies and individuals, you can deliver your products information or share industrial intelligence. Please email us to firstname.lastname@example.org
- 1LG Display Retains Its Lead in the Large Displays Shipments in Q1 2018, IHS Markit Says
- 2The Average Contract Prices of Enterprise SSD May Fall by 10% in 2Q18, Says TrendForce
- 3TrendForce: Three Major Server DRAM Suppliers Score 10.3% Revenue Growth in 1Q18
- 4AUO Announces World’s Highest Resolution Micro LED Display Technology
- 5Asus, Taiwan Mobile, Quanta Collectively Spend NT$1.1B to Establish Taiwan AI Platform