Article note: Bullshit plumbing built out of shaky, haphazardly composed layers of bullshit to vaguely ape existing designs, by the webtard community who only know how to work that way.
I'm ready for Singularity to fuck up the rest of the Linux container space.
Article note: Intel's fab situation the last few years has been fascinating.
In its earnings conference call, Intel has warned that chip shortages are set to continue into the third quarter of the year, However, the company has also said that its 10nm manufacturing process is improving faster than anticipated and that it will be able to sell more 10nm chips this year than previously predicted.
Intel's troubled migration to its 10nm manufacturing process has had many consequences in the wider computing industry. Gartner and IDC both say that some of the shrinkage of the PC market is due to a lack of processors, and companies such as Microsoft have stated that their financial performance would have been better were it not for the shortages. Intel was expected to be building a wide range of mainstream processors on its 10nm at this point, reducing the pressure on its 14nm facilities. The delay to 10nm has prevented this.
So great is the demand for 14nm manufacturing capacity that in some areas the company has even had to go backwards. Most 300-series chipsets, introduced with Coffee Lake processors, are built on 14nm. In December last year, Intel released a new chipset, B365, aimed at mainstream consumer and corporate desktops. This chipset is built on the previous generation 22nm process to free up 14nm capacity. It's also believed that the company has issued a 22nm version of the H310 chipset, called H310C. These moves both enable the company to use its limited 14nm manufacturing capacity for chips with a higher margin than these chipsets. The company has also invested $1.5 billion on machinery to increase its 14nm output.
Where most of the users’ time will be spent in routine operation of the product, and where learning is only a small part of the picture, designing for productivity – even if it requires retraining- is often the correct decision.