The progress of ideal self-research chip has been exposed: an office has been set up in Singapore with a team of more than 160 people.
Thank CTOnews.com netizens for the past, Mr. Aviation's clue delivery! CTOnews.com, November 21, according to a report by LatePost later, in the aspect of chip self-development, it is ideal to develop both AI reasoning chips for intelligent driving scenarios and SiC power chips for driving motor controllers.
Reported that ideal is currently setting up a team in Singapore to engage in the research and development of SiC power chips. In the workplace application LinkedIn, you can see the ideal five recent job postings in Singapore, including: general Manager, SiC power module fault analysis / physical analysis expert, SiC power module design expert, SiC power module process expert and SiC power module electrical design expert.
The report also said that the AI reasoning chip for intelligent driving is the ideal current research and development focus. Ideal research and development of the whole SoC (System on a Chip, system-on-chip), in which the most critical link is the front-end design of the reasoning model acceleration unit NPU. The ideal plan is to outsource the back-end design to Shixin Electronics in Taiwan, and then hand it over to TSMC to complete the manufacturing. In late October this year, the ideal intelligent driving chip research and development team has completed the assembly and closure in Shanghai, ready to surprise streaming. In the chip industry, "chip" is trial production, which means that after the R & D team has designed the circuit, it will first produce a small number of chips for testing.
At present, the overall staff size of the ideal chip department is more than 160, distributed in Beijing, Shanghai, Silicon Valley and Singapore. Some departments have begun to implement the "big and small week" (one-and-two-day cycle) mechanism.
In January this year, ideal car CEO Li Xiang said in the company's annual letter that ideal car's vision is to become "the world's leading artificial intelligence company" by 2030. "Intelligent electric vehicles with self-driving capabilities will become the earliest artificial intelligence robots and create the mother ecology of artificial intelligence in the physical world: from AI algorithms to life-changing AI products, from AI operating systems to AI reasoning chips, from AI training platforms to AI training chips," Li said.
As of the press release of CTOnews.com, ideal Motor has not been officially responded to.
