Using NVIDIA GPUs for training machine learning algorithms
Utilizing NVIDIA Drive for Level 4 Autonomous Driving Inference
Providing cloud computing services through the establishment of AI infrastructure

NVIDIA is collaborating with Chinese mobile transportation platform company Didi Chuxing to develop solutions for autonomous driving and cloud computing.
Under the agreement, Didi uses NVIDIA GPUs for training machine learning algorithms and utilizes NVIDIA DRIVE for autonomous driving Level 4 inference.

NVIDIA Drive fuses data from all types of sensors, including cameras, Lidar, and radar, through numerous deep neural networks as part of the centralized AI processing of Didi's autonomous vehicles. By utilizing this, NVIDIA can understand the 360-degree environment surrounding the vehicle and plan a safe route.

Didi plans to use NVIDIA GPU data center servers for training deep neural networks and build AI infrastructure for cloud computing, and then launch virtual GPU (vGPU) cloud servers for computing, rendering, and gaming.

Didi Cloud plans to adopt a new vGPU licensing mode to provide a rich user experience, application scenarios, and efficient GPU cloud computing services.

"Developing safe autonomous vehicles requires end-to-end AI not only in the cloud but also in the vehicle," said Rishi Dal, Vice President of Autonomous Vehicles at NVIDIA. "Through NVIDIA AI, Didi is now able to develop safer and more efficient transportation systems and provide a wide range of cloud services."