AIoT/IoT
AIoT/IoT
IoT is an extension of the Internet. It’s a huge network formed by combining various information sensing devices with the Internet, realizing the interconnection of people, machine and things at any time and any place.
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Popular questions
What is AIoT and how does it impact memory requirements?
AIoT combines Artificial Intelligence (AI) with the Internet of Things (IoT). Instead of just collecting data, AIoT devices process that data locally at the “edge.” This on-device processing and AI inference require significantly more robust memory than traditional IoT devices. The memory must handle complex AI algorithms, store data models, and perform tasks in real-time, all while operating under the strict power and size constraints of an IoT device.
Why can't I just use standard consumer memory for AIoT devices?
Consumer memory is not built for the specific demands of AIoT. AIoT applications require memory that can withstand:
Continuous Operation: AIoT devices often run 24/7. Consumer memory isn’t designed for this kind of constant use.
Harsh Environments: From factory floors to outdoor sensors, AIoT devices are exposed to a wide range of temperatures, vibrations, and humidity.
Edge Processing Demands: The high-speed data transfer and intensive read/write cycles from AI tasks can quickly wear out standard memory, leading to data corruption and device failure.
Custom memory, on the other hand, is built with industrial-grade components and special firmware to ensure reliability and longevity in these challenging conditions.
What are the key features of custom memory for AIoT?
Custom memory for AIoT is designed with several key features to meet the specific demands of the industry:
High Endurance: Specialized wear-leveling algorithms and enhanced cell-level management extend the life of the memory, even with constant data writes.
Low Power Consumption: Critical for battery-powered devices, custom memory solutions are optimized to use less energy.
Wide Temperature Range: These modules are certified to operate reliably in extreme heat and cold.
Small Form Factor: Many custom memory solutions are available in compact packages, such as BGA (Ball Grid Array) and eMMC, to fit into the small enclosures of IoT devices.
Data Integrity: Features like ECC (Error-Correcting Code) and robust firmware prevent data loss and ensure the accuracy of AI models.
What types of custom memory are commonly used in AIoT?
A variety of memory types are used depending on the specific application:
eMMC (embedded MultiMediaCard): A cost-effective, high-capacity, and reliable storage solution for many AIoT devices, especially those that need to store an operating system and a significant amount of data.
Industrial SSDs: Used for more powerful edge computing devices and gateways that require higher performance and larger capacities for complex AI workloads.
LPDDR (Low-Power Double Data Rate) DRAM: A type of RAM (Random Access Memory) that provides high performance for real-time processing and AI inference while consuming very little power, making it ideal for battery-operated devices.
SLC (Single-Level Cell) NAND Flash: Known for its high endurance and reliability, this is often used for critical applications that involve frequent data logging.
How do I choose the right custom memory for my AIoT device?
Selecting the right memory depends on your application’s unique requirements. Consider the following factors:
Performance: How fast does your device need to process data? This will determine the type of DRAM or Flash memory you need.
Endurance and Reliability: How often will data be written to the memory? For applications with frequent writes, look for high-endurance solutions.
Power Consumption: Is your device battery-powered? If so, prioritizing low-power solutions is essential.
Capacity: How much data does your device need to store? This includes the operating system, AI models, and any recorded data.
Environmental Conditions: Will your device be exposed to extreme temperatures, vibration, or humidity? Make sure the memory is rated to handle those conditions.
Working with a custom memory provider can help you find a tailored solution that balances these factors to ensure your AIoT device is both reliable and cost-effective.
