11 stories tagged hardware on EV Digest.
Tesla is updating the terminology in its vehicle owner's manuals, replacing references to the "FSD Computer" with "SI Computer." The change hints that current AI4 hardware suites could be rebranded as SI4, potentially signaling a new naming convention ahead of next-generation hardware.
Tesla's highly anticipated Cybercab event, which was not livestreamed, offered an exclusive look at the advanced hardware underpinning its future autonomous robotaxi service. Engineers detailed the sophisticated technology designed to enable fully self-driving capabilities for the dedicated Cybercab fleet. This provides a glimpse into the company's vision for urban mobility and the technical advancements required to bring it to fruition.
Waymo has offered a peek into the intricate computing hardware that forms the 'brain' of its autonomous vehicles. This specialized compute system is engineered for deterministic, low-latency performance, crucial for processing real-time sensor data and executing safe driving commands. The company emphasizes its decade-long, integrated approach to co-designing hardware, sensors, and algorithms to meet the demanding requirements of physical AI on the road.
Waymo has for the first time detailed the robust computing hardware that powers its fleet of autonomous robotaxis. This 'brain,' housed in the vehicle's trunk, is capable of a quadrillion operations per second, representing a significant leap in self-driving technology infrastructure.
Alphabet's Waymo has designed a new custom semiconductor chip to enhance the performance and efficiency of its autonomous robotaxi operations. This in-house hardware development aims to optimize processing capabilities specifically for the complex demands of self-driving technology, potentially accelerating the rollout and improvement of its driverless services.
Owners of Tesla vehicles equipped with Hardware 3 (HW3) are reporting significant overheating of their self-driving computers when running the latest FSD (Full Self-Driving) V12 software. This issue, manifesting as system slowdowns and potential hardware degradation, highlights the increasing computational demands of advanced autonomous features on older vehicle architectures. Tesla faces the challenge of optimizing software for a diverse hardware fleet or pushing for upgrades to ensure FSD functionality and reliability.
Tesla has reportedly finalized the acquisition of an undisclosed artificial intelligence hardware firm for $2 billion. This move follows earlier hints from the company regarding its expanding AI ambitions. The acquisition is expected to bolster Tesla's efforts in developing advanced AI capabilities.
Tesla has completed its previously hinted-at acquisition of an artificial intelligence hardware company, valued at approximately $1.95 billion. The deal, paid entirely in Tesla stock and equity, was discreetly disclosed in the company's Q2 2026 financial filing without public announcement or identification of the acquired entity.
New information suggests that Tesla's anticipated Cybercab will incorporate a dual GPS system, a significant hardware enhancement aimed at improving location accuracy. This upgrade is expected to provide precise mapping capabilities, crucial for the vehicle's driverless functionality.
The forthcoming Tesla Cybercab autonomous vehicle is rumored to incorporate a significantly more powerful Full Self-Driving (FSD) computer than what is currently found in consumer Tesla models. This advanced hardware is expected to enhance the Cybercab's autonomous capabilities as it prepares for future robotaxi services.
Turing, an autonomous vehicle startup, has attracted a strategic investment and hardware support from chipmaker AMD. This partnership will provide Turing with access to powerful AMD GPUs, crucial for developing and testing their self-driving software and systems.
