https://www.infoq.com InfoQ Hardware feed https://www.infoq.com/presentations/strategy-workload-hardware/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Hardware <img src="https://res.infoq.com/presentations/strategy-workload-hardware/en/mediumimage/medium-1777370214319.jpg"/><p>The speakers explain the inherent tension between service efficiency and reliability at Netflix's global scale. They share a mental model for "risk-adjusted net value," moving beyond simple CPU utilization to focus on capacity buffers. They discuss hardware shaping, proactive traffic steering, and reactive levers like "hammers" and prioritized load shedding to protect critical playback.</p> <i>By Joseph Lynch, Argha C</i> Transcripts Case Study QCon San Francisco 2025 Hardware Resilience DevOps presentation Tue, 05 May 2026 14:00:00 GMT https://www.infoq.com/presentations/strategy-workload-hardware/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Hardware Joseph Lynch, Argha C 2026-05-05T14:00:00Z /presentations/strategy-workload-hardware/en https://www.infoq.com/news/2026/04/nvidia-ising-quantum/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Hardware <img src="https://res.infoq.com/news/2026/04/nvidia-ising-quantum/en/headerimage/generatedHeaderImage-1777556888537.jpg"/><p>NVIDIA has announced a new family of open models called NVIDIA Ising, designed to address quantum processor calibration and quantum error correction. These are two of the main engineering challenges limiting the scalability of current quantum systems, where noise and instability in qubits reduce the reliability of computations.</p> <i>By Daniel Dominguez</i> Artificial Intelligence Large language models Hardware Quantum Computing AI, ML & Data Engineering news Thu, 30 Apr 2026 20:44:00 GMT https://www.infoq.com/news/2026/04/nvidia-ising-quantum/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Hardware Daniel Dominguez 2026-04-30T20:44:00Z /news/2026/04/nvidia-ising-quantum/en