Tesla's Self-Driving Computer Runs Neural Networks — So Does NexaAPI, for $0.003/image

A hacker ran Tesla's AI computer on their desk using salvaged parts from crashed cars. The article explores what Tesla's FSD chip actually does and how developers can access similar AI capabilities through NexaAPI, a cloud-based API that provides the same class of AI inference models for a fraction of the cost.

Details

Tesla's HW3/HW4 chip is a custom AI inference accelerator that runs multiple convolutional neural networks (CNNs) simultaneously, processing video from 8 cameras at 36 fps. It performs object detection, semantic segmentation, depth estimation, trajectory prediction, and path planning. The chip delivers 72 TOPS (tera operations per second) and was specifically developed by Tesla for AI inference. While this approach is brilliant for a self-driving car, it is impractical for most developers due to the high hardware cost, setup complexity, scalability issues, and ongoing maintenance requirements. NexaAPI offers an alternative by providing access to the same class of AI inference models that power Tesla's FSD system, but through a simple API call. Developers can leverage these advanced AI capabilities without the need for custom hardware, paying only $0.003 per image inference.