To Develop its own chips based on artificial intelligence — it is quite a complex process. But Tesla — is one of the most progressive companies today and one of the pioneers in the field of creating self-driving cars. The company therefore believes that power and money is invested in . And Tesla recently unveiled its new AI chip, which is 21 times faster than the model from Nvidia, used in cars Tesla now. But to finally all «the finish», the company said that each new car, this chip will be not one but two.
Executive Director of Tesla Ilon Musk and his colleagues showed the new equipment (which, by the way, is the third generation of chips for self-driving cars) in April. But at the recent Hot Chips conference on Tuesday, the developers have told a lot of details. Apart from the already mentioned productivity in 21 times in comparison with chips from Nvidia, Tesla claim that the cost of production is lower than that of previous generation chips.
The Company needed more advanced equipment to achieve completely Autonomous cars — said Ganesh Venkataramanan, one of the developers of chips for Tesla and a former engineer AMD. It was clear that in order to achieve this result, we need to go beyond the boundaries of the used form-factor, and develop something of their own.
The Number of transistors used in the creation of the chip, really impressive: 6 billion. But the point here is, clearly, not the number of transistors and architecture. And production capacity of the company. Each will have two chip AI. The second is set to provide greater security. Each chip will have its own power source in order to protect the chips from failures.
This is interesting:
Each chip does its own assessment of what the car should do next. The computer compares the data and if they match, the car does what is planned. If the chips «do not agree», the machine tries to re-analyze the situation. Recently . And if you subscribed to our Novotny , you are surely aware of this event.
the New high-performance chip for self-driving cars Tesla
Each Tesla chip operates at a frequency of 2 GHz and perform 36 trillion operations per second. This performance is possible because Tesla optimized chips for self-driving cars and sent all the power to the data processing, which is important for Autonomous control. High performance was achieved through optimization of floating-point operations by writing data in 16-bit and 8-bit format. These data are read faster and, therefore, quickly written.
Also, the chip has 32 megabytes of high-speed SRAM, which means it does not need to wait during the retrieval of data from a much slower conventional memory DRAM that is used in such chips today.
Instead of spending all «power chip» to decrypt the data and retrieve them, we wanted to send the performance on the really important processes — says Das Sarma, member of the team developing the new chip.
The development of chip-based artificial intelligence it took 14 months and is now ready to be manufactured. It will have to answer in the factories which is to be assembled. All new models of cars Tesla will have at its disposal a high-performance chip. On the old version of the same car, assembled at the Tesla factories, instead of the previous model, will also be installed new device. And in the end all the cars coming down the Assembly line of Tesla, will be running the new chip.
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