DiDi will use NVIDIA GPUs in the data center for training machine learning algorithms and NVIDIA DRIVE for inference on its Level 4 autonomous driving vehicles. In August, DiDi upgraded its autonomous driving unit into an independent company and began a wide range of collaborations with industry partners.
As part of the centralized AI processing of DiDi’s autonomous vehicles, NVIDIA DRIVE enables data to be fused from all types of sensors (cameras, lidar, radar, etc.) using numerous deep neural networks (DNNs) to understand the 360-degree environment surrounding the car and plan a safe path forward.
“Developing safe autonomous vehicles requires end-to-end AI, in the cloud and in the car,” said Rishi Dhall, Vice President of Autonomous Vehicles at NVIDIA. “NVIDIA AI will enable DiDi to develop safer, more efficient transportation systems and deliver a broad range of cloud services.”
To train these DNNs, DiDi will use NVIDIA GPU data center servers. For cloud computing, DiDi will also build an AI infrastructure and launch virtual GPU (vGPU) cloud servers for computing, rendering and gaming.
DiDi Cloud will adopt a new vGPU license mode to provide users with better experiences, richer application scenarios and more efficient, flexible GPU cloud computing services. Currently, DiDi Cloud is collaborating with industry partners including NVIDIA to provide services in transportation, AI, graphics rendering, video games and education.
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