Nvidia Moves Self-Driving Car Tests from Road to Data Center

  • Nvidia Moves Self-Driving Car Tests from Road to Data Center

Nvidia Moves Self-Driving Car Tests from Road to Data Center

(NVDA) announced on Tuesday that it will suspend its self-driving vehicle tests around the world.

With Huang noting that GPU acceleration for deep learning inference is gaining traction, NVIDIA also unveiled a series of new technologies and partnerships that expand its inference capabilities for hyperscale data centers, offering support for capabilities such as speech recognition, natural language processing, recommender systems, and image recognition.

Speaking at the GTC 2018 conference in San Jose, California, Nvidia CEO Jensen Huang acknowledged the Uber fatality, noting that while autonomy is where the transportation industry is headed, "Safety is the single most important thing". The additional memory can afford factors of multiple improvements in throughput due to the data being stored in local memory on the GPU complex, versus having to fetch out of much higher latency system memory, as the GPU crunches data iteratively.

The second server is Nvidia's Drive Pegasus AI auto computer that runs a full autonomous-vehicle software stack, processing the simulated data the same way it would process data from a real self-driving auto.

At the company's annual GTC Summit in San Jose, California, Nvidia founder and CEO Jensen Huang announced a two-server solution that simulates data generated by a self-driving vehicle and trains a driving algorithm using that data.

Nvidia had been testing driverless vehicle technology around the world in locations such as Santa Clara, Calif., where the company is headquartered, as well as in New Jersey, Japan and Germany.

Driving commands from DRIVE Pegasus are fed back to the simulator, completing the digital feedback loop. "With DRIVE Constellation, we've accomplished that by combining our expertise in visual computing and datacenters".

The system is based on two servers with one simulating the vehicle's sensors and the other the vehicle's software that processes the simulation data. "With virtual simulation, we can increase the robustness of our algorithms by testing on billions of miles of custom scenarios and rare corner cases, all in a fraction of the time and cost it would take to do so on physical roads".

Reuters separately reported Nvidia will suspend self-driving auto tests in the wake of last week's fatal crash in Tempe, Ariz. involving a Uber Technologies autonomous vehicle. "NVIDIA's end-to-end platform is the right approach. DRIVE Constellation for virtually testing and validating will bring us a step closer to the production of self-driving cars". This time, it's announcing the actual product, which it expects to make available to early access partners in the third quarter.