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Archive for the ‘computing’ category: Page 295

Mar 30, 2022

Samsung and Western Digital Team Up for ZNS SSDs

Posted by in categories: computing, electronics

The two storage companies will jointly develop and promote zoned storage technologies.

Mar 29, 2022

Asus will lower some GPU prices up to 25% following tariff changes

Posted by in category: computing

It’s not the end of the GPU shortage, but it’s a promising sign.

Mar 29, 2022

NVIDIA Releases GeForce RTX 3090 Ti: Ampere the All-Powerful

Posted by in category: computing

Back in January during their CES 2022 keynote, NVIDIA teased the GeForce RTX 3,090 Ti, an even more powerful version of NVIDIA’s flagship card for the high-end gaming and content creation markets. At the time, NVIDIA told us to expect more information later in January, only for January (and February) to come and go without further mention of the card. But now, in the waning days of March, the GeForce RTX 3,090 Ti’s day has come, as NVIDIA is launching their new flagship video card today.

So what is the RTX 3,090 Ti? In short, it’s every last bit of performance that NVIDIA can muster out of their Ampere architecture – the swan song for an architecture that has carried NVIDIA through the last 18 months. Whereas the original RTX 3,090 left a bit of performance on the table for yield or performance reasons, such as a couple of SMs or keeping TDPs to just 350 Watts, RTX 3,090 Ti leaves all of that behind. It’s all the Ampere that Ampere can be, with a fully-enabled GA102 GPU, better GDDR6X memory, and few (if any) limits on performance.

But Ampere unconstrained is going to cost you. While the original RTX 3,090 launched at an already high $1499, RTX 3,090 Ti ratchets that up further to $1999. And ongoing market distortions (i.e. the chip crunch) will likely compound that further, judging from RTX 3,090 prices. But regardless, the RTX 3,090 Ti isn’t priced to be competitive; it’s priced to be elite. NVIDIA never did produce a true Titan card for this generation, so the RTX 3,090 Ti is set to be the next best thing.

Mar 28, 2022

Hunter Biden helped secure millions for biotech research Ukraine

Posted by in categories: biotech/medical, computing

Hunter Biden DID help secure millions in funding for US contractor in Ukraine specializing in deadly pathogen research, laptop emails reveal, raising more questions about the disgraced son of then vice president. This Biolabs Biden Jr.’s scandal is what the U.S. media try to hush up… but not for long.


Email emails and correspondence obtained by DailyMail.com from Hunter’s abandoned laptop show he helped secure millions for Metabiota.

Continue reading “Hunter Biden helped secure millions for biotech research Ukraine” »

Mar 28, 2022

Phison: Enthusiast PCIe 5.0 SSDs Will Require Active Cooling

Posted by in categories: computing, electronics

Active cooling will be required for high-performance PCIe 5.0 SSDs, as other drives will get hotter.

Mar 26, 2022

Revamped design could take powerful biological computers from the test tube to the cell

Posted by in categories: biotech/medical, computing

Tiny biological computers made of DNA could revolutionize the way we diagnose and treat a slew of diseases, once the technology is fully fleshed out. However, a major stumbling block for these DNA-based devices, which can operate in both cells and liquid solutions, has been how short-lived they are. Just one use and the computers are spent.

Now, researchers at the National Institute of Standards and Technology (NIST) may have developed long-lived biological computers that could potentially persist inside . In a paper published in the journal Science Advances, the authors forgo the traditional DNA-based approach, opting instead to use the nucleic acid RNA to build computers. The results demonstrate that the RNA circuits are as dependable and versatile as their DNA-based counterparts. What’s more, living cells may be able to create these RNA circuits continuously, something that is not readily possible with DNA circuits, further positioning RNA as a promising candidate for powerful, long-lasting biological computers.

Much like the computer or smart device you are likely reading this on, biological computers can be programmed to carry out different kinds of tasks.

Mar 26, 2022

Life’s Preference for Symmetry Is Like ‘A New Law of Nature’

Posted by in categories: biological, computing

Techniques from computer science may help explain the tendency in biology for structures to repeat themselves.

Mar 25, 2022

Nvidia Unveils 144-core Grace CPU Superchip, Claims Arm Chip 1.5X Faster Than AMD’s EPYC Rome

Posted by in category: computing

At GTC 2022, Nvidia CEO Jensen Huang finally shared more details around the company’s Arm endeavors as he unveiled the company’s new 144-core Grace CPU Superchip, the company’s first CPU-only Arm chip designed for the data center. The Neoverse-based system supports Arm v9 and comes as two CPUs fused together with Nvidia’s newly branded NVLink-C2C interconnect tech. Nvidia claims the Grace CPU Superchip offers 1.5X more performance in a SPEC benchmark than two of the last-gen 64-core AMD EPYC processors in its own DGX A100 servers, and twice the power efficiency of today’s leading server chips. Overall, Nvidia claims the Grace CPU Superchip will be the fastest processor on the market when it ships in early 2023 for a wide range of applications, like hyperscale computing, data analytics, and scientific computing.


Nvidia unveiled its new 144-core Arm-based Grace CPU Superchip at GTC 2022 along with a host of new interconnect technologies.

Mar 25, 2022

China to spend $150 billion to boost chip manufacturing

Posted by in categories: computing, government

Mar 25, 2022

Experimental photonic quantum memristor

Posted by in categories: computing, quantum physics

We have designed an optical memristive element that allows the transmission of coherent quantum information as a superposition of single photons on spatial modes. We have realized the prototype of such a device on a glass-based, laser-written photonic processor and thereby provided what is, to the best of our knowledge, the first experimental demonstration of a quantum memristor. We have then designed a memristor-based quantum reservoir computer and tested it numerically on both classical and quantum tasks, achieving strong performance with very limited physical and computational resources and, most importantly, no architectural change from one to the other.

Our demonstrated quantum memristor is feasible in practice and readily scalable to larger architectures using integrated quantum photonics, with immediate feasibility in the noisy intermediate-scale quantum regime. The only hard limit for larger scalability—as with most quantum photonic applications—is the achievable single-photon rate. A foreseeable advancement would be the integration of optical and electronic components within the same chip (rather than using external electronics), which is conceivable using current semiconductor technology. Additionally, the frequency at which our quantum memristor operates can be easily improved. For laser-written circuits, high-frequency operations are readily available at the expense of higher-power consumption28, whereas other photonic platforms routinely enable frequencies even in the gigahertz regime43. For exploiting these frequencies, however, the photon detection rate must be improved as well.