CNBC reported on Wednesday that Tesla is inching closer to completing this #AI Chip.
According to CNBC, the first implementation of Tesla's in-house AI processor to be used in self-driving has already made with the help of AMD's manufacturing and intellectual property.
According to tech website WCCFTech, the new AI chip could be AMD's next-generation Navi graphics architecture.
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A senior official said that a driver who was carrying a Superintending Engineer, also injured, has received seriously injury. Indian troops and police personnel have cordoned off the area and launched a massive siege and search operation.
Neither Tesla nor Advanced Micro Devices confirmed the report, but it was given added weight by comments during a conference Thursday by AMD spinoff Global Foundries CEO Sanjay Jha that suggested it is working hand-in-hand with Tesla on such a chip, The Verge reported. "GlobalFoundries, which fabricates chips, has a wafer supply agreement in place with AMD through 2020".
CNBC reported on Wednesday Tesla is working with AMD to develop its own A.I. chip for self-driving cars. The 7nm-based Navi is scheduled to launch in 2019, the same year Musk promised to deliver Tesla's first-ever autonomous vehicle with self-driving capabilities. The company also stated that they do not comment on customers or potential customers' projects. Jim Keller, formerly the chief architect for AMD's microprocessors, is now VP of autopilot hardware at Tesla. Keller previously worked at AMD and Apple, particularly on the latter's A4 and A5 chips. He replaced Chris Lattner, another Apple veteran, who left Tesla last June. Since Keller's hiring, Tesla has also brought on other big talents from AMD like director Ganesh Venkataramanan, Bill McGee, a principal hardware engineer, and Dan Bailey, a system circuit design lead.
Tesla is known for its aspirations to vertically integrate its business as much as possible, and its partnership with AMD could be a move toward that goal.