Case Study: VisualCamp boosts deep learning performance and reduces latency with Alibaba Cloud

VisualCamp processes 3 to 5 million frames a day with Alibaba Cloud

VisualCamp, a company specializing in AI-powered eye-tracking technology, faced significant challenges when expanding into China. They lacked the computing resources to run their deep learning models, causing development bottlenecks, and their Chinese customers were dissatisfied with slow speeds and poor accessibility. To address these development and latency problems, VisualCamp chose to migrate to Alibaba Cloud.

Alibaba Cloud implemented a solution using its Elastic GPU Service, which provided the necessary power for deep learning algorithms. The vendor set up instances in multiple locations, including Beijing and Shanghai, to improve latency and better serve local customers. This resulted in VisualCamp being able to process up to 5 million frames of data daily and deliver products to customers faster. The migration also increased operational efficiency, saving the company both time and money through better resource allocation.

VisualCamp