Is it true or false that MindSpore can only use Huawei-developed Ascend processors for training and inference?

MindSpore is designed as a flexible deep learning framework that is not restricted to using only Ascend processors; it can also leverage various hardware platforms. This adaptability allows developers and researchers to utilize a wide range of processors, including GPUs from other manufacturers and CPUs, for training and inference tasks.

The versatile architecture of MindSpore enables it to enhance the performance of machine learning workloads across different devices. This is a significant characteristic, as it promotes broader accessibility and innovation, contributing to a more inclusive development environment in the AI landscape. Consequently, the ability for MindSpore to operate outside of Huawei-developed Ascend processors underscores its compatibility and functionality across diverse hardware ecosystems, validating the assertion that the statement is false.