Elon Musk says Tesla plans to invest $1B in its Dojo supercomputer over the next year. The project, which was officially announced during Tesla's AI Day in 2021, aims to enhance Tesla's Full Self Driving (FSD) feature by training machine learning models on video data from its vehicles. So far, Tesla has relied on an Nvidia-powered supercomputer, but it now aims for a custom-built solution and self-designed chips. - This can provide increased control over confidential driver data following a recent data leak and limited availability of Nvidia's GPUs.
- Tesla has gathered over 300 million miles of video data from its vehicle cameras and sensors to enhance FSD through machine-learning training.
- The Dojo supercomputer, now expected to be completed by 2024, will leverage that data.
- Tesla aims to achieve an in-house compute capability of 100 exaFLOPS by next year.
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