Question: Can you recommend an AI accelerator chip that can efficiently run deep learning software for industrial automation?

For an AI accelerator chip that can run deep learning software efficiently for industrial automation, Hailo offers a range of options. Its AI Accelerators (Hailo-8) are optimized for deep learning tasks, and its Generative AI Accelerators support transformer models and LLMs. Hailo's products are used in many industries, including industrial automation for tasks like automatic optical inspection and anomaly detection, and are designed for low latency and high accuracy.

Another contender is Eurotech, which offers secure, agnostic and certified edge AI solutions for industrial automation, transportation and energy markets. Its products, such as the ReliaCOR 31-11 and 33-11, are based on NVIDIA Jetson Orin NX and AGX Orin, respectively, and are designed to be fanless and secure. The products are designed with cybersecurity in mind and are certified to standards like IEC 62443, so they're good for secure AI use in industrial automation.

If you need a powerful platform to accelerate AI adoption, NVIDIA has a range of options including the EGX Platform and DGX Platform. The platforms are designed to get the most out of AI investments and to run data centers more efficiently, so they're good for big industrial automation projects. NVIDIA's platforms can be used by data scientists, gamers and others, so they're flexible and scalable.

Coral is another option, offering a local AI platform that can run on-device inferencing for privacy and efficiency. Its products include development boards and accelerators that run on common frameworks like TensorFlow Lite, so they can be used for a variety of industrial automation tasks, like object detection and image segmentation. Coral's products can help you get around data privacy and latency issues, and they can run reliably and efficiently.