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IoT Memory
IoT memory is for real-time analytics, machine learning, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of things.
Also, IoT Memory is to support Bluetooth mesh networking (Bluetooth low energy=(BLE), Light-Fidelity (Li-Fi), Near-field communication (NFC), QR codes and barcodes, Radio-frequency identification (RFID), Transport Layer Security, Wi-Fi, ZigBee, LTE-Advanced, Low-power wide-area networking (LPWAN), Very small aperture terminal (VSAT), Ethernet, Power-line communication (PLC)
Also, IoT Memory is to support Bluetooth mesh networking (Bluetooth low energy=(BLE), Light-Fidelity (Li-Fi), Near-field communication (NFC), QR codes and barcodes, Radio-frequency identification (RFID), Transport Layer Security, Wi-Fi, ZigBee, LTE-Advanced, Low-power wide-area networking (LPWAN), Very small aperture terminal (VSAT), Ethernet, Power-line communication (PLC)
Benefits
- IoT Memory is part of the AIM - AI memory series. The AIM is Natural memory for all AI, IoT, Industrial, Car, Robot, space vehicle, computer, communication, consumer, medical...etc. Applications.
Block Diagram of the IoT Memory IP Core
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IoT Memory IP
- pico 2D Graphics Processor for Wearables/IoT
- Low Power Family (IoT applications) in TSMC(22nm, 40nm ULP/EF_ULP, 55nm ULP/ULL)
- Highly powerful, multi-mode communication processor for IoT wireless applications
- Highly powerful and scalable multi-mode communication processor for IoT wireless applications
- Lightweight Single-core Multi-Purpose Processor for IoT
- UFS IP for high-performance, low-power interface targeting embedded or removable non-volatile mass storage memory devices