In brief: Apple's much anticipated AR/VR headset is at least one year away from being ready, but the company has been making significant progress in designing the custom silicon that will make it work. Now we know the device will offload most rendering work and depend on an iPhone or Mac for internet connectivity and location services.
Apple has long been rumored to be working on an augmented/virtual reality headset, and it looks like it will need to be tethered to an iPhone to be useful in any way
Apple is in the process of switching its PCs to Arm-based SoCs, but the company might not be putting all its eggs into one basket, as it is also exploring the emerging open-source RISC-V architecture. This week the company posted a job alert for RISC-V high-performance programmer(s).
Apple is currently looking for experienced programmers with detailed knowledge of the RISC-V Instruction Set Architecture (ISA) and Arm's Neon vector ISA for its
When Apple announced its M1 processor, the chip became the first design to feature this hybrid CPU core arrangement of bigger, high-performance cores paired with smaller, lower-power cores. Of course, we already know that these big cores perform well, but we haven't seen the small cores run through a head-to-head benchmarking gauntlet yet. The Eclectic Light Company blog has now shone a light on the matter, though, so we're getting a view
In brief: With the Tensor chip on the upcoming Pixel 6 and Pixel 6 Pro, Google is looking to create aspirational phones for the Android market. However, the company's ambitions extend well beyond phones, so it's also developing custom silicon for new Chrome OS hardware that could land on the market as early as 2023.
Last month, Google said it would debut the first Pixel phone lineup to be powered by a custom-built chipset, which will not only reduce its reliance on Qualcomm
Just like other high-tech giants, Google is working on its own custom system-on-chips that will power PCs and tablet that run its Chrome operating system. The new SoCs are projected to offer capabilities not available on chips used by Chromebooks today and will likely make such machines more competitive. But the new SoCs won't arrive for a few more years.
Google's SoCs for Chromebooks and tablets will be based on Arm's architecture, Nikkei reports. Unfortunately,
TAIPEI -- Google is developing its own central processors for its notebook and tablet computers, the latest sign that major tech players see in-house chip development as key to their competitiveness.
The U.S. internet giant plans to roll out the CPUs for laptops and tablets, which run on the company's Chrome operating system, in around 2023, three sources with knowledge of the matter told Nikkei Asia.
Google is also ramping up its efforts to build mobile processors for its Pixel smartphones and other
AMD's next-generation Threadripper Pro 5995WX may be the hottest news in CPU enthusiast circles right now. However, two Threadripper Pro 3995WX (via Reddit ) recently established a new CPU record in PassMark .
A pair of EPYC 75F3 processors previously held the record, with a score of 110,748 CPU marks. The dual-Threadripper Pro 3995WX configuration put up a 12
Today, thanks to the Twitter user Jared McNeill , we have witnessed a first boot-up process of NetBSD OS on Apple's M1 processor. NetBSD is an open-source "UNIX-like" operating system, with an emphasis on speed, security and portability. This is one more step toward enabling the M1 chip for operating systems other than Apple's own macOS.
NetBSD is an open-source project based on Berkeley Software Distribution (BSD). It follows
AMD announced that the U.S. Department of Energy's (DOE) Argonne National Laboratory (Argonne) has chosen AMD EPYC processors to power a new supercomputer, called Polaris, which will prepare researchers for the forthcoming exascale supercomputer at Argonne called Aurora. Polaris is built by Hewlett Packard Enterprise (HPE), will use 2nd Gen EPYC processors and then upgrade to 3rd Gen AMD EPYC processors, and will allow scientists and developers to test and optimize software codes and applications to tackle a range of AI,
