By cooling atoms down to near absolute zero and then controlling them with lasers, a company has successfully created a 100-qubit quantum processor that compares to the systems developed by leading quantum players to date. ColdQuanta, a US-based company that specializes in the manipulation of cold atoms, unveiled the new quantum processor unit, which will form the basis of the company’s 100-qubit gate-based quantum computer, code-named Hilbert, launching later this year after final tuning and optimization work. here are various different approaches to quantum computing, and among those that have risen to prominence in the last few years feature superconducting systems, trapped ions, photonic quantum computers and even silicon spin qubits.
ZDNet “Quantum computing: This new 100-qubit processor is built with atoms cooled down near to absolute zero”
I have put up a article from Nvidia Perspective on the Top 500 Interconnect Trends. There is another article put up by the NextPlatform that took a closer look at the Infiniband and Ethernet Trends
The penetration of Ethernet rises as the list fans out, as you might expect, with many academic and industry HPC systems not being able to afford InfiniBand or not willing to switch away from Ethernet. And as those service providers, cloud builders, and hyperscalers run Linpack on small portions of their clusters for whatever political or business reasons they have. Relatively slow Ethernet is popular in the lower half of the Top500 list, and while InfiniBand gets down there, its penetration drops from 70 percent in the Top10 to 34 percent in the complete Top500.
Nvidia’s InfiniBand has 34 percent share of Top500 interconnects, with 170 systems, but what has not been obvious is the rise of Mellanox Spectrum and Spectrum-2 Ethernet switches on the Top500, which accounted for 148 additional systems. That gives Nvidia a 63.6 percent share of all interconnects on the Top500 rankings. That is the kind of market share that Cisco Systems used to enjoy for two decades in the enterprise datacenter, and that is quite an accomplishment.
Taken from The Next Platform “The Eternal Battle Between Infiniband and Ethernet”
Quantum computing is coming on leaps and bounds. Now there’s an operating system available on a chip thanks to a Cambridge University-led consortia with a vision is make quantum computers as transparent and well known as RaspberryPi. This “sensational breakthrough” is likened by the Cambridge Independent Press to the moment during the 1960s when computers shrunk from being room-sized to being sat on top of a desk. Around 50 quantum computers have been built to date, and they all use different software – there is no quantum equivalent of Windows, IOS or Linux. The new project will deliver an OS that allows the same quantum software to run on different types of quantum computing hardware.
Redshark “Quantum Computing just got desktop sized”
IBM researchers have finally proven in a real-world experiment that quantum computers are superior to classical devices – although for now, only at a miniature scale.
Big Blue’s quantum team set out to discover if today’s quantum devices, despite their limitations, could be used to complete a task that cannot be done on a classical system.
Since quantum computing is still in its infancy, the researchers leveled the playing field between the two methods by designing a microscopic experiment with limited space – that is, limited amount of available memory.
AI/ML, more sophisticated analytics, and larger-scale HPC problems all bode well for the on-prem storage market in high performance computing (HPC) and are an even bigger boon for cloud storage vendors.
Nossokoff points to several shifts in the storage industry and among the top supercomputing sites, particularly in the U.S. that reflect changing priorities with storage technologies, especially with the mixed file problems AI/ML introduce into the traditional HPC storage hierarchy. “We’re seeing a focus on raw sequential large block performance in terms of TB/s, high-throughput metadata and random small-block IOPS performance, cost-effective capacity for increasingly large datasets in all HPC workloads, and work to add intelligent placement of data so it’s where it needs to be.”
In addition to keeping pace with the storage tweaks to suit AI/ML as well as traditional HPC, there have been shifts in the vendor ecosystem this year as well. These will likely have an impact on what some of the largest HPC sites do over the coming years as they build and deploy their first exascale machines. Persistent memory is becoming more common, companies like Samsung are moving from NVMe to CXL, which is an indication of where that might fit in the future HPC storage and memory stack. Companies like Vast Data, which were once seen as an up and coming player in the on-prem storage hardware space for HPC transformed into a software company, Nossokoff says.
On-Prem No Longer Centre Stage for Broader HPC Storage – NextPlatform