Nvidia has launched PAIR, a free open-source tool that links compatible computers on a home network so they can pool idle processing power for local AI inference and agentic workloads. "While the compatible devices are mostly Nvidia GeForce GPUs (PAIR works with RTX 20-series cards and newer, as well as RTX Pro GPUs and DGX Spark systems), Apple's M4 chips or newer will also work," reports The Verge. From the report: The key thing here is that PAIR uses your in-home systems when they're idle to avoid interfering with other tasks. And this disaggregated system of computers can work in parallel to chew through lots of processing requests -- which should be helpful for an agentic workflow that breaks complex tasks into smaller jobs. This should prevent large bottlenecks on a single GPU, and Nvidia says PAIR can adapt as devices join or leave the network -- including if a user does something like start playing a game on their desktop PC. [...] Nvidia says PAIR is secured by pairing all devices through a six digit code and then securing the channel via mTLS (Mutual Transport Layer Security), to create an encrypted communication line that's trusted in both directions between computers. The Nvidia PAIR beta is available today, with support for Windows, Linux, and macOS.

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It's "radically different from other quantum computers" reports Phys.org. The Helios system uses trapped ions — charged atoms suspended in free space using electromagnetic fields. But it operates with 98 qubits — making it the largest trapped-ion quantum computer built so far. Quantinuum, the company behind the device, is based in Cambridge, U.K., and Broomfield, Colorado. It demonstrated earlier machines operating on 32 qubits in 2023 and 56 qubits in 2025... It relies on two major advances — one in hardware and one in software. First, the four-way X junction lets the system handle several tasks at once rather than one at a time, which is much faster. That was impossible in earlier QCCD [quantum charge-coupled device] machines, which could only move data back and forth in a single line or loop. Second, judicious use of the freedom offered by the two dimensions of the X junction relies on new classical control software called Helios runtime, which plans the smartest, fastest route for moving and processing the data. Together, these represent a substantial advance in the engineering of quantum computers. An important consequence is that Helios can perform computations that cannot be performed even on the largest supercomputers using known methods within reasonable amounts of time and power consumption. This demonstrates the ability of this device and its successors to surpass the computational prowess of classical computers — although their algorithms and hardware are rapidly advancing, too. Having said that, Helios' computations have just been random benchmark tests, so the practical importance of this leap forward is still limited. To perform quantum computations of practical importance in science and commerce, even the most optimistic estimates suggest that quantum computers must be enormously bigger and better — of the order of a million qubits.

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alternative_right shares a report from Phys.org: Optical fibers are already the backbone of global communication systems. Recently, however, physicists have started to explore how their functionality could be boosted further by conveying information via entangled quantum particles -- potentially enabling instantaneous exchanges of information across vast distances. Such a system could eventually be the basis of a future 'quantum internet,' offering a level of security and computing power beyond anything possible today. In new research published in Physical Review Letters, a team led by Xi-Yu Luo at the University of Science and Technology of China in Hefei has pushed that vision further than ever, entangling two quantum memories across 420 kilometers (261 miles) of optical fiber -- more than four times the previous record.

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