Home / News & Analysis / Apple’s iCloud user data in China is now handled by a state-owned mobile operator

Apple’s iCloud user data in China is now handled by a state-owned mobile operator

If you’re an Apple customer living in China who didn’t already opt out of having your iCloud data stored locally, here’s a good reason to do so now. That information, the data belonging to China-based iCloud users which includes emails and text messages, is now being stored by a division of China Telecom, the state-owned telco.

The operator’s Tianyi cloud storage business unit has taken the reins for iCloud China, according to a WeChat post from China Telecom. Apple separately confirmed the change to TechCrunch.

Apple’s transition of the data from its own U.S.-based servers to local servers on Chinese soil has raised significant concern among observers who worry that the change will grant the Chinese government easier access to sensitive information. Before a switch announced earlier this year, all encryption keys for Chinese users were stored in the U.S. which meant authorities needed to go through the U.S. legal system to request access to information. Now the situation is based on Chinese courts and a gatekeeper that’s owned by the government.

Apple itself has said it was compelled to make the move in order to comply with Chinese authorities, and that hardly eases the mind.

It’s ironic that the U.S. government has pursued Chinese telecom equipment maker ZTE on account of national security and suspected links to Chinese authorities, and yet one of America’s largest corporates is entrusting user data to a state-owned company in China.

The only plus for Apple users in China is that they can opt out of local data storage by selecting a country other than China for their iCloud account. Since it isn’t clear whether making that change today would see information migrated or deleted from the Chinese server, starting over with a new account is probably the best option at this point.

Hat tip @yuanfenyang

Read more

Check Also

Nvidia’s new Turing architecture is all about real-time ray tracing and AI

In recent days, word about Nvidia’s new Turing architecture started leaking out of the Santa Clara-based company’s headquarters. So it didn’t come as a major surprise that the company today announced during its Siggraph keynote the launch of this new architecture and three new pro-oriented workstation graphics cards in its Quadro family. Nvidia describes the new Turing architecture as “the greatest leap since the invention of the CUDA GPU in 2006.” That’s a high bar to clear, but there may be a kernel of truth here. These new Quadro RTx chips are the first to feature the company’s new RT Cores. “RT” here stands for ray tracing, a rendering method that basically traces the path of light as it interacts with the objects in a scene. This technique has been around for a very long time (remember POV-Ray on the Amiga?). Traditionally, though, it was always very computationally intensive, though the results tend to look far more realistic. In recent years, ray tracing got a new boost thanks to faster GPUs and support from the likes of Microsoft, which recently added ray tracing support to DirectX. “Hybrid rendering will change the industry, opening up amazing possibilities that enhance our lives with more beautiful designs, richer entertainment and more interactive experiences,” said Nvidia CEO Jensen Huang. “The arrival of real-time ray tracing is the Holy Grail of our industry.” The new RT cores can accelerate ray tracing by up to 25 times compared to Nvidia’s Pascal architecture, and Nvidia claims 10 GigaRays a second for the maximum performance. Unsurprisingly, the three new Turing-based Quadro GPUs will also feature the company’s AI-centric Tensor Cores, as well as 4,608 CUDA cores that can deliver up to 16 trillion floating point operations in parallel with 16 trillion integer operations per second. The chips feature GDDR6 memory to expedite things, and support Nvidia’s NVLink technology to scale up memory capacity to up to 96GB and 100GB/s of bandwidth. The AI part here is more important than it may seem at first. With NGX, Nvidia today also launched a new platform that aims to bring AI into the graphics pipelines. “NGX technology brings capabilities such as taking a standard camera feed and creating super slow motion like you’d get from a $100,000+ specialized camera,” the company explains, and also notes that filmmakers could use this technology to easily remove wires from photographs or replace missing pixels with the right background. On the software side, Nvidia also today announced that it is open sourcing its Material Definition Language (MDL). Companies ranging from Adobe (for Dimension CC) to Pixar, Siemens, Black Magic, Weta Digital, Epic Games and Autodesk have already signed up to support the new Turing architecture. All of this power comes at a price, of course. The new Quadro RTX line starts at $2,300 for a 16GB version, while stepping up to 24GB will set you back $6,300. Double that memory to 48GB and Nvidia expects that you’ll pay about $10,000 for this high-end card.

Leave a Reply

Your email address will not be published. Required fields are marked *

Disclaimer: Trading in bitcoins or other digital currencies carries a high level of risk and can result in the total loss of the invested capital. theonlinetech.org does not provide investment advice, but only reflects its own opinion. Please ensure that if you trade or invest in bitcoins or other digital currencies (for example, investing in cloud mining services) you fully understand the risks involved! Please also note that some external links are affiliate links.