The HyperRAM of China state electron? What specific data show does the technology have in the applied case of artificial intelligence domain?

The HyperRAM of China state electron? The technology has many to use case in artificial intelligence domain, specific data behaves as follows:

• Apply at Efinix Ti60 F100: Hua Bang 256Mb HyperRAM 2.0e KGD offers memory to support for Efinix Ti60 F100, need 22 signal to cite a base only, reduce the amount that cite a base considerably than traditional DRAM, can narrow PCB dimension. Its are active the DRAM of the power comsumption below mode and competitor is equal or lower, bide one’s time power comsumption is 140 μ W, can exceed low power comsumption with mixing Morpheus mode to offer. This memory can move below the biggest frequency of 200MHz, the biggest data that provides 400MB/s below the working voltage of 3.3V or 1.8V transmits rate, offerred the memory solution of high-powered, low power comsumption, small size for Ti60 F100.
• Apply at GoAI 2.0 of tall cloud semiconductor: Hua Bang 64Mb HyperRAM? With Yu Gaoyun the GoAI 2.0 machine of semiconductor learns platform, need link only 11 feet signal, the BGA that makes GW1NSR4 SiP place is used encloses unit area to be 4.2mm X 4.2mm only. It can offer the highest data bandwidth of every second 500MB, can maintain below operation and mixture Morpheus mode at the same time exceed low power comsumption, can assure RTOS operating system move, still can use the memory that makes TinyML model or screen buffer.
• Use microprocessor of Yu Ruisa RZ/A2M: The HyperRAM of China state electron can be based on the RZ/A2M microprocessor collocation of Arm kernel to use with lucky Sa, the compose that help strength is built embedded AI system. The HyperRAM of 64Mb capacity is equal to 8MB probably, prospective capacity will be outspread to 128Mb even 256Mb, can store more image data or AI model. Its bring crural amount photograph to decrease greatly than traditional RAM, conduce to implementation system miniaturization, and demand of can contented low power comsumption, those who suit the AIoT device that is used at having a demand to area, cost, power comsumption is embedded AI and image processing application.
• Apply at intelligent car: The cache that through 8 lines serial interface offers low defer, Gao Tun to spit for MCU/FPGA supports HyperRAM. With driving automatically the car is exemple, after car sensor collects road condition data, hyperRAM can make computation unit and fast keep data memory to undertake pretreatment, its are low defer, tall speed character can make AI system gets place in time to need information to be made answer.