Guangzhou Jiatu Digital Technology
About the Customer
Guangzhou Jiatu Digital Technology is a digital twin service provider based in Guangzhou. They specialise in digital marketing, data analysis, and software development. The company helps clients optimise their digital marketing performance and streamline business operations through tailored digital solutions.
Project Background
As a digital twin service provider, Jiatu needs to deliver live demonstrations of their digital twin projects to clients. Because digital twin software and project files are resource-intensive, and most organisations prefer to avoid the cost of high-end cloud servers, Jiatu hosts their in-house digital twin software and project files on their own local infrastructure.
The Problem
Whenever the team had to showcase a project, they would travel to the client’s site and remotely connect back to Jiatu’s internal network. The company’s internet connection frequently wasn’t up to the task, causing demo pages to load sluggishly and occasionally freeze. The presentations never quite reached the level of polish they were aiming for.
The Solution
DaDesktop cloud desktops deliver higher specifications at a lower price compared to traditional cloud server providers — superior CPU, increased memory, more powerful graphics, and speedier storage. With solid-state drives and PCIe 4.0 support, read and write speeds can hit 5000 MB/s. Average bandwidth exceeds 500 Mbps. This makes DaDesktop an ideal fit for Jiatu to run their digital twin products and services, guaranteeing smooth client presentations.
Results
After moving to DaDesktop, the digital twin system operates with impressive fluidity on the cloud desktop. Client demos now run without a hitch and look highly professional. Project approvals have become more frequent, and their deal win rate has climbed. The expense is significantly less than either purchasing well-known cloud servers or maintaining their own local infrastructure. DaDesktop enables them to reconfigure hardware specifications on the fly and pay only for the hours actively used, driving down both hardware and network costs.