The worldfirst analog Computing in memory Soc chip, WTM2101 under Witmem Technology, officially mass-produced

 WTM2101 has both ultra-low power consumption and high computing power and can realize multiple application scenarios. With high computing power in-memory computing core, compared with NPU, DSP, and MCU computing platforms, the AI computing power of WTM2101 has increased by 10-200 times. At the same time, WTM2101 also has outstanding performance in terms of low power consumption. The deep Learning Network Inference Operation only consumes 0.1 mA current. At present, the WTM2101 chip covers eight major application scenarios and solutions, including speech recognition, speech enhancement, health monitoring, environmental recognition, far-field wake-up, motion recognition, visual recognition, and event detection. Various intelligent wearable devices with high requirements for diversification.

 

WTM2101 chip has four significant advantages

 

1. Based on the integration of storage and computing technology, realize NN VAD and recognition of hundreds of voice command words

2. Ultra-low power consumption realizes NN environment noise reduction algorithm, health monitoring, and analysis algorithm

3. In typical application scenarios, the working power consumption is at the microwatt level

4. Adopt a minimal package size

 

With nearly ten years of technical accumulation in integrated storage and computing, WTM2101 has a flexible and stable computing chip architecture. At the same time, Witmem Technology develops and provides a wealth of software tools, which can help more developers develop mature solutions based on WTM2101. These advantages enable WTM2101 to meet customer needs better and have ease of use. Not only that, WTM2101 provides intelligent algorithms for intelligent voice and health and continues to upgrade, always maintaining the maximum effect in the industry.