Intel’s Horse Ridge 2 chip, packaged in this metal housing, is designed to simplify communications between a quantum processor and conventional computers.
The Horse Ridge 2 isn’t a quantum processor itself but is designed to solve the challenges of communicating with future quantum processors with thousands or more qubits. The processor is the second generation of a family that debuted in 2019.
The processor comes as Intel endeavors to catch up with quantum computer rivals like IBM and Google. The chipmaker hopes it eventually will leapfrog the competition with processors housing vastly more qubits, the data processing element fundamental to quantum computers, than its competitors have. Horse Ridge 2 moves Intel closer to that goal by making Intel’s large-qubit-count designs more workable.
As smartphones and computers have got smaller, the pressure is on technology companies to keep up and produce computer chips that are faster than before, but the same size or smaller than their predecessors. However, one company still believes that bigger is better.
Cerebras systems have designed a goliath computer chip that may be capable of sailing past the competition in specific tasks, claims a collaboration between Cerebras and the National Energy Technology Laboratory (NETL) in a preprint paper (not yet peer-reviewed) published on arXIV and presented to the SC20 conference this week. Designed to “revolutionize deep learning,” the CS-1 measures 8.5 inches (21.6 centimeters) across, packs in 1.2 trillion transistors, and, according to the company, is 200 times faster than rival supercomputer Joule 2.0 (the 82nd fastest supercomputer in the world) in a combustion simulation.
In fact, this chip could be so fast that it could simulate an event
A recent test of the biggest computer chip in the world found that it can predict what is going to happen in the future “faster than the laws of physics produce the same result”, researchers have said.
The Cerebras CS-1 chip, which contains 1.2 trillion transistors, performed 200-times faster than a supercomputer when simulating combustion within a powerplant.
The 462 cm2 chip proved so powerful in analysing over a million variables – from fluctuating temperatures to 3D air movement – that it was able to show what would happen faster than real-time.
Developed in partnership with the US Department of Energy’s National Energy Technology Laboratory, the Cerebras CS-1 is described as “the world’s most powerful AI compute system”. The number of transistors is 22-times that of the recently announced Nvidia A100 80GB chip, designed for state-of-the-art supercomputers.
Apple has revealed a new 13-inch MacBook Pro that includes its own “M1” chip.
It is the third computer Apple revealed with the new processor, following the Mac Mini and new MacBook Air.
Just like the other new computers, the new MacBook Pro is the same price as the previous 13-inch version, costing $1,099.
It can be pre-ordered from today and will be available next week.
Like those other two computers, the 13-inch MacBook Pro looks the same as its predecessor on the outside, and Apple will continue to sell a version of the computer with an Intel processor.
But just as with those other two computers, the introduction of Apple’s M1 means that the computer is much faster without adding any extra thermal or power requirements, Apple said in its introduction.
The CPU is up to 2.8 times faster than the previous generation, and
In a major engineering milestone, engineers have created a new circuit that combines two integral parts of a computer chip, with the potential to revolutionize everything from IoT devices to data centers.
The new chips are created with a new 2D material that helps the chips combine logic operations and memory functions, in turn saving considerable amounts of energy.
The development comes courtesy of researchers at the Swiss research institute, École Polytechnique Fédérale de Lausanne (EPFL). Working at the EPFL’s Laboratory of Nanoscale Electronics and Structures (LANES), the researchers used a new 2D material to combine compute and storage.
More bang for the buck
Talking about the benefits of the new chip, Andras Kis, the head of LANES says the new chip “opens the door to devices that are smaller, more powerful and more energy efficient.”
The energy efficiency of computer chips is governed by the von Neumann architecture, which
Engineers at EPFL have made a breakthrough in electronics with the development of a computer chip combining logic operations and data storage into a single architecture. The breakthrough paves the way for more efficient computing devices in the future. The breakthrough came from the EPFL’s Laboratory of Nanoscale Electronics and Structures.
Engineers say the architecture could have major benefits for artificial intelligence systems. The tech is the first to use a 2D material for a logic-in-memory architecture. That architecture combines both logic and memory functions. The energy efficiency of computer chips is traditionally limited by the von Neumann architecture currently used with data processing and data storage in two separate units.
Having data processing and storage in separate units means data has to be transferred continuously between the two using up time and energy. Combining processing and storage into a single architecture allows a reduction of both time and energy
If you’re thinking of buying an iPhone 12 Pro, you might have to wait a bit longer than expected to receive it. It appears that Apple is currently facing a shortage of power management chips that are vital to supporting new camera features and 5G, Bloomberg reports.
This isn’t super surprising. The global pandemic wreaked havoc on supply chains earlier this year, and it seems this particular shortage stems from increased demand for silicon amid those issues. The iPhone 12 lineup was itself delayed by about a month due to production issues related to supply chain disruptions. Adding to that, 5G smartphones purportedly require 30-40% more “chip content” compared to 4G, according to Taiwan Semiconductor Manufacturing Co (TSMC) and as reported by Bloomberg. And then compounding that, some tech companies like Huawei have been stockpiling components to prepare for potential shortages…thereby creating
It’s a major breakthrough in the field of electronics. Engineers at EPFL’s Laboratory of Nanoscale Electronics and Structures (LANES) have developed a next-generation circuit that allows for smaller, faster and more energy-efficient devices — which would have major benefits for artificial-intelligence systems. Their revolutionary technology is the first to use a 2D material for what’s called a logic-in-memory architecture, or a single architecture that combines logic operations with a memory function. The research team’s findings appear today in Nature.
Until now, the energy efficiency of computer chips has been limited by the von Neumann architecture they currently use, where data processing and data storage take place in two separate units. That means data must constantly be transferred between the two units, using up a considerable amount of time and energy.
By combining the two units into a single structure, engineers can reduce these losses. That’s the idea behind the
Qualcomm (QCOM) – Get Report is soaring to new highs after posting strong results and guidance, making new disclosures about its massive chip unit and offering an upbeat outlook for 2021 5G phone sales.
After the bell on Wednesday, Qualcomm reported September quarter (fiscal fourth quarter) revenue of $6.5 billion (up 35% annually) and non-GAAP EPS of $1.45 (up 86%), comfortably beating FactSet consensus estimates of $5.9 billion and $1.17.
For the December quarter, Qualcomm guided for revenue of $7.8 billion to $8.6 billion and non-GAAP EPS of $1.95 to $2.15. Those ranges are respectively above consensus estimates of $7.14 billion and $1.69, and they imply 62% and 107% annual growth at their midpoints.