S34ML02G104BHA013 vs IS25LQ032B-JLLE

Part Number
S34ML02G104BHA013
IS25LQ032B-JLLE
Category General Memory General Memory
Manufacturer Cypress Semiconductor Corp ISSI, Integrated Silicon Solution Inc
Description IC FLASH 2GBIT PARALLEL 63BGA IC FLASH 32MBIT SPI/QUAD 8WSON
Package Tape & Reel (TR) Tape & Reel (TR)
Series ML-1 -
Voltage - Supply 2.7V ~ 3.6V 2.3V ~ 3.6V
Operating Temperature -40°C ~ 85°C (TA) -40°C ~ 105°C (TA)
Mounting Type Surface Mount Surface Mount
Package / Case 63-VFBGA 8-WDFN Exposed Pad
Supplier Device Package 63-BGA (11x9) 8-WSON (8x6)
Memory Size 2Gb (128M x 16) 32Mb (4M x 8)
Technology FLASH - NAND FLASH - NOR
Memory Type Non-Volatile Non-Volatile
Clock Frequency - 104 MHz
Access Time - -
Memory Format FLASH FLASH
Write Cycle Time - Word, Page 25ns 1ms
Memory Interface Parallel SPI - Quad I/O
  • 1. What is flash memory and what are the common types of flash memory?

    Flash memory is a non-volatile memory used to store data, and the data will not be lost even if the device is powered off. Common types are NAND and NOR flash memory, which are mainly used in USB flash drives, SSDs, memory cards, etc.

  • 2. How to choose the right memory type?

    When choosing a memory type, you need to consider speed, capacity, durability and cost according to application requirements. For example, SSD is suitable for data that needs to be accessed quickly, HDD is suitable for large-capacity data storage, and RAM is suitable for high-speed computing.

  • 3. How to extend the life of memory devices?

    Measures such as regular data backup, avoiding excessive reading and writing of memory, ensuring proper temperature control, and preventing power fluctuations can help extend the life of memory.

  • 4. What is High Bandwidth Memory (HBM) and what are its advantages?

    HBM is a high-bandwidth, low-latency memory technology commonly used in graphics cards and AI accelerators that can handle a large number of parallel computing tasks. HBM's stacked architecture makes it take up less space and more efficient, making it an ideal choice for big data and high-performance computing applications.

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