Huawei's competitors use Nvidia's intelligent driving chips, and Xu Zhijun has already stated his position!
Huawei has been fully involved in the automotive field for a long time, developing the main components required for intelligent and connected cars.
For example, Huawei's self-developed autonomous driving chips, on-board chips, autonomous driving technology, three-electric systems, and lidar are all leading in the industry.
Among them, Huawei has launched the industry's first medium- and long-range 192 lidar, and Huawei's self-developed motor speed exceeds 25,000 rpm, which is at the world's leading level.
Huawei has also successfully led the way when it comes to autonomous driving, saying that NCA capabilities can be driven nationwide and getting better and better, and are already already available to owners of cars such as the Insul M5.
After the release of Huawei's Mate60Pro, ASML said that Huawei's self-developed semiconductor chip industry chain is a subversion of the global industry chain.
Huang believes that Huawei is one of the strongest competitors in the field of artificial intelligence chips.
Huawei can provide complete automotive solutions, including software and hardware such as chips and lidar, and is already ahead of the curve, so many companies such as Xiaomi Ideal have also announced the adoption of NVIDIA's intelligent driving platform.
There is a reason why companies such as Xiaomi Ideal continue to use Nvidia chips, etc., despite the fact that the United States has changed the rules several times.
First of all, Nvidia is indeed a leader in the field of artificial intelligence and autonomous driving chips, such as self-driving chips launched in 2015, and Tesla's first model also uses NVIDIA chips.
After the advent of artificial intelligence, NVIDIA's top chips were directly sold out, and the whole world was sweeping NVIDIA chips just because of its powerful computing power.
Nvidia's strong point is GPUs, and autonomous driving technology needs to analyze a large number of road images to guarantee computing, and some car companies are even using two Nvidia chips.
It can be seen from this that manufacturers will naturally be very cautious when choosing chips about how difficult it is to drive autonomous driving. Huawei is also very advanced, and Huang acknowledges it, but not to the point of surpassing it.
It is very important to recognize the reality, Xu Zhijun is shouting, calling on domestic manufacturers to use more domestic chips and other products to accelerate the development of the industrial chain, in fact, he is also hinting that domestic chips are still insufficient, but beyond nvidia and other giants, domestic manufacturers need support.
Secondly, since the player is also a referee, the seller does not like this kind of ** business.
When Microsoft launched the Surfac series, a large number of PC manufacturers objected, but had no choice. Huawei faces the same situation, but automakers have a lot of options.
Huawei has automotive chips, autonomous driving chips, and leading technology, but Huawei is also making cars, and Yu Chengdong, who won the World Series Intelligence, revealed that Huawei still has two worlds.
Intelligent driving assistance technology is the main selling point of new energy vehicles, taking Xiaomi as an example, if Huawei's technology is adopted, it should undoubtedly be grafted by Huawei.
As competitive pressures increase, it is questionable whether it will be possible to stabilize and decentralize the latest technologies. You know, when valet parking technology is about to come out, Huawei will first launch the smart S7, not the Ask M7.
This is also the reason why the HarmonyOS system has not been adopted by major domestic mobile phone manufacturers so far.
Comparatively speaking, it is more reasonable to use NVIDIA's intelligent driving platform, without pressure from competitors, ideal Xiaomi, etc., without making chips, there is basically no risk of supply interruption.
In addition, manufacturers are also developing their own self-driving technology, but only using NVIDIA chips, and the main software is still in their own hands.
Finally, Huawei Mate60Pro was launched, and Huawei solved the chip problem and realized the domestic manufacturing of the Kirin 9000s chip, but Huawei and others did not announce the detailed parameters of the Kirin 9000s chip.
In addition, models such as the Huawei Mate60Pro have not yet gone on sale, which may mean that the chip production capacity has not been fully resolved.
Even if domestic manufacturers want to use Huawei's tablet computers, whether Huawei has export sales and whether the supply is stable are all variables. In this case, manufacturers are naturally more willing to choose Nvidia, which has a stable supply and more advanced technology.