NVIDIA debuted its Drive PX2 in-car supercomputer at CES in January, and now the company is showing off the Parker system on a chip powering it. The 256-core processor boasts up to 1.5 teraflops of juice for "deep learning-based self-driving AI cockpit systems," according to a post on NVIDIA's blog. That's in addition to 24 trillion deep learning operations per second it can churn out, too. For a perhaps more familiar touchpoint, NVIDIA says that Parker can also decode and encode 4K video streams running at 60FPS -- no easy feat on its own.

However, Parker is significantly less beefy than NVIDIA's other deep learning initiative, the DGX-1 for Elon Musk's OpenAI, which can hit 170 teraflops of performance. This platform still sounds more than capable of running high-end digital dashboards and keeping your future autonomous car shiny side up without a problem, regardless.

On that front, NVIDIA says that in addition to the previously-announced partnership with Volvo (which puts Drive PX2 into the XC90), there are currently "80 carmakers, tier 1 suppliers and university research centers" using Drive PX2 at the moment. For the rest of the nitty-gritty details, be sure to hit the source link below.

Source:
courtesy of ENGADGET

by Timothy J. Seppala

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