If you're looking for an alternative to Intel Movidius Vision Processing Units (VPUs), Hailo is a good option. The Israeli company's AI processors are geared for edge devices, where they can handle high-resolution video and other data processing and analysis. The Hailo-15 family in particular is suited for deep learning tasks, with low latency and high accuracy, and is a good candidate for computer vision tasks.
Another contender is Coral, a local AI platform that lets developers run AI tasks quickly, privately and efficiently on the device. Coral's products support frameworks like TensorFlow Lite and are balanced between power consumption and performance, making it a good fit for smart cities, manufacturing and health care, where data privacy and low latency are important.
If you need high-performance AI compute but also need scalable infrastructure, Numenta offers a system to run large AI models on CPUs. Its NuPIC system can optimize performance in real time, accommodate multiple customers, and scale easily, which makes it a good fit for gaming and document retrieval. It's also a relatively cheap option for businesses that want to tap into AI without the expense of GPUs.