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Nvidia Drive PX 2 to pack the power of 6 Titan X GPUs and enable self-driving cars

Gordon Mah Ung | Jan. 6, 2016
Think of the PX Drive 2 as an AI supercomputer in a lunch box.

nvidia drive px 2
Nvidia CEO Jen-Hsun Huang holds the company's new Drive PX2 that will feature more computational power than six GeForce Titan X cards and will power self-driving cars. Credit: Gordon Mah Ung

Nvidia’s new Drive PX2 will feature more computing power than 150 MacBook Pro laptops or six GeForce Titan X cards and can be used by any car company to make self-driving cars, the company announced Monday night.

”Nvidia’s GPU is central to advances in deep learning and supercomputing,” said Nvidia CEO Jen-Hsun Huang. “We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness.”

Huang said the new Drive PX2 would pack two next-generation Tegra CPUs as well as two next-gen Pascal GPUs, and be built on a 16nm FinFET process. That would give it a four times the computational power of the original Drive PX2 module announced last year.

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Nvdia’s Drive PX 2 will be the size of a lunch box yet will pack more power than 150 laptops. Credit: Nvidia

Why the need for so much power? The company said it’s necessary to make truly capable self-driving cars that can deal with the chaotic driving conditions a typical driver might face on the road. Drive PX2 can simultaneously analyze the feeds from 12 cameras plus multiple LIDAR, radar, and other sensors.

If that sounds like a lot of data to analyze in real time, it is—and that’s why Nvidia said it gave it 8 teraflops of performance, or 24 deep-learning TOPs or trilliongs of operations per second.

Pat Moorhead, principal analyst at Moor Insights and Strategy said Nvidia does have a performance edge.

”First, the entire industry underestimated the amount of processing power to successfully run a self driving car. They did this because they underestimated the amount of data points,” Moorhead said. “Nvidia has an advantage here because DNN, or deep neural networks, running on GPUs were required for proper object detection, recognition, and response. DSPs and FPGAs are trying to catch up in this space. Back of the envelope calculations, I think PX2 has the right level of performance but will need to get significantly lower in power to be reliably fan cooled in the most adverse and hot environments.”

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Nvidia’s Drive PX 2 module can analyze up to 12 video streams plus LIDAR and RADAR streams in real time. Credit: Melissa Riofrio

Off the shelf solution

Nvidia has no plans to make its own cars, instead, it will offer the module to car companies who don’t want to or can’t reinvent the wheel or compete with tech giants who are pouring money into it.

 

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