Nvidia is building its own machine-learning system for cars, and its GPUs are already being used in deep-learning systems from Facebook, Google, Microsoft and IBM.
The Drive PX 2 delivers about 8 teraflops of performance with the new chips, a significant improvement over the Drive PX 1, which had Tegra X1 and clocked in at 2.3 teraflops. Some of the improvements also come from the 16-nanometer FinFET manufacturing process, which has helped cram more features and bring more power-efficiency to the chips. Transistors will be stacked on top of each other in the chips.
In the detailed talk about self-driving cars and the Drive PX 2, Huang left the new Tegra CPU and Pascal GPU as a side note.
Drive PX 2 is "not a chip strategy, it's not a processor strategy," but more of a strategy to build full computers for cars and other products, Huang said.
But there's a possibility Nvidia could spill some technical details on the new chip later this year.
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