![]() ![]() Once a card is created, it can also be paused so it will not authorize any further transactions until the pause is removed. cards don’t lock to a vendor until they’re used for the first time. If a card named Netflix is used on Amazon it will be tied to Amazon, not Netflix. IDGįor some vendors, offers multiple card icons. One issue with is that sometimes its anti-fraud filters can flag an account for unusual behavior. This happened during testing when we tried to make a purchase from a popular online bookseller (not Amazon). ’s filters paused the entire account, which made it impossible to make purchases. The problem was we didn’t see any kind of notification within the account detailing what went wrong. The company also didn’t send an email with a fraud alert. Everything just went dark with a small toast notification telling us to contact support. Not a particularly good customer communication on the company’s part. It’s happening, and it’s happening early. GPU acceleration for Linux apps on Chrome OS has arrived. According to a recent report, Chromebooks with ‘Eve’ and ‘Nami’ baseboard should now, or very soon, be able to try GPU hardware acceleration. GPU acceleration allows applications to fully leverage the GPU of a device to better run graphic-intensive tasks, like gaming. The feature will make for a much smoother Linux apps experience for Chromebook users.Īt this point I’m really worried. You see, I cancelled my off-site Amazon Glacier backups around 6 months ago. What are the chances of both a 4 disk RAID failing AND a USB drive at the same time? Not likely, I thought. I trust you’ve heard by now that HTTP/3 is coming. It is the next destined HTTP version, targeted to get published as an RFC in July 2019. ![]() It will only be performed over QUIC, which is a transport protocol replacement for TCP that always is done encrypted. The term “Supercomputer” implies one gigantic computer many times more powerful than your simple laptop, but that couldn’t be farther from the case. Supercomputers are made up of thousands of smaller computers, all hooked up together to perform one task. Each CPU core in a datacenter probably runs slower than your desktop computer. It’s the combination of all of them that makes computing so efficient.
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