An artful Electric car maker, Tesla is well known for its elusive sense of slant beyond one’s perception has kept the company moving in a convoluted path. Meanwhile, the company has the forethought to jack up its electric vehicle production by an unprecedented scale in the coming days; alongside its lucid textured innovations, it would demand many backups to keep the company sprinting in the line.
Tesla and Annex Joint Venture
The company might need battery raw materials for computer chips. The company has now teamed up with the IC design company Annex and has established a joint venture in Jinan, Shandong, China, with a bagged capital of US$150 million. It depicts that Tesla is not only using TSMC’s colossal production capacity to offer a vital source for its own automotive and supercomputing chips but also super fastly alighting the automotive chip designs.
Swiss Company, Annex
Among the registered capital of 150 million US dollars, Annex secures 55% of the shares subsequently by Jinan Zurich Annex Equity Investment Fund Partnership, which bags 40% of the shares, and the remaining 5% of the claims are secured by Tesla.
Tesla Secured Huge Orders for Chips
The report from foreign media highlighted that the Elon Musk-owned Tesla had locked a more extensive set of orders for chips developed with a 4/5 nanometer advanced process from TSMC. Therefore, the order set from Tesla is considered a larger junction that Tesla will become one of TSMC’s top seven customers in 2023.
In addition, a short time ago, Tesla brought off a futuristic and rejuvenated venison of the Autopilot chip. The chip is responsible for handling a few moments inside the car; the chip is the center of the Tesla electric car, jumping into the eight high-resolution lenses and a neural network pressing image information.
The user might communicate with the Autopilot chip to make relevant decisions. Furthermore, Tesla plans to construct its first supercomputing plant in 2023, one of seven hexapods. The company plans to increase the training of its Autopilot self-driving neural network.