Guangzhou Jiatu Digital Technology

Operating out of Guangzhou, Guangzhou Jiatu Digital Technology is a digital twin specialist. Their core offerings span digital marketing, data analytics, and software development, enabling clients to enhance their digital campaign performance and streamline business processes through tailored digital strategies.

As a provider of digital twin services, Jiatu needs to showcase their work through live client demonstrations. Because digital twin software and its associated project files are quite resource-heavy, most firms are hesitant to take on the cost of expensive cloud servers. Consequently, Jiatu hosts their proprietary digital twin software and project files on their own on-premises servers.

Whenever the team had to present a project, it meant travelling to the client's site and then remotely accessing Jiatu's internal network. All too often, the company’s internet connection lacked sufficient bandwidth, resulting in slow-loading demo pages and occasional freezing. The end result was that demos consistently fell short of the polished quality they aimed for.

DaDesktop cloud desktops deliver higher specifications at a more affordable price point than traditional cloud server providers—think better CPUs, expanded memory, superior graphics processing, and quicker storage. Leveraging solid-state drives with PCIe 4.0 support, read and write speeds can hit 5000 MB/s. With average bandwidth exceeding 500 Mbps, DaDesktop is a perfect fit for Jiatu to operate their digital twin products and services, guaranteeing fluid and reliable client demos.

Since moving to DaDesktop, the digital twin system now performs seamlessly on the cloud desktop. Client demonstrations have become smooth and consistently professional. This led to more frequent project approvals and a noticeable increase in their deal closure rate. The solution is also considerably more cost-effective than investing in big-brand cloud servers or maintaining a local server fleet. DaDesktop lets them scale hardware resources on the fly and only pay for the hours actually consumed, significantly cutting down on both hardware and network expenditure.