In designing its own chips for AI, Tesla is following other big tech companies. “All you need to do is improve the software.” He added that, by 2020, Tesla would have “over a million” fully autonomous cars on the road. The magnitude of the work is reflected in the gargantuan number of transistors -- 6 billion -- that make up the processing circuitry on each of Tesla's chips. PCMag, PCMag.com and PC Magazine are among the federally registered trademarks of Ziff Davis, LLC and may not be used by third parties without explicit permission. But all this discussion of chips and TOPS is, to a certain degree, a distraction. Although Tesla designed the core AI elements of the processor, it relied on off-the-shelf elements for things like graphics processing. We’re at full frames, full resolution with the Tesla hardware. At the Tesla Autonomy Day 2019 for investors, Tesla detailed what’s now called the Full Self-Driving Computer (or FSD Computer for short), including all the hardware specs, which we outline below. Elon Musk: Tesla founder reveals plans to implant tiny computer chips in brains. newsletter, It’s Elon Musk vs. everyone else in the race for fully driverless cars. As mentioned earlier, Tesla had to be extremely careful around power use and consumption as that produces heat and reduces range, a particular issue for the upcoming Tesla Network / Robo Taxis. Musk was sitting beside him as the hype man, ready to translate technical specs into sound bites and boasts. Bannon is a respected figure in the industry, with stints designing chips at Intel and Apple before he joined Tesla in 2016. Two big, square AI processors power Tesla's third-generation full self-driving car computer. Although Tesla designed the core AI elements of the processor, it relied on off-the-shelf elements for things like graphics processing. While the FSD Computer is much more powerful, it only produces a bit more heat. Google, Facebook, and others are doing something similar.
Tesla hat die Chips selbst entwickelt, ebenso die dazugehörige Software, die die Hardware ergänzt.
But at the Hot Chips conference Tuesday, chip designers showed how heavy optimizations in Tesla's custom AI chips dramatically boosted performance -- a factor of 21 compared to the earlier Nvidia chips.
For another, it's got an extremely limited set of instructions it can process.
Tesla, for all its promises of a self-driving future, still only provides what’s known as Level 2 autonomy: a driver-assisted mode where vehicles can accelerate, brake, and steer on their own but only in controlled settings with drivers ready to take control. Once the Full Self-Driving Computer (Hardware 3.0 / AP3) arrives in 2019, owners of older models can swap out for new computers if they have paid for the Full Self-Driving option. That performance is possible because Tesla optimized the chips for self-driving cars and dropped anything more general purpose, said Debjit Das Sarma, another Tesla chip designer and former AMD engineer. Each FSD contains two chips, and each chip has two accelerators that are specially designed to run neural networks, the AI components Tesla’s cars use to read the road. Each Tesla computer has two AI chips, a redundant design for better safety, Venkataramanan said.
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