On December 18, Drip announced a partnership with NVIDIA to develop self-driving and cloud computing solutions using NVIDIA GPUs and other technologies. It is reported that Drip will use NVIDIA GPU training machine learning algorithms in the data center, and NVDIA DRIVE to provide reasoning capabilities for its L4-class self-driving cars.
In the area of self-driving, Drip upgraded its self-driving division to an independent company in August and has worked extensively with industry chain partners. As part of the drip autopilot AI processing, NVIDIA DRIVE uses a number of deep neural networks to fuse data from a variety of sensors (cameras, lidar, radar, etc.) to achieve a 360-degree full understanding of the car’s surroundings and to plan a safe driving path. To train deep neural networks, drips will use NVIDIA GPU data center servers.
In cloud computing, Drip will build the AI infrastructure and launch compute, render, and gaming vGPU cloud servers. At present, Didiyun has worked with NVIDIA and other industry partners to serve transportation, AI, graphics rendering, video games and education and training and other fields.